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Xue Y, Boivin JR, Wadduwage DN, Park JK, Nedivi E, So PTC. Multiline orthogonal scanning temporal focusing (mosTF) microscopy for scattering reduction in in vivo brain imaging. Sci Rep 2024; 14:10954. [PMID: 38740797 PMCID: PMC11091065 DOI: 10.1038/s41598-024-57208-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 03/15/2024] [Indexed: 05/16/2024] Open
Abstract
Temporal focusing two-photon microscopy has been utilized for high-resolution imaging of neuronal and synaptic structures across volumes spanning hundreds of microns in vivo. However, a limitation of temporal focusing is the rapid degradation of the signal-to-background ratio and resolution with increasing imaging depth. This degradation is due to scattered emission photons being widely distributed, resulting in a strong background. To overcome this challenge, we have developed multiline orthogonal scanning temporal focusing (mosTF) microscopy. mosTF captures a sequence of images at each scan location of the excitation line. A reconstruction algorithm then reassigns scattered photons back to their correct scan positions. We demonstrate the effectiveness of mosTF by acquiring neuronal images of mice in vivo. Our results show remarkable improvements in in vivo brain imaging with mosTF, while maintaining its speed advantage.
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Affiliation(s)
- Yi Xue
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Laser Biomedical Research Center, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Department of Biomedical Engineering, University of California, Davis, CA, 95616, USA
| | - Josiah R Boivin
- Picower Institute, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Dushan N Wadduwage
- Laser Biomedical Research Center, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Center for Advanced Imaging, Faculty of Arts and Sciences, Harvard University, Cambridge, MA, 02138, USA
| | - Jong Kang Park
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Elly Nedivi
- Picower Institute, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Peter T C So
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
- Laser Biomedical Research Center, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
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2
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Xue Y, Boivin JR, Wadduwage DN, Park JK, Nedivi E, So PT. Multiline Orthogonal Scanning Temporal Focusing (mosTF) Microscopy for Scattering Reduction in High-speed in vivo Brain Imaging. RESEARCH SQUARE 2023:rs.3.rs-3576146. [PMID: 38014213 PMCID: PMC10680946 DOI: 10.21203/rs.3.rs-3576146/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Temporal focusing two-photon microscopy enables high resolution imaging of fine structures in vivo over a large volume. A limitation of temporal focusing is that signal-to-background ratio and resolution degrade rapidly with increasing imaging depth. This degradation originates from the scattered emission photons are widely distributed resulting in a strong background. We have developed Multiline Orthogonal Scanning Temporal Focusing (mosTF) microscopy that overcomes this problem. mosTF captures a sequence of images at each scan location of the excitation line, followed by a reconstruction algorithm reassigns scattered photons back to the correct scan position. We demonstrate mosTF by acquiring mice neuronal images in vivo. Our results show remarkably improvements with mosTF for in vivo brain imaging while maintaining its speed advantage.
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Affiliation(s)
- Yi Xue
- Dept. of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
- Laser Biomedical Research Center, Massachusetts Institute of Technology, Cambridge, MA 02139
- Dept. of Biomedical Engineering, University of California, Davis, CA 95616, USA
| | - Josiah R. Boivin
- Picower Institute, Massachusetts Institute of Technology, Cambridge, MA 02139
| | - Dushan N. Wadduwage
- Laser Biomedical Research Center, Massachusetts Institute of Technology, Cambridge, MA 02139
- Dept. of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
- Center for Advanced Imaging, Faculty of Arts and Sciences, Harvard University, Cambridge, MA 02138
| | - Jong Kang Park
- Dept. of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
| | - Elly Nedivi
- Picower Institute, Massachusetts Institute of Technology, Cambridge, MA 02139
- Dept. of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139
- Dept. of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139
| | - Peter T.C. So
- Dept. of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
- Laser Biomedical Research Center, Massachusetts Institute of Technology, Cambridge, MA 02139
- Dept. of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
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Platisa J, Ye X, Ahrens AM, Liu C, Chen IA, Davison IG, Tian L, Pieribone VA, Chen JL. High-speed low-light in vivo two-photon voltage imaging of large neuronal populations. Nat Methods 2023; 20:1095-1103. [PMID: 36973547 PMCID: PMC10894646 DOI: 10.1038/s41592-023-01820-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 02/16/2023] [Indexed: 03/29/2023]
Abstract
Monitoring spiking activity across large neuronal populations at behaviorally relevant timescales is critical for understanding neural circuit function. Unlike calcium imaging, voltage imaging requires kilohertz sampling rates that reduce fluorescence detection to near shot-noise levels. High-photon flux excitation can overcome photon-limited shot noise, but photobleaching and photodamage restrict the number and duration of simultaneously imaged neurons. We investigated an alternative approach aimed at low two-photon flux, which is voltage imaging below the shot-noise limit. This framework involved developing positive-going voltage indicators with improved spike detection (SpikeyGi and SpikeyGi2); a two-photon microscope ('SMURF') for kilohertz frame rate imaging across a 0.4 mm × 0.4 mm field of view; and a self-supervised denoising algorithm (DeepVID) for inferring fluorescence from shot-noise-limited signals. Through these combined advances, we achieved simultaneous high-speed deep-tissue imaging of more than 100 densely labeled neurons over 1 hour in awake behaving mice. This demonstrates a scalable approach for voltage imaging across increasing neuronal populations.
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Affiliation(s)
- Jelena Platisa
- Department of Cellular and Molecular Physiology, Yale University, New Haven, CT, USA
- The John B. Pierce Laboratory, New Haven, CT, USA
| | - Xin Ye
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
- Neurophotonics Center, Boston University, Boston, MA, USA
| | | | - Chang Liu
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | | | - Ian G Davison
- Neurophotonics Center, Boston University, Boston, MA, USA
- Department of Biology, Boston University, Boston, MA, USA
- Center for Systems Neuroscience, Boston University, Boston, MA, USA
| | - Lei Tian
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
- Neurophotonics Center, Boston University, Boston, MA, USA
- Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA
| | - Vincent A Pieribone
- Department of Cellular and Molecular Physiology, Yale University, New Haven, CT, USA.
- The John B. Pierce Laboratory, New Haven, CT, USA.
- Department of Neuroscience, Yale University, New Haven, CT, USA.
| | - Jerry L Chen
- Department of Biomedical Engineering, Boston University, Boston, MA, USA.
- Neurophotonics Center, Boston University, Boston, MA, USA.
- Department of Biology, Boston University, Boston, MA, USA.
- Center for Systems Neuroscience, Boston University, Boston, MA, USA.
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4
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Hernández IC, Yau J, Rishøj L, Cui N, Minderler S, Jowett N. Tutorial: multiphoton microscopy to advance neuroscience research. Methods Appl Fluoresc 2023; 11. [PMID: 36753763 DOI: 10.1088/2050-6120/acba66] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 02/08/2023] [Indexed: 02/10/2023]
Abstract
Multiphoton microscopy (MPM) employs ultrafast infrared lasers for high-resolution deep three-dimensional imaging of live biological samples. The goal of this tutorial is to provide a practical guide to MPM imaging for novice microscopy developers and life-science users. Principles of MPM, microscope setup, and labeling strategies are discussed. Use of MPM to achieve unprecedented imaging depth of whole mounted explants and intravital imaging via implantable glass windows of the mammalian nervous system is demonstrated.
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Affiliation(s)
- Iván Coto Hernández
- Surgical Photonics & Engineering Laboratory, Mass Eye and Ear, Harvard Medical School, 243 Charles St, Boston, MA, United States of America
| | - Jenny Yau
- Surgical Photonics & Engineering Laboratory, Mass Eye and Ear, Harvard Medical School, 243 Charles St, Boston, MA, United States of America
| | - Lars Rishøj
- Technical University of Denmark, DTU Electro, Ørsteds Plads 343, 2800 Kgs. Lyngby, Denmark
| | - Nanke Cui
- Surgical Photonics & Engineering Laboratory, Mass Eye and Ear, Harvard Medical School, 243 Charles St, Boston, MA, United States of America
| | - Steven Minderler
- Surgical Photonics & Engineering Laboratory, Mass Eye and Ear, Harvard Medical School, 243 Charles St, Boston, MA, United States of America
| | - Nate Jowett
- Surgical Photonics & Engineering Laboratory, Mass Eye and Ear, Harvard Medical School, 243 Charles St, Boston, MA, United States of America
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5
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Park WY, Kim B, Chun JH, Hong SM, Oh BH, Kim KH. High-contrast visualization of human skin cancers with combined reflectance confocal and moxifloxacin-based two-photon microscopy: An ex vivo study. Lasers Surg Med 2022; 54:1226-1237. [PMID: 36087014 DOI: 10.1002/lsm.23600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 08/18/2022] [Accepted: 08/28/2022] [Indexed: 11/10/2022]
Abstract
BACKGROUND AND OBJECTIVES Precise determination of cancer margin during skin cancer surgery is crucial for complete resection and further clinical prognosis. Although reflection confocal microscopy (RCM) has been used for perioperative guiding, its reflection contrast has limitations in detecting cancer cells in the dermis. We previously developed combined reflection confocal (RC) and moxifloxacin-based two-photon (MB-TP) microscopy for sensitive cancer detection by using multiple contrast mechanisms. In this study, the performance of combined microscopy was characterized in various skin cancer specimens and compared with standard methods. MATERIALS AND METHODS Seven human skin specimens in total including two normal ones, three basal cell carcinomas (BCCs), and two squamous cell carcinomas (SCCs) were collected and imaged in fresh condition. Moxifloxacin ophthalmic solution was topically instilled for cell labeling for 3-5 minutes, then mosaic imaging with the combined microscopy was conducted. The imaged specimens were imaged again after exogenous nuclear labeling for comparison and then processed for standard hematoxylin and eosin histology. RESULTS Combined RC and MB-TP microscopy visualized both cell and extracellular matrix structures of the skin specimens with multiple contrasts of reflection, moxifloxacin fluorescence, autofluorescence, and second harmonic generation. It distinguished normal cell structures in the skin dermis such as hair follicles, sebaceous and eccrine glands from BCC nests, and SCCs based on cell organization. Normal cell structures had organized cell arrangements for their functions, while cancer cell structures had dense and disorganized cell arrangements. Cellular features found by combined microscopy images were confirmed by both TP microscopy with nuclear labeling and histological examination. CONCLUSIONS The imaging results showed the potential of combined microscopy for sensitive cancer detection and in vivo guiding of skin cancer surgery.
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Affiliation(s)
- Won Yeong Park
- Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang, Gyeongbuk, Republic of Korea
| | - Bumju Kim
- Division of Integrative Biosciences and Biotechnology, Pohang University of Science and Technology, Pohang, Gyeongbuk, Republic of Korea
| | - Ji Hyun Chun
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Seung-Mo Hong
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Byung Ho Oh
- Department of Dermatology, College of Medicine, Yonsei University, Seoul, Republic of Korea
| | - Ki Hean Kim
- Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang, Gyeongbuk, Republic of Korea.,Division of Integrative Biosciences and Biotechnology, Pohang University of Science and Technology, Pohang, Gyeongbuk, Republic of Korea
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Fluorescence imaging of large-scale neural ensemble dynamics. Cell 2022; 185:9-41. [PMID: 34995519 PMCID: PMC8849612 DOI: 10.1016/j.cell.2021.12.007] [Citation(s) in RCA: 57] [Impact Index Per Article: 28.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 12/06/2021] [Accepted: 12/07/2021] [Indexed: 12/14/2022]
Abstract
Recent progress in fluorescence imaging allows neuroscientists to observe the dynamics of thousands of individual neurons, identified genetically or by their connectivity, across multiple brain areas and for extended durations in awake behaving mammals. We discuss advances in fluorescent indicators of neural activity, viral and genetic methods to express these indicators, chronic animal preparations for long-term imaging studies, and microscopes to monitor and manipulate the activity of large neural ensembles. Ca2+ imaging studies of neural activity can track brain area interactions and distributed information processing at cellular resolution. Across smaller spatial scales, high-speed voltage imaging reveals the distinctive spiking patterns and coding properties of targeted neuron types. Collectively, these innovations will propel studies of brain function and dovetail with ongoing neuroscience initiatives to identify new neuron types and develop widely applicable, non-human primate models. The optical toolkit's growing sophistication also suggests that "brain observatory" facilities would be useful open resources for future brain-imaging studies.
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7
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Abdelfattah AS, Ahuja S, Akkin T, Allu SR, Brake J, Boas DA, Buckley EM, Campbell RE, Chen AI, Cheng X, Čižmár T, Costantini I, De Vittorio M, Devor A, Doran PR, El Khatib M, Emiliani V, Fomin-Thunemann N, Fainman Y, Fernandez-Alfonso T, Ferri CGL, Gilad A, Han X, Harris A, Hillman EMC, Hochgeschwender U, Holt MG, Ji N, Kılıç K, Lake EMR, Li L, Li T, Mächler P, Miller EW, Mesquita RC, Nadella KMNS, Nägerl UV, Nasu Y, Nimmerjahn A, Ondráčková P, Pavone FS, Perez Campos C, Peterka DS, Pisano F, Pisanello F, Puppo F, Sabatini BL, Sadegh S, Sakadzic S, Shoham S, Shroff SN, Silver RA, Sims RR, Smith SL, Srinivasan VJ, Thunemann M, Tian L, Tian L, Troxler T, Valera A, Vaziri A, Vinogradov SA, Vitale F, Wang LV, Uhlířová H, Xu C, Yang C, Yang MH, Yellen G, Yizhar O, Zhao Y. Neurophotonic tools for microscopic measurements and manipulation: status report. NEUROPHOTONICS 2022; 9:013001. [PMID: 35493335 PMCID: PMC9047450 DOI: 10.1117/1.nph.9.s1.013001] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
Neurophotonics was launched in 2014 coinciding with the launch of the BRAIN Initiative focused on development of technologies for advancement of neuroscience. For the last seven years, Neurophotonics' agenda has been well aligned with this focus on neurotechnologies featuring new optical methods and tools applicable to brain studies. While the BRAIN Initiative 2.0 is pivoting towards applications of these novel tools in the quest to understand the brain, this status report reviews an extensive and diverse toolkit of novel methods to explore brain function that have emerged from the BRAIN Initiative and related large-scale efforts for measurement and manipulation of brain structure and function. Here, we focus on neurophotonic tools mostly applicable to animal studies. A companion report, scheduled to appear later this year, will cover diffuse optical imaging methods applicable to noninvasive human studies. For each domain, we outline the current state-of-the-art of the respective technologies, identify the areas where innovation is needed, and provide an outlook for the future directions.
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Affiliation(s)
- Ahmed S. Abdelfattah
- Brown University, Department of Neuroscience, Providence, Rhode Island, United States
| | - Sapna Ahuja
- University of Pennsylvania, Perelman School of Medicine, Department of Biochemistry and Biophysics, Philadelphia, Pennsylvania, United States
- University of Pennsylvania, School of Arts and Sciences, Department of Chemistry, Philadelphia, Pennsylvania, United States
| | - Taner Akkin
- University of Minnesota, Department of Biomedical Engineering, Minneapolis, Minnesota, United States
| | - Srinivasa Rao Allu
- University of Pennsylvania, Perelman School of Medicine, Department of Biochemistry and Biophysics, Philadelphia, Pennsylvania, United States
- University of Pennsylvania, School of Arts and Sciences, Department of Chemistry, Philadelphia, Pennsylvania, United States
| | - Joshua Brake
- Harvey Mudd College, Department of Engineering, Claremont, California, United States
| | - David A. Boas
- Boston University, Department of Biomedical Engineering, Boston, Massachusetts, United States
| | - Erin M. Buckley
- Georgia Institute of Technology and Emory University, Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia, United States
- Emory University, Department of Pediatrics, Atlanta, Georgia, United States
| | - Robert E. Campbell
- University of Tokyo, Department of Chemistry, Tokyo, Japan
- University of Alberta, Department of Chemistry, Edmonton, Alberta, Canada
| | - Anderson I. Chen
- Boston University, Department of Biomedical Engineering, Boston, Massachusetts, United States
| | - Xiaojun Cheng
- Boston University, Department of Biomedical Engineering, Boston, Massachusetts, United States
| | - Tomáš Čižmár
- Institute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic
| | - Irene Costantini
- University of Florence, European Laboratory for Non-Linear Spectroscopy, Department of Biology, Florence, Italy
- National Institute of Optics, National Research Council, Rome, Italy
| | - Massimo De Vittorio
- Istituto Italiano di Tecnologia, Center for Biomolecular Nanotechnologies, Arnesano, Italy
| | - Anna Devor
- Boston University, Department of Biomedical Engineering, Boston, Massachusetts, United States
- Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, United States
| | - Patrick R. Doran
- Boston University, Department of Biomedical Engineering, Boston, Massachusetts, United States
| | - Mirna El Khatib
- University of Pennsylvania, Perelman School of Medicine, Department of Biochemistry and Biophysics, Philadelphia, Pennsylvania, United States
- University of Pennsylvania, School of Arts and Sciences, Department of Chemistry, Philadelphia, Pennsylvania, United States
| | | | - Natalie Fomin-Thunemann
- Boston University, Department of Biomedical Engineering, Boston, Massachusetts, United States
| | - Yeshaiahu Fainman
- University of California San Diego, Department of Electrical and Computer Engineering, La Jolla, California, United States
| | - Tomas Fernandez-Alfonso
- University College London, Department of Neuroscience, Physiology and Pharmacology, London, United Kingdom
| | - Christopher G. L. Ferri
- University of California San Diego, Departments of Neurosciences, La Jolla, California, United States
| | - Ariel Gilad
- The Hebrew University of Jerusalem, Institute for Medical Research Israel–Canada, Department of Medical Neurobiology, Faculty of Medicine, Jerusalem, Israel
| | - Xue Han
- Boston University, Department of Biomedical Engineering, Boston, Massachusetts, United States
| | - Andrew Harris
- Weizmann Institute of Science, Department of Brain Sciences, Rehovot, Israel
| | | | - Ute Hochgeschwender
- Central Michigan University, Department of Neuroscience, Mount Pleasant, Michigan, United States
| | - Matthew G. Holt
- University of Porto, Instituto de Investigação e Inovação em Saúde (i3S), Porto, Portugal
| | - Na Ji
- University of California Berkeley, Department of Physics, Berkeley, California, United States
| | - Kıvılcım Kılıç
- Boston University, Department of Biomedical Engineering, Boston, Massachusetts, United States
| | - Evelyn M. R. Lake
- Yale School of Medicine, Department of Radiology and Biomedical Imaging, New Haven, Connecticut, United States
| | - Lei Li
- California Institute of Technology, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, Pasadena, California, United States
| | - Tianqi Li
- University of Minnesota, Department of Biomedical Engineering, Minneapolis, Minnesota, United States
| | - Philipp Mächler
- Boston University, Department of Biomedical Engineering, Boston, Massachusetts, United States
| | - Evan W. Miller
- University of California Berkeley, Departments of Chemistry and Molecular & Cell Biology and Helen Wills Neuroscience Institute, Berkeley, California, United States
| | | | | | - U. Valentin Nägerl
- Interdisciplinary Institute for Neuroscience University of Bordeaux & CNRS, Bordeaux, France
| | - Yusuke Nasu
- University of Tokyo, Department of Chemistry, Tokyo, Japan
| | - Axel Nimmerjahn
- Salk Institute for Biological Studies, Waitt Advanced Biophotonics Center, La Jolla, California, United States
| | - Petra Ondráčková
- Institute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic
| | - Francesco S. Pavone
- National Institute of Optics, National Research Council, Rome, Italy
- University of Florence, European Laboratory for Non-Linear Spectroscopy, Department of Physics, Florence, Italy
| | - Citlali Perez Campos
- Columbia University, Zuckerman Mind Brain Behavior Institute, New York, United States
| | - Darcy S. Peterka
- Columbia University, Zuckerman Mind Brain Behavior Institute, New York, United States
| | - Filippo Pisano
- Istituto Italiano di Tecnologia, Center for Biomolecular Nanotechnologies, Arnesano, Italy
| | - Ferruccio Pisanello
- Istituto Italiano di Tecnologia, Center for Biomolecular Nanotechnologies, Arnesano, Italy
| | - Francesca Puppo
- University of California San Diego, Departments of Neurosciences, La Jolla, California, United States
| | - Bernardo L. Sabatini
- Harvard Medical School, Howard Hughes Medical Institute, Department of Neurobiology, Boston, Massachusetts, United States
| | - Sanaz Sadegh
- University of California San Diego, Departments of Neurosciences, La Jolla, California, United States
| | - Sava Sakadzic
- Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, United States
| | - Shy Shoham
- New York University Grossman School of Medicine, Tech4Health and Neuroscience Institutes, New York, New York, United States
| | - Sanaya N. Shroff
- Boston University, Department of Biomedical Engineering, Boston, Massachusetts, United States
| | - R. Angus Silver
- University College London, Department of Neuroscience, Physiology and Pharmacology, London, United Kingdom
| | - Ruth R. Sims
- Sorbonne University, INSERM, CNRS, Institut de la Vision, Paris, France
| | - Spencer L. Smith
- University of California Santa Barbara, Department of Electrical and Computer Engineering, Santa Barbara, California, United States
| | - Vivek J. Srinivasan
- New York University Langone Health, Departments of Ophthalmology and Radiology, New York, New York, United States
| | - Martin Thunemann
- Boston University, Department of Biomedical Engineering, Boston, Massachusetts, United States
| | - Lei Tian
- Boston University, Departments of Electrical Engineering and Biomedical Engineering, Boston, Massachusetts, United States
| | - Lin Tian
- University of California Davis, Department of Biochemistry and Molecular Medicine, Davis, California, United States
| | - Thomas Troxler
- University of Pennsylvania, Perelman School of Medicine, Department of Biochemistry and Biophysics, Philadelphia, Pennsylvania, United States
- University of Pennsylvania, School of Arts and Sciences, Department of Chemistry, Philadelphia, Pennsylvania, United States
| | - Antoine Valera
- University College London, Department of Neuroscience, Physiology and Pharmacology, London, United Kingdom
| | - Alipasha Vaziri
- Rockefeller University, Laboratory of Neurotechnology and Biophysics, New York, New York, United States
- The Rockefeller University, The Kavli Neural Systems Institute, New York, New York, United States
| | - Sergei A. Vinogradov
- University of Pennsylvania, Perelman School of Medicine, Department of Biochemistry and Biophysics, Philadelphia, Pennsylvania, United States
- University of Pennsylvania, School of Arts and Sciences, Department of Chemistry, Philadelphia, Pennsylvania, United States
| | - Flavia Vitale
- Center for Neuroengineering and Therapeutics, Departments of Neurology, Bioengineering, Physical Medicine and Rehabilitation, Philadelphia, Pennsylvania, United States
| | - Lihong V. Wang
- California Institute of Technology, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, Pasadena, California, United States
| | - Hana Uhlířová
- Institute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic
| | - Chris Xu
- Cornell University, School of Applied and Engineering Physics, Ithaca, New York, United States
| | - Changhuei Yang
- California Institute of Technology, Departments of Electrical Engineering, Bioengineering and Medical Engineering, Pasadena, California, United States
| | - Mu-Han Yang
- University of California San Diego, Department of Electrical and Computer Engineering, La Jolla, California, United States
| | - Gary Yellen
- Harvard Medical School, Department of Neurobiology, Boston, Massachusetts, United States
| | - Ofer Yizhar
- Weizmann Institute of Science, Department of Brain Sciences, Rehovot, Israel
| | - Yongxin Zhao
- Carnegie Mellon University, Department of Biological Sciences, Pittsburgh, Pennsylvania, United States
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8
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Zheng C, Park JK, Yildirim M, Boivin JR, Xue Y, Sur M, So PTC, Wadduwage DN. De-scattering with Excitation Patterning enables rapid wide-field imaging through scattering media. SCIENCE ADVANCES 2021; 7:eaay5496. [PMID: 34233883 PMCID: PMC8262816 DOI: 10.1126/sciadv.aay5496] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Accepted: 05/24/2021] [Indexed: 05/04/2023]
Abstract
Nonlinear optical microscopy has enabled in vivo deep tissue imaging on the millimeter scale. A key unmet challenge is its limited throughput especially compared to rapid wide-field modalities that are used ubiquitously in thin specimens. Wide-field imaging methods in tissue specimens have found successes in optically cleared tissues and at shallower depths, but the scattering of emission photons in thick turbid samples severely degrades image quality at the camera. To address this challenge, we introduce a novel technique called De-scattering with Excitation Patterning or "DEEP," which uses patterned nonlinear excitation followed by computational imaging-assisted wide-field detection. Multiphoton temporal focusing allows high-resolution excitation patterns to be projected deep inside specimen at multiple scattering lengths due to the use of long wavelength light. Computational reconstruction allows high-resolution structural features to be reconstructed from tens to hundreds of DEEP images instead of millions of point-scanning measurements.
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Affiliation(s)
- Cheng Zheng
- Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139, USA
- Laser Biomedical Research Center, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139, USA
| | - Jong Kang Park
- Laser Biomedical Research Center, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139, USA
- ASML, Wilton, CT 06897, USA
| | - Murat Yildirim
- Laser Biomedical Research Center, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139, USA
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139, USA
| | - Josiah R Boivin
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139, USA
| | - Yi Xue
- Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139, USA
- Laser Biomedical Research Center, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139, USA
- Deptartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, 558 Cory Hall, Berkeley, CA, 94720, USA
| | - Mriganka Sur
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139, USA
| | - Peter T C So
- Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139, USA
- Laser Biomedical Research Center, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139, USA
| | - Dushan N Wadduwage
- Laser Biomedical Research Center, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139, USA.
- Department of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139, USA
- Center for Advanced Imaging, Faculty of Arts and Sciences, Harvard University, Cambridge, MA 02138, USA
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9
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May MA, Bawart M, Langeslag M, Bernet S, Kress M, Ritsch-Marte M, Jesacher A. High-NA two-photon single cell imaging with remote focusing using a diffractive tunable lens. BIOMEDICAL OPTICS EXPRESS 2020; 11:7183-7191. [PMID: 33408989 PMCID: PMC7747902 DOI: 10.1364/boe.405863] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 10/22/2020] [Accepted: 10/25/2020] [Indexed: 06/12/2023]
Abstract
Fast, volumetric structural and functional imaging of cellular and sub-cellular dynamics inside the living brain is one of the most desired capabilities in the neurosciences, but still faces serious challenges. Specifically, while few solutions for rapid 3D scanning exist, it is generally much easier to facilitate fast in-plane scanning than it is to scan axially at high speeds. Remote focusing in which the imaging plane is shifted along the optical axis by a tunable lens while maintaining the position of the sample and objective is a promising approach to increase the axial scan speed, but existing techniques often introduce severe optical aberrations in high-NA imaging systems, eliminating the possibility of diffraction-limited single-cell imaging. Here, we demonstrate near diffraction-limited, volumetric two-photon fluorescence microscopy in which we resolve the deep sub-micron structures of single microglia cells with axial scanning performed using a novel high-NA remote focusing method. Image contrast is maintained to within 7% compared to mechanical sample stepping and the focal volume remains nearly diffraction-limited over an axial range greater than 86 µm.
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Affiliation(s)
- Molly A. May
- Institute of Biomedical Physics, Medical University of Innsbruck, Müllerstraße 44, 6020 Innsbruck, Austria
| | - Martin Bawart
- Institute of Biomedical Physics, Medical University of Innsbruck, Müllerstraße 44, 6020 Innsbruck, Austria
| | - Michiel Langeslag
- Institute of Physiology, Medical University of Innsbruck, Schöpfstraße 41, 6020 Innsbruck, Austria
| | - Stefan Bernet
- Institute of Biomedical Physics, Medical University of Innsbruck, Müllerstraße 44, 6020 Innsbruck, Austria
| | - Michaela Kress
- Institute of Physiology, Medical University of Innsbruck, Schöpfstraße 41, 6020 Innsbruck, Austria
| | - Monika Ritsch-Marte
- Institute of Biomedical Physics, Medical University of Innsbruck, Müllerstraße 44, 6020 Innsbruck, Austria
| | - Alexander Jesacher
- Institute of Biomedical Physics, Medical University of Innsbruck, Müllerstraße 44, 6020 Innsbruck, Austria
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10
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Liu YL, Perillo EP, Ang P, Kim M, Nguyen DT, Blocher K, Chen YA, Liu C, Hassan AM, Vu HT, Chen YI, Dunn AK, Yeh HC. Three-Dimensional Two-Color Dual-Particle Tracking Microscope for Monitoring DNA Conformational Changes and Nanoparticle Landings on Live Cells. ACS NANO 2020; 14:7927-7939. [PMID: 32668152 PMCID: PMC7456512 DOI: 10.1021/acsnano.9b08045] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Here, we present a three-dimensional two-color dual-particle tracking (3D-2C-DPT) technique that can simultaneously localize two spectrally distinct targets in three dimensions with a time resolution down to 5 ms. The dual-targets can be tracked with separation distances from 33 to 250 nm with tracking precisions of ∼15 nm (for static targets) and ∼35 nm (for freely diffusing targets). Since each target is individually localized, a wealth of data can be extracted, such as the relative 3D position, the 2D rotation, and the separation distance between the two targets. Using this technique, we turn a double-stranded DNA (dsDNA)-linked dumbbell-like dimer into a nanoscopic optical ruler to quantify the bending dynamics of nicked or gapped dsDNA molecules in free solution by manipulating the design of dsDNA linkers (1-nick, 3-nt, 6-nt, or 9-nt single-strand gap), and the results show the increase of kon (linear to bent) from 3.2 to 10.7 s-1. The 3D-2C-DPT is then applied to observe translational and rotational motions of the landing of an antibody-conjugated nanoparticle on the plasma membrane of living cells, revealing the reduction of rotations possibly due to interactions with membrane receptors. This study demonstrates that this 3D-2C-DPT technique is a new tool to shed light on the conformational changes of biomolecules and the intermolecular interactions on plasma membrane.
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Affiliation(s)
- Yen-Liang Liu
- Graduate Institute of Biomedical Sciences, China Medical University, No.91, Hsueh-Shih Road, Taichung 40402, Taiwan
- Center for Molecular Medicine, China Medical University, Taichung 40402, Taiwan
- Department of Biomedical Engineering, The University of Texas at Austin, 107 West Dean Keeton Street, BME Building, Austin, Texas 78712, United States
| | - Evan P Perillo
- Department of Biomedical Engineering, The University of Texas at Austin, 107 West Dean Keeton Street, BME Building, Austin, Texas 78712, United States
- Nanostring Technologies, Seattle, Washington 98109, United States
| | - Phyllis Ang
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Department of Computer Science, Duke University, Durham, North Carolina 27705, United States
| | - Mirae Kim
- Department of Biomedical Engineering, The University of Texas at Austin, 107 West Dean Keeton Street, BME Building, Austin, Texas 78712, United States
| | - Duc Trung Nguyen
- Department of Biomedical Engineering, The University of Texas at Austin, 107 West Dean Keeton Street, BME Building, Austin, Texas 78712, United States
| | - Katherine Blocher
- Department of Biomedical Engineering, The University of Texas at Austin, 107 West Dean Keeton Street, BME Building, Austin, Texas 78712, United States
| | - Yu-An Chen
- Department of Biomedical Engineering, The University of Texas at Austin, 107 West Dean Keeton Street, BME Building, Austin, Texas 78712, United States
| | - Cong Liu
- Department of Biomedical Engineering, The University of Texas at Austin, 107 West Dean Keeton Street, BME Building, Austin, Texas 78712, United States
| | - Ahmed M Hassan
- Department of Biomedical Engineering, The University of Texas at Austin, 107 West Dean Keeton Street, BME Building, Austin, Texas 78712, United States
| | - Huong T Vu
- Department of Biomedical Engineering, The University of Texas at Austin, 107 West Dean Keeton Street, BME Building, Austin, Texas 78712, United States
| | - Yuan-I Chen
- Department of Biomedical Engineering, The University of Texas at Austin, 107 West Dean Keeton Street, BME Building, Austin, Texas 78712, United States
| | - Andrew K Dunn
- Department of Biomedical Engineering, The University of Texas at Austin, 107 West Dean Keeton Street, BME Building, Austin, Texas 78712, United States
| | - Hsin-Chih Yeh
- Department of Biomedical Engineering, The University of Texas at Austin, 107 West Dean Keeton Street, BME Building, Austin, Texas 78712, United States
- Texas Materials Institute, The University of Texas at Austin, Austin, Texas 78712, United States
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11
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Quicke P, Howe CL, Song P, Jadan HV, Song C, Knöpfel T, Neil M, Dragotti PL, Schultz SR, Foust AJ. Subcellular resolution three-dimensional light-field imaging with genetically encoded voltage indicators. NEUROPHOTONICS 2020; 7:035006. [PMID: 32904628 PMCID: PMC7456658 DOI: 10.1117/1.nph.7.3.035006] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 08/07/2020] [Indexed: 05/13/2023]
Abstract
Significance: Light-field microscopy (LFM) enables high signal-to-noise ratio (SNR) and light efficient volume imaging at fast frame rates. Voltage imaging with genetically encoded voltage indicators (GEVIs) stands to particularly benefit from LFM's volumetric imaging capability due to high required sampling rates and limited probe brightness and functional sensitivity. Aim: We demonstrate subcellular resolution GEVI light-field imaging in acute mouse brain slices resolving dendritic voltage signals in three spatial dimensions. Approach: We imaged action potential-induced fluorescence transients in mouse brain slices sparsely expressing the GEVI VSFP-Butterfly 1.2 in wide-field microscopy (WFM) and LFM modes. We compared functional signal SNR and localization between different LFM reconstruction approaches and between LFM and WFM. Results: LFM enabled three-dimensional (3-D) localization of action potential-induced fluorescence transients in neuronal somata and dendrites. Nonregularized deconvolution decreased SNR with increased iteration number compared to synthetic refocusing but increased axial and lateral signal localization. SNR was unaffected for LFM compared to WFM. Conclusions: LFM enables 3-D localization of fluorescence transients, therefore eliminating the need for structures to lie in a single focal plane. These results demonstrate LFM's potential for studying dendritic integration and action potential propagation in three spatial dimensions.
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Affiliation(s)
- Peter Quicke
- Imperial College London, Department of Bioengineering, London, United Kingdom
- Imperial College London, Centre for Neurotechnology, London, United Kingdom
| | - Carmel L. Howe
- Imperial College London, Department of Bioengineering, London, United Kingdom
- Imperial College London, Centre for Neurotechnology, London, United Kingdom
| | - Pingfan Song
- Imperial College London, Department of Electrical and Electronic Engineering, London, United Kingdom
| | - Herman V. Jadan
- Imperial College London, Department of Electrical and Electronic Engineering, London, United Kingdom
| | - Chenchen Song
- Imperial College London, Department of Brain Sciences, London, United Kingdom
| | - Thomas Knöpfel
- Imperial College London, Centre for Neurotechnology, London, United Kingdom
- Imperial College London, Department of Brain Sciences, London, United Kingdom
| | - Mark Neil
- Imperial College London, Centre for Neurotechnology, London, United Kingdom
- Imperial College London, Department of Physics, London, United Kingdom
| | - Pier L. Dragotti
- Imperial College London, Department of Electrical and Electronic Engineering, London, United Kingdom
| | - Simon R. Schultz
- Imperial College London, Department of Bioengineering, London, United Kingdom
- Imperial College London, Centre for Neurotechnology, London, United Kingdom
- Address all correspondence to Simon R. Schultz, E-mail: ; Amanda J. Foust, E-mail:
| | - Amanda J. Foust
- Imperial College London, Department of Bioengineering, London, United Kingdom
- Imperial College London, Centre for Neurotechnology, London, United Kingdom
- Address all correspondence to Simon R. Schultz, E-mail: ; Amanda J. Foust, E-mail:
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12
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Karpf S, Riche CT, Di Carlo D, Goel A, Zeiger WA, Suresh A, Portera-Cailliau C, Jalali B. Spectro-temporal encoded multiphoton microscopy and fluorescence lifetime imaging at kilohertz frame-rates. Nat Commun 2020; 11:2062. [PMID: 32346060 PMCID: PMC7188897 DOI: 10.1038/s41467-020-15618-w] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Accepted: 03/18/2020] [Indexed: 12/21/2022] Open
Abstract
Two-Photon Microscopy has become an invaluable tool for biological and medical research, providing high sensitivity, molecular specificity, inherent three-dimensional sub-cellular resolution and deep tissue penetration. In terms of imaging speeds, however, mechanical scanners still limit the acquisition rates to typically 10-100 frames per second. Here we present a high-speed non-linear microscope achieving kilohertz frame rates by employing pulse-modulated, rapidly wavelength-swept lasers and inertia-free beam steering through angular dispersion. In combination with a high bandwidth, single-photon sensitive detector, this enables recording of fluorescent lifetimes at speeds of 88 million pixels per second. We show high resolution, multi-modal - two-photon fluorescence and fluorescence lifetime (FLIM) - microscopy and imaging flow cytometry with a digitally reconfigurable laser, imaging system and data acquisition system. These high speeds should enable high-speed and high-throughput image-assisted cell sorting.
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Affiliation(s)
- Sebastian Karpf
- Department of Electrical Engineering and Computational Science, University of California, Los Angeles (UCLA), Los Angeles, CA-90095, USA.
- Institute of Biomedical Optics (BMO), University of Luebeck, 23562, Luebeck, Germany.
| | - Carson T Riche
- Department of Bioengineering, University of California, Los Angeles (UCLA), Los Angeles, CA-90095, USA
| | - Dino Di Carlo
- Department of Bioengineering, University of California, Los Angeles (UCLA), Los Angeles, CA-90095, USA
| | - Anubhuti Goel
- Department of Neurology, University of California, Los Angeles (UCLA), Los Angeles, CA-90095, USA
| | - William A Zeiger
- Department of Neurology, University of California, Los Angeles (UCLA), Los Angeles, CA-90095, USA
| | - Anand Suresh
- Department of Neurology, University of California, Los Angeles (UCLA), Los Angeles, CA-90095, USA
| | - Carlos Portera-Cailliau
- Department of Neurology, University of California, Los Angeles (UCLA), Los Angeles, CA-90095, USA
| | - Bahram Jalali
- Department of Electrical Engineering and Computational Science, University of California, Los Angeles (UCLA), Los Angeles, CA-90095, USA
- Department of Bioengineering, University of California, Los Angeles (UCLA), Los Angeles, CA-90095, USA
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13
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Fundamental bounds on the fidelity of sensory cortical coding. Nature 2020; 580:100-105. [PMID: 32238928 DOI: 10.1038/s41586-020-2130-2] [Citation(s) in RCA: 81] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Accepted: 01/21/2020] [Indexed: 12/13/2022]
Abstract
How the brain processes information accurately despite stochastic neural activity is a longstanding question1. For instance, perception is fundamentally limited by the information that the brain can extract from the noisy dynamics of sensory neurons. Seminal experiments2,3 suggest that correlated noise in sensory cortical neural ensembles is what limits their coding accuracy4-6, although how correlated noise affects neural codes remains debated7-11. Recent theoretical work proposes that how a neural ensemble's sensory tuning properties relate statistically to its correlated noise patterns is a greater determinant of coding accuracy than is absolute noise strength12-14. However, without simultaneous recordings from thousands of cortical neurons with shared sensory inputs, it is unknown whether correlated noise limits coding fidelity. Here we present a 16-beam, two-photon microscope to monitor activity across the mouse primary visual cortex, along with analyses to quantify the information conveyed by large neural ensembles. We found that, in the visual cortex, correlated noise constrained signalling for ensembles with 800-1,300 neurons. Several noise components of the ensemble dynamics grew proportionally to the ensemble size and the encoded visual signals, revealing the predicted information-limiting correlations12-14. Notably, visual signals were perpendicular to the largest noise mode, which therefore did not limit coding fidelity. The information-limiting noise modes were approximately ten times smaller and concordant with mouse visual acuity15. Therefore, cortical design principles appear to enhance coding accuracy by restricting around 90% of noise fluctuations to modes that do not limit signalling fidelity, whereas much weaker correlated noise modes inherently bound sensory discrimination.
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14
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High spatiotemporal resolution and low photo-toxicity fluorescence imaging in live cells and in vivo. Biochem Soc Trans 2020; 47:1635-1650. [PMID: 31829403 DOI: 10.1042/bst20190020] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 11/22/2019] [Accepted: 11/26/2019] [Indexed: 12/18/2022]
Abstract
Taking advantage of high contrast and molecular specificity, fluorescence microscopy has played a critical role in the visualization of subcellular structures and function, enabling unprecedented exploration from cell biology to neuroscience in living animals. To record and quantitatively analyse complex and dynamic biological processes in real time, fluorescence microscopes must be capable of rapid, targeted access deep within samples at high spatial resolutions, using techniques including super-resolution fluorescence microscopy, light sheet fluorescence microscopy, and multiple photon microscopy. In recent years, tremendous breakthroughs have improved the performance of these fluorescence microscopies in spatial resolution, imaging speed, and penetration. Here, we will review recent advancements of these microscopies in terms of the trade-off among spatial resolution, sampling speed and penetration depth and provide a view of their possible applications.
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15
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Abstract
When neuroscience’s focus moves from molecular and cellular level to systems level, information technology mixes in and cultivates a new branch neuroinformatics. Especially under the investments of brain initiatives all around the world, brain atlases and connectomics are identified as the substructure to understand the brain. We think it is time to call for a potential interdisciplinary subject, brainsmatics, referring to brain-wide spatial informatics science and emphasizing on precise positioning information affiliated to brain-wide connectome, genome, proteome, transcriptome, metabolome, etc. Brainsmatics methodology includes tracing, surveying, visualizing, and analyzing brain-wide spatial information. Among all imaging techniques, optical imaging is the most appropriate solution to achieve whole-brain connectome in consistent single-neuron resolution. This review aims to introduce contributions of optical imaging to brainsmatics studies, especially the major strategies applied in tracing and surveying processes. After discussions on the state-of-the-art technology, the development objectives of optical imaging in brainsmatics field are suggested. We call for a global contribution to the brainsmatics field from all related communities such as neuroscientists, biologists, engineers, programmers, chemists, mathematicians, physicists, clinicians, pharmacists, etc. As the leading approach, optical imaging will, in turn, benefit from the prosperous development of brainsmatics.
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16
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Wen C, Ren M, Feng F, Chen W, Chen SC. Compressive sensing for fast 3-D and random-access two-photon microscopy. OPTICS LETTERS 2019; 44:4343-4346. [PMID: 31465401 DOI: 10.1364/ol.44.004343] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
3-D two-photon excitation (TPE) microscopy has been a critical tool for biological study since its introduction. Yet, the speed is largely limited by its point detector, e.g., photomultiplier tube (PMT), which requires a point-scanning imaging sequence. In this Letter, we present a multi-focus compressive sensing (CS) method for 3-D and random-access TPE microscopy based on a digital micromirror device (DMD). This new platform combines CS with a unique holography-based DMD random-access scanner to enhance the imaging speed by three to five times for imaging arbitrarily selected regions in 3-D specimens without sacrificing the resolution. In the experiments, 1-20 randomly selected foci are generated by modulating the wavefront of a femtosecond laser via binary holography, where the combined intensity is recorded by a PMT. By exploiting CS algorithms, 3-D images at arbitrarily selected sites can be reconstructed. Simulations and imaging experiments on different samples have been performed to verify the principle and identify the optimal processing parameters, including the number of laser foci and sampling ratios. The results show that high-resolution images can be obtained by using a 25% sampling ratio and five foci. The new CS-based TPE imaging method may find important applications in biological studies, e.g., neuronal imaging and optogenetics.
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17
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Xue Y, Berry KP, Boivin JR, Wadduwage D, Nedivi E, So PTC. Scattering reduction by structured light illumination in line-scanning temporal focusing microscopy. BIOMEDICAL OPTICS EXPRESS 2018; 9:5654-5666. [PMID: 30460153 PMCID: PMC6238912 DOI: 10.1364/boe.9.005654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Revised: 09/26/2018] [Accepted: 10/01/2018] [Indexed: 05/02/2023]
Abstract
Line-scanning temporal focusing microscopy (LineTFM) is capable of imaging biological samples more than 10 times faster than two-photon laser point-scanning microscopy (TPLSM), while achieving nearly the same lateral and axial spatial resolution. However, the image contrast taken by LineTFM is lower than that by TPLSM because LineTFM is severely influenced by biological tissue scattering. To reject the scattered photons, we implemented LineTFM using both structured illumination and uniform illumination combined with the HiLo post-processing algorithm, called HiLL microscopy (HiLo-Line-scanning temporal focusing microscopy). HiLL microscopy significantly reduces tissue scattering and improves image contrast. We demonstrate HiLL microscopy with in vivo brain imaging. This approach could potentially find applications in monitoring fast dynamic events and in mapping high resolution structures over a large volume.
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Affiliation(s)
- Yi Xue
- Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139,
USA
- Laser Biomedical Research Center, 77 Massachusetts Ave., Cambridge, MA 02139,
USA
| | - Kalen P. Berry
- Department of Biology, 77 Massachusetts Ave., Cambridge MA 02139,
USA
| | - Josiah R. Boivin
- Picower Institute for Learning and Memory,77 Massachusetts Ave., Cambridge, MA 02139,
USA
| | - Dushan Wadduwage
- Laser Biomedical Research Center, 77 Massachusetts Ave., Cambridge, MA 02139,
USA
- Department of Biological Engineering, 77 Massachusetts Ave., Cambridge, MA 02139,
USA
| | - Elly Nedivi
- Department of Biology, 77 Massachusetts Ave., Cambridge MA 02139,
USA
- Picower Institute for Learning and Memory,77 Massachusetts Ave., Cambridge, MA 02139,
USA
- Department of Brain and Cognitive Sciences, 77 Massachusetts Ave., Cambridge, MA 02139,
USA
| | - Peter T. C. So
- Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139,
USA
- Laser Biomedical Research Center, 77 Massachusetts Ave., Cambridge, MA 02139,
USA
- Department of Biological Engineering, 77 Massachusetts Ave., Cambridge, MA 02139,
USA
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18
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Martin C, Li T, Hegarty E, Zhao P, Mondal S, Ben-Yakar A. Line excitation array detection fluorescence microscopy at 0.8 million frames per second. Nat Commun 2018; 9:4499. [PMID: 30374138 PMCID: PMC6206139 DOI: 10.1038/s41467-018-06775-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Accepted: 09/07/2018] [Indexed: 12/20/2022] Open
Abstract
Three-dimensional, fluorescence imaging methods with ~1 MHz frame rates are needed for high-speed, blur-free flow cytometry and capturing volumetric neuronal activity. The frame rates of current imaging methods are limited to kHz by the photon budget, slow camera readout, and/or slow laser beam scanners. Here, we present line excitation array detection (LEAD) fluorescence microscopy, a high-speed imaging method capable of providing 0.8 million frames per second. The method performs 0.8 MHz line-scanning of an excitation laser beam using a chirped signal-driven longitudinal acousto-optic deflector to create a virtual light-sheet, and images the field-of-view with a linear photomultiplier tube array to generate a 66 × 14 pixel frame each scan cycle. We implement LEAD microscopy as a blur-free flow cytometer for Caenorhabditis elegans moving at 1 m s-1 with 3.5-µm resolution and signal-to-background ratios >200. Signal-to-noise measurements indicate future LEAD fluorescence microscopes can reach higher resolutions and pixels per frame without compromising frame rates.
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Affiliation(s)
- Chris Martin
- Department of Biomedical Engineering, The University of Texas at Austin, 107 W Dean Keeton St., Austin, TX, 78712, USA
| | - Tianqi Li
- Department of Mechanical Engineering, The University of Texas at Austin, 204 E Dean Keeton St., Austin, TX, 78712, USA
| | - Evan Hegarty
- Department of Mechanical Engineering, The University of Texas at Austin, 204 E Dean Keeton St., Austin, TX, 78712, USA
| | - Peisen Zhao
- Department of Electrical and Computer Engineering, The University of Texas at Austin, 2501 Speedway, Austin, TX, 78712, USA
| | - Sudip Mondal
- Department of Mechanical Engineering, The University of Texas at Austin, 204 E Dean Keeton St., Austin, TX, 78712, USA
| | - Adela Ben-Yakar
- Department of Biomedical Engineering, The University of Texas at Austin, 107 W Dean Keeton St., Austin, TX, 78712, USA.
- Department of Mechanical Engineering, The University of Texas at Austin, 204 E Dean Keeton St., Austin, TX, 78712, USA.
- Department of Electrical and Computer Engineering, The University of Texas at Austin, 2501 Speedway, Austin, TX, 78712, USA.
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19
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Fiber-bundle illumination: realizing high-degree time-multiplexed multifocal multiphoton microscopy with simplicity. Sci Rep 2018; 8:14863. [PMID: 30291275 PMCID: PMC6173774 DOI: 10.1038/s41598-018-33286-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2014] [Accepted: 09/24/2018] [Indexed: 11/09/2022] Open
Abstract
High-degree time-multiplexed multifocal multiphoton microscopy was expected to provide a facile path to scanningless optical-sectioning and the fast imaging of dynamic three-dimensional biological systems. However, physical constraints on typical time multiplexing devices, arising from diffraction in the free-space propagation of light waves, lead to significant manufacturing difficulties and have prevented the experimental realization of high-degree time multiplexing. To resolve this issue, we have developed a novel method using optical fiber bundles of various lengths to confine the diffraction of propagating light waves and to create a time multiplexing effect. Through this method, we experimentally demonstrate the highest degree of time multiplexing ever achieved in multifocal multiphoton microscopy (~50 times larger than conventional approaches), and hence the potential of using simply-manufactured devices for scanningless optical sectioning of biological systems.
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20
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Automated fluorescence intensity and gradient analysis enables detection of rare fluorescent mutant cells deep within the tissue of RaDR mice. Sci Rep 2018; 8:12108. [PMID: 30108260 PMCID: PMC6092416 DOI: 10.1038/s41598-018-30557-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Accepted: 08/01/2018] [Indexed: 11/08/2022] Open
Abstract
Homologous recombination (HR) events are key drivers of cancer-promoting mutations, and the ability to visualize these events in situ provides important information regarding mutant cell type, location, and clonal expansion. We have previously created the Rosa26 Direct Repeat (RaDR) mouse model wherein HR at an integrated substrate gives rise to a fluorescent cell. To fully leverage this in situ approach, we need better ways to quantify rare fluorescent cells deep within tissues. Here, we present a robust, automated event quantification algorithm that uses image intensity and gradient features to detect fluorescent cells in deep tissue specimens. To analyze the performance of our algorithm, we simulate fluorescence behavior in tissue using Monte Carlo methods. Importantly, this approach reduces the potential for bias in manual counting and enables quantification of samples with highly dense HR events. Using this approach, we measured the relative frequency of HR within a chromosome and between chromosomes and found that HR within a chromosome is more frequent, which is consistent with the close proximity of sister chromatids. Our approach is both objective and highly rapid, providing a powerful tool, not only to researchers interested in HR, but also to many other researchers who are similarly using fluorescence as a marker for understanding mammalian biology in tissues.
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21
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Quicke P, Reynolds S, Neil M, Knöpfel T, Schultz SR, Foust AJ. High speed functional imaging with source localized multifocal two-photon microscopy. BIOMEDICAL OPTICS EXPRESS 2018; 9:3678-3693. [PMID: 30338147 PMCID: PMC6191622 DOI: 10.1364/boe.9.003678] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Revised: 05/04/2018] [Accepted: 06/04/2018] [Indexed: 05/11/2023]
Abstract
Multifocal two-photon microscopy (MTPM) increases imaging speed over single-focus scanning by parallelizing fluorescence excitation. The imaged fluorescence's susceptibility to crosstalk, however, severely degrades contrast in scattering tissue. Here we present a source-localized MTPM scheme optimized for high speed functional fluorescence imaging in scattering mammalian brain tissue. A rastered line array of beamlets excites fluorescence imaged with a complementary metal-oxide-semiconductor (CMOS) camera. We mitigate scattering-induced crosstalk by temporally oversampling the rastered image, generating grouped images with structured illumination, and applying Richardson-Lucy deconvolution to reassign scattered photons. Single images are then retrieved with a maximum intensity projection through the deconvolved image groups. This method increased image contrast at depths up to 112 μm in scattering brain tissue and reduced functional crosstalk between pixels during neuronal calcium imaging. Source-localization did not affect signal-to-noise ratio (SNR) in densely labeled tissue under our experimental conditions. SNR decreased at low frame rates in sparsely labeled tissue, with no effect at frame rates above 50 Hz. Our non-descanned source-localized MTPM system enables high SNR, 100 Hz capture of fluorescence transients in scattering brain, increasing the scope of MTPM to faster and smaller functional signals.
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Affiliation(s)
- Peter Quicke
- Department of Bioengineering, Imperial College London, SW7 2AZ,
UK
- Centre for Neurotechnology, Imperial College London, SW7 2AZ,
UK
| | - Stephanie Reynolds
- Department of Electrical and Electronic Engineering, Imperial College London, SW7 2AZ,
UK
| | - Mark Neil
- Centre for Neurotechnology, Imperial College London, SW7 2AZ,
UK
- Department of Physics, Imperial College London, SW7 2AZ,
UK
| | - Thomas Knöpfel
- Centre for Neurotechnology, Imperial College London, SW7 2AZ,
UK
- Department of Medicine, Imperial College London, SW7 2AZ,
UK
| | - Simon R. Schultz
- Department of Bioengineering, Imperial College London, SW7 2AZ,
UK
- Centre for Neurotechnology, Imperial College London, SW7 2AZ,
UK
| | - Amanda J. Foust
- Department of Bioengineering, Imperial College London, SW7 2AZ,
UK
- Centre for Neurotechnology, Imperial College London, SW7 2AZ,
UK
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22
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Meng Y, Lin W, Li C, Chen SC. Fast two-snapshot structured illumination for temporal focusing microscopy with enhanced axial resolution. OPTICS EXPRESS 2017; 25:23109-23121. [PMID: 29041614 DOI: 10.1364/oe.25.023109] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Accepted: 09/08/2017] [Indexed: 06/07/2023]
Abstract
We present a new two-snapshot structured light illumination (SLI) reconstruction algorithm for fast image acquisition. The new algorithm, which only requires two mutually π phase-shifted raw structured images, is implemented on a custom-built temporal focusing fluorescence microscope (TFFM) to enhance its axial resolution via a digital micromirror device (DMD). First, the orientation of the modulated sinusoidal fringe patterns is automatically identified via spatial frequency vector detection. Subsequently, the modulated in-focal-plane images are obtained via rotation and subtraction. Lastly, a parallel amplitude demodulation method, derived based on Hilbert transform, is applied to complete the decoding processes. To demonstrate the new SLI algorithm, a TFFM is custom-constructed, where a DMD replaces the generic blazed grating in the system and simultaneously functions as a diffraction grating and a programmable binary mask, generating arbitrary fringe patterns. The experimental results show promising depth-discrimination capability with an axial resolution enhancement factor of 1.25, which matches well with the theoretical estimation, i.e, 1.27. Imaging experiments on pollen grain and mouse kidney samples have been performed. The results indicate that the two-snapshot algorithm presents comparable contrast reconstruction and optical cross-sectioning capability than those adopting the conventional root-mean-square (RMS) reconstruction method. The two-snapshot method can be readily applied to any sinusoidally modulated illumination systems to realize high-speed 3D imaging as less frames are required for each in-focal-plane image restoration, i.e., the image acquisition speed is improved by 2.5 times for any two-photon systems.
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23
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Ji N, Freeman J, Smith SL. Technologies for imaging neural activity in large volumes. Nat Neurosci 2017; 19:1154-64. [PMID: 27571194 DOI: 10.1038/nn.4358] [Citation(s) in RCA: 149] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2016] [Accepted: 07/14/2016] [Indexed: 02/08/2023]
Abstract
Neural circuitry has evolved to form distributed networks that act dynamically across large volumes. Conventional microscopy collects data from individual planes and cannot sample circuitry across large volumes at the temporal resolution relevant to neural circuit function and behaviors. Here we review emerging technologies for rapid volume imaging of neural circuitry. We focus on two critical challenges: the inertia of optical systems, which limits image speed, and aberrations, which restrict the image volume. Optical sampling time must be long enough to ensure high-fidelity measurements, but optimized sampling strategies and point-spread function engineering can facilitate rapid volume imaging of neural activity within this constraint. We also discuss new computational strategies for processing and analyzing volume imaging data of increasing size and complexity. Together, optical and computational advances are providing a broader view of neural circuit dynamics and helping elucidate how brain regions work in concert to support behavior.
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Affiliation(s)
- Na Ji
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, USA
| | - Jeremy Freeman
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, USA
| | - Spencer L Smith
- Department of Cell Biology and Physiology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.,Neuroscience Center, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.,Carolina Institute for Developmental Disabilities, University of North Carolina School of Medicine, Chapel Hill, North Carolina
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24
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Nöbauer T, Skocek O, Pernía-Andrade AJ, Weilguny L, Traub FM, Molodtsov MI, Vaziri A. Video rate volumetric Ca2+ imaging across cortex using seeded iterative demixing (SID) microscopy. Nat Methods 2017. [DOI: 10.1038/nmeth.4341] [Citation(s) in RCA: 102] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
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25
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Yang W, Yuste R. In vivo imaging of neural activity. Nat Methods 2017; 14:349-359. [PMID: 28362436 DOI: 10.1038/nmeth.4230] [Citation(s) in RCA: 237] [Impact Index Per Article: 33.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Accepted: 02/13/2017] [Indexed: 12/18/2022]
Abstract
Since the introduction of calcium imaging to monitor neuronal activity with single-cell resolution, optical imaging methods have revolutionized neuroscience by enabling systematic recordings of neuronal circuits in living animals. The plethora of methods for functional neural imaging can be daunting to the nonexpert to navigate. Here we review advanced microscopy techniques for in vivo functional imaging and offer guidelines for which technologies are best suited for particular applications.
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Affiliation(s)
- Weijian Yang
- Department of Biological Sciences, Neurotechnology Center, Columbia University, New York, New York, USA
| | - Rafael Yuste
- Department of Biological Sciences, Neurotechnology Center, Columbia University, New York, New York, USA
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26
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Matsumoto N, Konno A, Ohbayashi Y, Inoue T, Matsumoto A, Uchimura K, Kadomatsu K, Okazaki S. Correction of spherical aberration in multi-focal multiphoton microscopy with spatial light modulator. OPTICS EXPRESS 2017; 25:7055-7068. [PMID: 28381046 DOI: 10.1364/oe.25.007055] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
We demonstrate that high-quality images of the deep regions of a thick sample can be obtained from its surface by multi-focal multiphoton microscopy (MMM). The MMM system incorporates a spatial light modulator to separate the excitation beam into a multi-focal excitation beam and modulate the pre-distortion wavefront to correct spherical aberration (SA) caused by a refractive index mismatch between the immersion medium and the biological sample. When fluorescent beads in transparent epoxy resin were observed using four SA-corrected focal beams, the fluorescence signal of the obtained images was ~52 times higher than that obtained without SA correction until a depth of ~1100 μm, similar to the result for single-focal multiphoton microscopy (SMM). The MMM scanning time was four times less than that for SMM, and MMM showed an improved fluorescence intensity and depth resolution for an image of blood vessels in the brain of a mouse stained with a fluorescent dye.
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27
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Carrillo-Reid L, Yang W, Kang Miller JE, Peterka DS, Yuste R. Imaging and Optically Manipulating Neuronal Ensembles. Annu Rev Biophys 2017; 46:271-293. [PMID: 28301770 DOI: 10.1146/annurev-biophys-070816-033647] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The neural code that relates the firing of neurons to the generation of behavior and mental states must be implemented by spatiotemporal patterns of activity across neuronal populations. These patterns engage selective groups of neurons, called neuronal ensembles, which are emergent building blocks of neural circuits. We review optical and computational methods, based on two-photon calcium imaging and two-photon optogenetics, to detect, characterize, and manipulate neuronal ensembles in three dimensions. We review data using these methods in the mammalian cortex that demonstrate the existence of neuronal ensembles in the spontaneous and evoked cortical activity in vitro and in vivo. Moreover, two-photon optogenetics enable the possibility of artificially imprinting neuronal ensembles into awake, behaving animals and of later recalling those ensembles selectively by stimulating individual cells. These methods could enable deciphering the neural code and also be used to understand the pathophysiology of and design novel therapies for neurological and mental diseases.
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Affiliation(s)
- Luis Carrillo-Reid
- NeuroTechnology Center, Columbia University, New York, NY 10027.,Department of Biological Sciences, Columbia University, New York, NY 10027
| | - Weijian Yang
- NeuroTechnology Center, Columbia University, New York, NY 10027.,Department of Biological Sciences, Columbia University, New York, NY 10027
| | - Jae-Eun Kang Miller
- NeuroTechnology Center, Columbia University, New York, NY 10027.,Department of Biological Sciences, Columbia University, New York, NY 10027
| | - Darcy S Peterka
- NeuroTechnology Center, Columbia University, New York, NY 10027.,Department of Biological Sciences, Columbia University, New York, NY 10027
| | - Rafael Yuste
- NeuroTechnology Center, Columbia University, New York, NY 10027.,Department of Biological Sciences, Columbia University, New York, NY 10027.,Department of Neuroscience, Columbia University, New York, NY 10027;
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28
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Schultz SR, Copeland CS, Foust AJ, Quicke P, Schuck R. Advances in two photon scanning and scanless microscopy technologies for functional neural circuit imaging. PROCEEDINGS OF THE IEEE. INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS 2017; 105:139-157. [PMID: 28757657 PMCID: PMC5526632 DOI: 10.1109/jproc.2016.2577380] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Recent years have seen substantial developments in technology for imaging neural circuits, raising the prospect of large scale imaging studies of neural populations involved in information processing, with the potential to lead to step changes in our understanding of brain function and dysfunction. In this article we will review some key recent advances: improved fluorophores for single cell resolution functional neuroimaging using a two photon microscope; improved approaches to the problem of scanning active circuits; and the prospect of scanless microscopes which overcome some of the bandwidth limitations of current imaging techniques. These advances in technology for experimental neuroscience have in themselves led to technical challenges, such as the need for the development of novel signal processing and data analysis tools in order to make the most of the new experimental tools. We review recent work in some active topics, such as region of interest segmentation algorithms capable of demixing overlapping signals, and new highly accurate algorithms for calcium transient detection. These advances motivate the development of new data analysis tools capable of dealing with spatial or spatiotemporal patterns of neural activity, that scale well with pattern size.
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Affiliation(s)
- Simon R Schultz
- Center for Neurotechnology and Department of Bioengineering Imperial College London, South Kensington, LondonSW7 2AZ, UK
| | - Caroline S Copeland
- Center for Neurotechnology and Department of Bioengineering Imperial College London, South Kensington, LondonSW7 2AZ, UK
| | - Amanda J Foust
- Center for Neurotechnology and Department of Bioengineering Imperial College London, South Kensington, LondonSW7 2AZ, UK
| | - Peter Quicke
- Center for Neurotechnology and Department of Bioengineering Imperial College London, South Kensington, LondonSW7 2AZ, UK
| | - Renaud Schuck
- Center for Neurotechnology and Department of Bioengineering Imperial College London, South Kensington, LondonSW7 2AZ, UK
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29
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Prevedel R, Verhoef AJ, Pernía-Andrade AJ, Weisenburger S, Huang BS, Nöbauer T, Fernández A, Delcour JE, Golshani P, Baltuska A, Vaziri A. Fast volumetric calcium imaging across multiple cortical layers using sculpted light. Nat Methods 2016; 13:1021-1028. [PMID: 27798612 DOI: 10.1038/nmeth.4040] [Citation(s) in RCA: 91] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2016] [Accepted: 09/29/2016] [Indexed: 01/17/2023]
Abstract
Although whole-organism calcium imaging in small and semi-transparent animals has been demonstrated, capturing the functional dynamics of large-scale neuronal circuits in awake behaving mammals at high speed and resolution has remained one of the main frontiers in systems neuroscience. Here we present a method based on light sculpting that enables unbiased single- and dual-plane high-speed (up to 160 Hz) calcium imaging as well as in vivo volumetric calcium imaging of a mouse cortical column (0.5 mm × 0.5 mm × 0.5 mm) at single-cell resolution and fast volume rates (3-6 Hz). We achieved this by tailoring the point-spread function of our microscope to the structures of interest while maximizing the signal-to-noise ratio using a home-built fiber laser amplifier with pulses that are synchronized to the imaging voxel speed. This enabled in vivo recording of calcium dynamics of several thousand neurons across cortical layers and in the hippocampus of awake behaving mice.
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Affiliation(s)
- Robert Prevedel
- Research Institute of Molecular Pathology, Vienna, Austria.,Max F. Perutz Laboratories Support GmbH, University of Vienna, Vienna, Austria.,Research Platform Quantum Phenomena &Nanoscale Biological Systems (QuNaBioS), University of Vienna, Vienna, Austria.,European Molecular Biology Laboratory, Heidelberg, Germany
| | - Aart J Verhoef
- Photonics Institute, TU Wien, Vienna, Austria.,Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | | | - Siegfried Weisenburger
- Research Institute of Molecular Pathology, Vienna, Austria.,The Rockefeller University, New York, New York, USA
| | - Ben S Huang
- Department of Neurology and Psychiatry, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
| | - Tobias Nöbauer
- Research Institute of Molecular Pathology, Vienna, Austria.,The Rockefeller University, New York, New York, USA
| | - Alma Fernández
- Photonics Institute, TU Wien, Vienna, Austria.,Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | | | - Peyman Golshani
- Department of Neurology and Psychiatry, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA.,West Los Angeles Virginia Medical Center, Los Angeles, California, USA
| | | | - Alipasha Vaziri
- Research Institute of Molecular Pathology, Vienna, Austria.,Max F. Perutz Laboratories Support GmbH, University of Vienna, Vienna, Austria.,Research Platform Quantum Phenomena &Nanoscale Biological Systems (QuNaBioS), University of Vienna, Vienna, Austria.,The Rockefeller University, New York, New York, USA
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30
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Zhang Y, Khan AA, Vigil GD, Howard SS. Super-sensitivity multiphoton frequency-domain fluorescence lifetime imaging microscopy. OPTICS EXPRESS 2016; 24:20862-7. [PMID: 27607690 DOI: 10.1364/oe.24.020862] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
We present a series of experiments that demonstrate a super-sensitive chemical imaging technique based on multiphoton frequency-domain fluorescence lifetime imaging microscopy (MPM-FD-FLIM) that shows a 2× improvement in imaging speed compared to the theoretical limit of conventional MPM-FD-FLIM. Additionally, this technique produces unprecedented sensitivity over a large range of fluorescence lifetimes. These results are achieved through simple modifications to data analysis in a conventional MPM-FD-FLIM microscope and are based on an analytical model describing the signal-to-noise ratio (SNR) of a MPM-FD-FLIM system [J. Opt. Soc. Am. A33, B1 (2016)]. Here we experimentally validate this model.
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31
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In vivo 3D measurement of moxifloxacin and gatifloxacin distributions in the mouse cornea using multiphoton microscopy. Sci Rep 2016; 6:25339. [PMID: 27138688 PMCID: PMC4853790 DOI: 10.1038/srep25339] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Accepted: 04/13/2016] [Indexed: 11/08/2022] Open
Abstract
Moxifloxacin and gatifloxacin are fourth-generation fluoroquinolone antibiotics used in the clinic to prevent or treat ocular infections. Their pharmacokinetics in the cornea is usually measured from extracted ocular fluids or tissues, and in vivo direct measurement is difficult. In this study multiphoton microscopy (MPM), which is a 3D optical microscopic technique based on multiphoton fluorescence, was applied to the measurement of moxifloxacin and gatifloxacin distribution in the cornea. Intrinsic multiphoton fluorescence properties of moxifloxacin and gatifloxacin were characterized, and their distributions in mouse cornea in vivo were measured by 3D MPM imaging. Both moxifloxacin and gatifloxacin had similar multiphoton spectra, while moxifloxacin had stronger fluorescence than gatifloxacin. MPM imaging of mouse cornea in vivo showed (1) moxifloxacin had good penetration through the superficial corneal epithelium, while gatifloxacin had relatively poor penetration, (2) both ophthalmic solutions had high intracellular distribution. In vivo MPM results were consistent with previous studies. This study demonstrates the feasibility of MPM as a method for in vivo direct measurement of moxifloxacin and gatifloxacin in the cornea.
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32
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Amato SP, Pan F, Schwartz J, Ragan TM. Whole Brain Imaging with Serial Two-Photon Tomography. Front Neuroanat 2016; 10:31. [PMID: 27047350 PMCID: PMC4802409 DOI: 10.3389/fnana.2016.00031] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2015] [Accepted: 03/07/2016] [Indexed: 12/12/2022] Open
Abstract
Imaging entire mouse brains at submicron resolution has historically been a challenging undertaking and largely confined to the province of dedicated atlasing initiatives. This has limited systematic investigations into important areas of neuroscience, such as neural circuits, brain mapping and neurodegeneration. In this article, we describe in detail Serial Two-Photon (STP) tomography, a robust, reliable method for imaging entire brains with histological detail. We provide examples of how the basic methodology can be extended to other imaging modalities, such as Optical Coherence Tomography (OCT), in order to provide unique contrast mechanisms. Furthermore, we provide a survey of the research that STP tomography has enabled in the field of neuroscience, provide examples of how this technology enables quantitative whole brain studies, and discuss the current limitations of STP tomography-based approaches.
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33
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Simultaneous Multi-plane Imaging of Neural Circuits. Neuron 2016; 89:269-84. [PMID: 26774159 DOI: 10.1016/j.neuron.2015.12.012] [Citation(s) in RCA: 140] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2015] [Revised: 07/28/2015] [Accepted: 12/07/2015] [Indexed: 12/11/2022]
Abstract
Recording the activity of large populations of neurons is an important step toward understanding the emergent function of neural circuits. Here we present a simple holographic method to simultaneously perform two-photon calcium imaging of neuronal populations across multiple areas and layers of mouse cortex in vivo. We use prior knowledge of neuronal locations, activity sparsity, and a constrained nonnegative matrix factorization algorithm to extract signals from neurons imaged simultaneously and located in different focal planes or fields of view. Our laser multiplexing approach is simple and fast, and could be used as a general method to image the activity of neural circuits in three dimensions across multiple areas in the brain.
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34
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Tsikouras A, Berman R, Andrews DW, Fang Q. High-speed multifocal array scanning using refractive window tilting. BIOMEDICAL OPTICS EXPRESS 2015; 6:3737-47. [PMID: 26504625 PMCID: PMC4605034 DOI: 10.1364/boe.6.003737] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2015] [Revised: 08/20/2015] [Accepted: 08/22/2015] [Indexed: 05/10/2023]
Abstract
Confocal microscopy has several advantages over wide-field microscopy, such as out-of-focus light suppression, 3D sectioning, and compatibility with specialized detectors. While wide-field microscopy is a faster approach, multiplexed confocal schemes can be used to make confocal microscopy more suitable for high-throughput applications, such as high-content screening (HCS) commonly used in drug discovery. An increasingly powerful modality in HCS is fluorescence lifetime imaging microscopy (FLIM), which can be used to measure protein-protein interactions through Förster resonant energy transfer (FRET). FLIM-FRET for HCS combines the requirements of high throughput, high resolution and specialized time-resolving detectors, making it difficult to implement using wide-field and spinning disk confocal approaches. We developed a novel foci array scan method that can achieve uniform multiplex confocal acquisition using stationary lenslet arrays for high resolution and high throughput FLIM. Unlike traditional mirror galvanometers, which work in Fourier space between scan lenses, this scan method uses optical flats to steer a 2-dimension foci array through refraction. After integrating this scanning scheme in a multiplexing confocal FLIM system, we demonstrate it offers clear benefits over traditional mirror galvanometer scanners in scan linearity, uniformity, cost and complexity.
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Affiliation(s)
- Anthony Tsikouras
- Department of Engineering Physics, McMaster University, 1280 Main Street West, Hamilton, Ontario, L8S 4L7, Canada
| | - Richard Berman
- Spectral Applied Research, 2 East Beaver Creek Rd., Bldg. #2, Richmond Hill, Ontario, L4B 2N3, Canada
| | - David W. Andrews
- Department of Biochemistry, Sunnybrook Research Institute, University of Toronto, 2075 Bayview Ave., Toronto, Ontario, M4N 3M5, Canada
| | - Qiyin Fang
- Department of Engineering Physics, McMaster University, 1280 Main Street West, Hamilton, Ontario, L8S 4L7, Canada
- Department of Biomedical Engineering, McMaster University, 1280 Main Street West, Hamilton, Ontario, L8S 4L7, Canada
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35
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Cha JW, Yew EYS, Kim D, Subramanian J, Nedivi E, So PTC. Non-descanned multifocal multiphoton microscopy with a multianode photomultiplier tube. AIP ADVANCES 2015; 5:084802. [PMID: 25874160 PMCID: PMC4387602 DOI: 10.1063/1.4916040] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2014] [Accepted: 09/28/2014] [Indexed: 05/25/2023]
Abstract
Multifocal multiphoton microscopy (MMM) improves imaging speed over a point scanning approach by parallelizing the excitation process. Early versions of MMM relied on imaging detectors to record emission signals from multiple foci simultaneously. For many turbid biological specimens, the scattering of emission photons results in blurred images and degrades the signal-to-noise ratio (SNR). We have recently demonstrated that a multianode photomultiplier tube (MAPMT) placed in a descanned configuration can effectively collect scattered emission photons from each focus into their corresponding anodes significantly improving image SNR for highly scattering specimens. Unfortunately, a descanned MMM has a longer detection path resulting in substantial emission photon loss. Optical design constraints in a descanned geometry further results in significant optical aberrations especially for large field-of-view (FOV), high NA objectives. Here, we introduce a non-descanned MMM based on MAPMT that substantially overcomes most of these drawbacks. We show that we improve signal efficiency up to fourfold with limited image SNR degradation due to scattered emission photons. The excitation foci can also be spaced wider to cover the full FOV of the objective with minimal aberrations. The performance of this system is demonstrated by imaging interneuron morphological structures deep in the brains of living mice.
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Affiliation(s)
- Jae Won Cha
- Department of Mechanical Engineering, Massachusetts Institute of Technology , Cambridge, MA, USA
| | - Elijah Y S Yew
- Department of Mechanical Engineering, Massachusetts Institute of Technology , Cambridge, MA, USA
| | - Daekeun Kim
- Department of Mechanical Engineering, Dankook University , Korea
| | - Jaichandar Subramanian
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology , Cambridge, MA, USA
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36
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Song Q, Nakamura A, Hirosawa K, Isobe K, Midorikawa K, Kannari F. Two-dimensional spatiotemporal focusing of femtosecond pulses and its applications in microscopy. THE REVIEW OF SCIENTIFIC INSTRUMENTS 2015; 86:083701. [PMID: 26329197 DOI: 10.1063/1.4927532] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
We demonstrate and theoretically analyze the two-dimensional spatiotemporal focusing of femtosecond pulses by utilizing a two-dimensional spectral disperser. Compared with spatiotemporal focusing with a diffraction grating, it can achieve widefield illumination with better sectioning ability for a multiphoton excitation process. By utilizing paraxial approximation, our analytical method improves the axial confinement ability and identifies that the free spectra range (FSR) of the two-dimensional spectral disperser affects the out-of-focus multiphoton excitation intensity due to the temporal self-imaging effect. Based on our numerical simulation, a FSR of 50 GHz is necessary to reduce the out-of-focus two-photon excitation by 2 orders of magnitude compared with that in a grating-based spatiotemporal focusing scheme for a 90-fs excitation laser pulse. We build a two-dimensional spatiotemporal focusing microscope using a virtually imaged phased array and achieve an axial resolution of 1.3 μm, which outperforms the resolution of conventional spatiotemporal focusing using a grating by a factor of 1.7, and demonstrate better image contrast inside a tissue-like phantom.
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Affiliation(s)
- Qiyuan Song
- Department of Electronics and Electrical Engineering, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan
| | - Aoi Nakamura
- Department of Electronics and Electrical Engineering, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan
| | - Kenichi Hirosawa
- Department of Electronics and Electrical Engineering, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan
| | - Keisuke Isobe
- RIKEN Center for Advanced Photonics, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Katsumi Midorikawa
- RIKEN Center for Advanced Photonics, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Fumihiko Kannari
- Department of Electronics and Electrical Engineering, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan
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37
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Perillo EP, Liu YL, Huynh K, Liu C, Chou CK, Hung MC, Yeh HC, Dunn AK. Deep and high-resolution three-dimensional tracking of single particles using nonlinear and multiplexed illumination. Nat Commun 2015. [PMID: 26219252 PMCID: PMC4532916 DOI: 10.1038/ncomms8874] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
Molecular trafficking within cells, tissues and engineered three-dimensional multicellular models is critical to the understanding of the development and treatment of various diseases including cancer. However, current tracking methods are either confined to two dimensions or limited to an interrogation depth of ∼15 μm. Here we present a three-dimensional tracking method capable of quantifying rapid molecular transport dynamics in highly scattering environments at depths up to 200 μm. The system has a response time of 1 ms with a temporal resolution down to 50 μs in high signal-to-noise conditions, and a spatial localization precision as good as 35 nm. Built on spatiotemporally multiplexed two-photon excitation, this approach requires only one detector for three-dimensional particle tracking and allows for two-photon, multicolour imaging. Here we demonstrate three-dimensional tracking of epidermal growth factor receptor complexes at a depth of ∼100 μm in tumour spheroids. Existing single-particle tracking techniques are limited in terms of penetration depth, tracking range or temporal resolution. Here, Perillo et al. demonstrate three-dimensional particle tracking up to 200-μm depth, with 35-nm spatial localization and 50-μs resolution using multiplexed two-photon excitation.
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Affiliation(s)
- Evan P Perillo
- Department of Biomedical Engineering, The University of Texas at Austin, 107 W Dean Keeton Street, C0800, Austin, Texas 78712, USA
| | - Yen-Liang Liu
- Department of Biomedical Engineering, The University of Texas at Austin, 107 W Dean Keeton Street, C0800, Austin, Texas 78712, USA
| | - Khang Huynh
- Department of Biomedical Engineering, The University of Texas at Austin, 107 W Dean Keeton Street, C0800, Austin, Texas 78712, USA
| | - Cong Liu
- Department of Biomedical Engineering, The University of Texas at Austin, 107 W Dean Keeton Street, C0800, Austin, Texas 78712, USA
| | - Chao-Kai Chou
- 1] Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holocombe, Boulevard, Unit 108, Houston, Texas 77030-4009, USA [2] Center for Molecular Medicine and Graduate Institute of Cancer Biology, China Medical University, No. 91 Hsueh-Shih Road, Taichung 40402, Taiwan
| | - Mien-Chie Hung
- 1] Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holocombe, Boulevard, Unit 108, Houston, Texas 77030-4009, USA [2] Center for Molecular Medicine and Graduate Institute of Cancer Biology, China Medical University, No. 91 Hsueh-Shih Road, Taichung 40402, Taiwan
| | - Hsin-Chih Yeh
- Department of Biomedical Engineering, The University of Texas at Austin, 107 W Dean Keeton Street, C0800, Austin, Texas 78712, USA
| | - Andrew K Dunn
- Department of Biomedical Engineering, The University of Texas at Austin, 107 W Dean Keeton Street, C0800, Austin, Texas 78712, USA
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38
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Young MD, Field JJ, Sheetz KE, Bartels RA, Squier J. A pragmatic guide to multiphoton microscope design. ADVANCES IN OPTICS AND PHOTONICS 2015; 7:276-378. [PMID: 27182429 PMCID: PMC4863715 DOI: 10.1364/aop.7.000276] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
Multiphoton microscopy has emerged as a ubiquitous tool for studying microscopic structure and function across a broad range of disciplines. As such, the intent of this paper is to present a comprehensive resource for the construction and performance evaluation of a multiphoton microscope that will be understandable to the broad range of scientific fields that presently exploit, or wish to begin exploiting, this powerful technology. With this in mind, we have developed a guide to aid in the design of a multiphoton microscope. We discuss source selection, optical management of dispersion, image-relay systems with scan optics, objective-lens selection, single-element light-collection theory, photon-counting detection, image rendering, and finally, an illustrated guide for building an example microscope.
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Affiliation(s)
- Michael D. Young
- Center for Microintegrated Optics for Advanced Biological Control, Department of Physics, Colorado School of Mines, 1500 Illinois Street, Golden, Colorado 80401, USA
| | - Jeffrey J. Field
- W. M. Keck Laboratory for Raman Imaging of Cell-to-Cell Communications, Colorado State University, Fort Collins, Colorado 80523, USA
- Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, Colorado 80523, USA
| | - Kraig E. Sheetz
- Photonics Research Center, Department of Physics and Nuclear Engineering, United States Military Academy, West Point, New York 10996, USA
| | - Randy A. Bartels
- W. M. Keck Laboratory for Raman Imaging of Cell-to-Cell Communications, Colorado State University, Fort Collins, Colorado 80523, USA
- Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, Colorado 80523, USA
- School of Biomedical Engineering, Colorado State University, Fort Collins, Colorado 80523, USA
| | - Jeff Squier
- Center for Microintegrated Optics for Advanced Biological Control, Department of Physics, Colorado School of Mines, 1500 Illinois Street, Golden, Colorado 80401, USA
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Borile G, de Mauro C, Urbani A, Alfieri D, Pavone FS, Mongillo M. Multispot multiphoton Ca²⁺ imaging in acute myocardial slices. JOURNAL OF BIOMEDICAL OPTICS 2015; 20:51016. [PMID: 25517401 DOI: 10.1117/1.jbo.20.5.051016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2014] [Accepted: 11/10/2014] [Indexed: 06/04/2023]
Abstract
Multiphoton microscopy has become essential for dynamic imaging in thick living tissues. High-rate, full-field image acquisition in multiphoton microscopy is achievable by parallelization of the excitation and detection pathways. We developed our approach via a diffractive optical element which splits a pulsed laser into 16 beamlets and exploits a descanned detection system consisting of an array of beamlet-associated photomultiplier tubes. The optical performance of the multiphoton multispot system (MCube) has been characterized in cardiac tissue sections and subsequently used for the first time for fluorescence imaging of cardiomyocyte Ca²⁺ dynamics in viable acute cardiac slices. Multispot multiphoton microscopy (MMM) has never been used before to monitor Ca²⁺ dynamics in thick, viable tissue samples. Acute heart slices are a powerful close-to-in vivo model of Ca²⁺ imaging allowing the simultaneous observation of several cells in their own tissue environment, exploiting the multiphoton excitation ability to penetrate scattering tissues. Moreover, we show that the concurrent high spatial and temporal resolutions afforded by the parallel scanning in MMM can be exploited to simultaneously assess subcellular Ca²⁺ dynamics in different cells in the tissue. We recorded local Ca²⁺ release events including macrosparks, travelling waves, and rotors.
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Affiliation(s)
- Giulia Borile
- University of Padova, Department of Biomedical Science, Viale Colombo 3, Padova 35129, ItalybVenetian Institute of Molecular Medicine, Via Orus 2, Padova 35129, Italy
| | - Claudio de Mauro
- Light4Tech Firenze s.r.l., Via Pisana 316, Scandicci 50018, Italy
| | - Andrea Urbani
- University of Padova, Department of Biomedical Science, Viale Colombo 3, Padova 35129, ItalybVenetian Institute of Molecular Medicine, Via Orus 2, Padova 35129, Italy
| | - Domenico Alfieri
- Light4Tech Firenze s.r.l., Via Pisana 316, Scandicci 50018, Italy
| | - Francesco S Pavone
- University of Florence, Department of Physics, Via G. Sansone 1, Sesto F.no 50019, Italy
| | - Marco Mongillo
- University of Padova, Department of Biomedical Science, Viale Colombo 3, Padova 35129, ItalybVenetian Institute of Molecular Medicine, Via Orus 2, Padova 35129, Italy
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Li H, Cui Q, Zhang Z, Fu L, Luo Q. Nonlinear optical microscopy for immunoimaging: a custom optimized system of high-speed, large-area, multicolor imaging. Quant Imaging Med Surg 2015; 5:30-9. [PMID: 25694951 DOI: 10.3978/j.issn.2223-4292.2014.11.07] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2014] [Accepted: 10/31/2014] [Indexed: 01/09/2023]
Abstract
BACKGROUND The nonlinear optical microscopy has become the current state-of-the-art for intravital imaging. Due to its advantages of high resolution, superior tissue penetration, lower photodamage and photobleaching, as well as intrinsic z-sectioning ability, this technology has been widely applied in immunoimaging for a decade. However, in terms of monitoring immune events in native physiological environment, the conventional nonlinear optical microscope system has to be optimized for live animal imaging. Generally speaking, three crucial capabilities are desired, including high-speed, large-area and multicolor imaging. Among numerous high-speed scanning mechanisms used in nonlinear optical imaging, polygon scanning is not only linearly but also dispersion-freely with high stability and tunable rotation speed, which can overcome disadvantages of multifocal scanning, resonant scanner and acousto-optical deflector (AOD). However, low frame rate, lacking large-area or multicolor imaging ability make current polygonbased nonlinear optical microscopes unable to meet the requirements of immune event monitoring. METHODS We built up a polygon-based nonlinear optical microscope system which was custom optimized for immunoimaging with high-speed, large-are and multicolor imaging abilities. RESULTS Firstly, we validated the imaging performance of the system by standard methods. Then, to demonstrate the ability to monitor immune events, migration of immunocytes observed by the system based on typical immunological models such as lymph node, footpad and dorsal skinfold chamber are shown. Finally, we take an outlook for the possible advance of related technologies such as sample stabilization and optical clearing for more stable and deeper intravital immunoimaging. CONCLUSIONS This study will be helpful for optimizing nonlinear optical microscope to obtain more comprehensive and accurate information of immune events.
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Affiliation(s)
- Hui Li
- 1 Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Britton Chance Center for Biomedical Photonics, Wuhan 430074, China ; 2 MoE Key Laboratory for Biomedical Photonics, Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Quan Cui
- 1 Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Britton Chance Center for Biomedical Photonics, Wuhan 430074, China ; 2 MoE Key Laboratory for Biomedical Photonics, Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Zhihong Zhang
- 1 Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Britton Chance Center for Biomedical Photonics, Wuhan 430074, China ; 2 MoE Key Laboratory for Biomedical Photonics, Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Ling Fu
- 1 Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Britton Chance Center for Biomedical Photonics, Wuhan 430074, China ; 2 MoE Key Laboratory for Biomedical Photonics, Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Qingming Luo
- 1 Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Britton Chance Center for Biomedical Photonics, Wuhan 430074, China ; 2 MoE Key Laboratory for Biomedical Photonics, Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
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Cha JW, Tzeranis D, Subramanian J, Yannas IV, Nedivi E, So PTC. Spectral-resolved multifocal multiphoton microscopy with multianode photomultiplier tubes. OPTICS EXPRESS 2014; 22:21368-21381. [PMID: 25321515 PMCID: PMC4247179 DOI: 10.1364/oe.22.021368] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2014] [Revised: 08/17/2014] [Accepted: 08/17/2014] [Indexed: 06/04/2023]
Abstract
Multiphoton excitation fluorescence microscopy is the preferred method for in vivo deep tissue imaging. Many biological applications demand both high imaging speed and the ability to resolve multiple fluorophores. One of the successful methods to improve imaging speed in a highly turbid specimen is multifocal multiphoton microscopy (MMM) based on use of multi-anode photomultiplier tubes (MAPMT). This approach improves imaging speed by using multiple foci for parallelized excitation without sacrificing signal to noise ratio (SNR) due to the scattering of emission photons. In this work, we demonstrate that the MAPMT based MMM can be extended with spectral resolved imaging capability. Instead of generating multiple excitation foci in a 2D grid pattern, a linear array of foci is generated. This leaves one axis of the 2D MAPMT available for spectral dispersion and detection. The spectral-resolved MMM can detect several emission signals simultaneously with high imaging speed optimized for high-throughput, high-contents applications. The new procedure is illustrated using imaging data from the kidney, peripheral nerve regeneration and dendritic morphological data from the brain.
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Affiliation(s)
- Jae Won Cha
- Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139,
USA
| | - Dimitrios Tzeranis
- Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139,
USA
| | - Jaichandar Subramanian
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139,
USA
| | - Ioannis V. Yannas
- Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139,
USA
- Department of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139,
USA
| | - Elly Nedivi
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139,
USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139,
USA
- Department of Biology, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139,
USA
| | - Peter T. C. So
- Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139,
USA
- Department of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139,
USA
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So PTC, Yew EYS, Rowlands C. High-throughput nonlinear optical microscopy. Biophys J 2014; 105:2641-54. [PMID: 24359736 DOI: 10.1016/j.bpj.2013.08.051] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2013] [Revised: 08/19/2013] [Accepted: 08/22/2013] [Indexed: 01/06/2023] Open
Abstract
High-resolution microscopy methods based on different nonlinear optical (NLO) contrast mechanisms are finding numerous applications in biology and medicine. While the basic implementations of these microscopy methods are relatively mature, an important direction of continuing technological innovation lies in improving the throughput of these systems. Throughput improvement is expected to be important for studying fast kinetic processes, for enabling clinical diagnosis and treatment, and for extending the field of image informatics. This review will provide an overview of the fundamental limitations on NLO microscopy throughput. We will further cover several important classes of high-throughput NLO microscope designs with discussions on their strengths and weaknesses and their key biomedical applications. Finally, this review will close with a perspective of potential future technological improvements in this field.
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Affiliation(s)
- Peter T C So
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts; Laser Biomedical Research Center, Massachusetts Institute of Technology, Cambridge, Massachusetts; BioSyM Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore.
| | - Elijah Y S Yew
- BioSyM Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
| | - Christopher Rowlands
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts; Laser Biomedical Research Center, Massachusetts Institute of Technology, Cambridge, Massachusetts
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Cha JW, Singh VR, Kim KH, Subramanian J, Peng Q, Yu H, Nedivi E, So PTC. Reassignment of scattered emission photons in multifocal multiphoton microscopy. Sci Rep 2014; 4:5153. [PMID: 24898470 PMCID: PMC4046171 DOI: 10.1038/srep05153] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2014] [Accepted: 05/14/2014] [Indexed: 01/02/2023] Open
Abstract
Multifocal multiphoton microscopy (MMM) achieves fast imaging by simultaneously scanning multiple foci across different regions of specimen. The use of imaging detectors in MMM, such as CCD or CMOS, results in degradation of image signal-to-noise-ratio (SNR) due to the scattering of emitted photons. SNR can be partly recovered using multianode photomultiplier tubes (MAPMT). In this design, however, emission photons scattered to neighbor anodes are encoded by the foci scan location resulting in ghost images. The crosstalk between different anodes is currently measured a priori, which is cumbersome as it depends specimen properties. Here, we present the photon reassignment method for MMM, established based on the maximum likelihood (ML) estimation, for quantification of crosstalk between the anodes of MAPMT without a priori measurement. The method provides the reassignment of the photons generated by the ghost images to the original spatial location thus increases the SNR of the final reconstructed image.
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Affiliation(s)
- Jae Won Cha
- 1] Massachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, MA 02139 [2]
| | - Vijay Raj Singh
- 1] Singapore-MIT Alliance for Research and Technology (SMART), BioSyM, Singapore 138602 [2]
| | - Ki Hean Kim
- Pohang University of Science and Technology, Department of Mechanical Engineering, Pohang 790-784, KOREA
| | - Jaichandar Subramanian
- Massachusetts Institute of Technology, Picower Institute for Learning and Memory, Cambridge, MA 02139
| | - Qiwen Peng
- 1] Institute of Bioengineering and Nanotechnology, A*Star, Singapore 138669 [2] Singapore-MIT Alliance, Computation and System Biology, Singapore 117576
| | - Hanry Yu
- 1] Singapore-MIT Alliance for Research and Technology (SMART), BioSyM, Singapore 138602 [2] Institute of Bioengineering and Nanotechnology, A*Star, Singapore 138669 [3] National University of Singapore, School of Medicine, Singapore 119077
| | - Elly Nedivi
- 1] Massachusetts Institute of Technology, Picower Institute for Learning and Memory, Cambridge, MA 02139 [2] Massachusetts Institute of Technology, Departments of Biology, and Brain and Cognitive Sciences, Cambridge, MA 02139
| | - Peter T C So
- 1] Massachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, MA 02139 [2] Singapore-MIT Alliance for Research and Technology (SMART), BioSyM, Singapore 138602 [3] Massachusetts Institute of Technology, Department of Biomedical Engineering, Cambridge, MA 02139
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Matsumoto N, Okazaki S, Fukushi Y, Takamoto H, Inoue T, Terakawa S. An adaptive approach for uniform scanning in multifocal multiphoton microscopy with a spatial light modulator. OPTICS EXPRESS 2014; 22:633-645. [PMID: 24515023 DOI: 10.1364/oe.22.000633] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
We propose high-quality generation of uniform multiple fluorescence spots (MFS) with a spatial light modulator (SLM) and demonstrate uniform laser scanning in multifocal multiphoton microscopy (MMM). The MFS excitation method iteratively updates a computer-generated hologram (CGH) using correction coefficients to improve the fluorescence intensity distribution in a dye solution whose consistency is uniform. This simple correction method can be applied for calibration of the MMM before observation of living tissue. We experimentally demonstrate an improvement of the uniformity of a 10 × 10 grid of MFS by using a dye solution. After the calibration, we performed laser scanning with two-photon excitation to observe fluorescent polystyrene beads, as well as the gastric gland of a guinea pig specimen.
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Choi H, Yew EYS, Hallacoglu B, Fantini S, Sheppard CJR, So PTC. Improvement of axial resolution and contrast in temporally focused widefield two-photon microscopy with structured light illumination. BIOMEDICAL OPTICS EXPRESS 2013; 4:995-1005. [PMID: 23847726 PMCID: PMC3704103 DOI: 10.1364/boe.4.000995] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2013] [Revised: 05/17/2013] [Accepted: 05/29/2013] [Indexed: 05/18/2023]
Abstract
Although temporally focused wide-field two-photon microscopy (TFM) can perform depth resolved wide field imaging, it cannot avoid the image degradation due to scattering of excitation and emission photons when imaging in a turbid medium. Further, its axial resolution is inferior to standard point-scanning two-photon microscopy. We implemented a structured light illumination for TFM and have shown that it can effectively reject the out-of-focus scattered emission photons improving image contrast. Further, the depth resolution of the improved system is dictated by the spatial frequency of the structure light with the potential of attaining depth resolution better than point-scanning two-photon microscopy.
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Affiliation(s)
- Heejin Choi
- Department of Mechanical Engineering Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Elijah Y. S. Yew
- Singapore MIT Alliance for Research and Technology, Singapore 138602, Singapore
| | - Bertan Hallacoglu
- Department of Biomedical Engineering, Tufts University, Medford, Massachusetts 02155, USA
| | - Sergio Fantini
- Department of Biomedical Engineering, Tufts University, Medford, Massachusetts 02155, USA
| | - Colin J. R. Sheppard
- Department of Nanophysics, Istituto Italiano di Tecnologia, Via Morego, 30, 1613 Genova, Italy
| | - Peter T. C. So
- Department of Mechanical Engineering Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
- Singapore MIT Alliance for Research and Technology, Singapore 138602, Singapore
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Abstract
The advent of scanning two-photon microscopy (2PM) has created a fertile new avenue for noninvasive investigation of brain activity in depth. One principal weakness of this method, however, lies with the limit of scanning speed, which makes optical interrogation of action potential-like activity in a neuronal network problematic. Encoded multisite two-photon microscopy (eMS2PM), a scanless method that allows simultaneous imaging of multiple targets in depth with high temporal resolution, addresses this drawback. eMS2PM uses a liquid crystal spatial light modulator to split a high-power femto-laser beam into multiple subbeams. To distinguish them, a digital micromirror device encodes each subbeam with a specific binary amplitude modulation sequence. Fluorescence signals from all independently targeted sites are then collected simultaneously onto a single photodetector and site-specifically decoded. We demonstrate that eMS2PM can be used to image spike-like voltage transients in cultured cells and fluorescence transients (calcium signals in neurons and red blood cells in capillaries from the cortex) in depth in vivo. These results establish eMS2PM as a unique method for simultaneous acquisition of neuronal network activity.
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Stender AS, Marchuk K, Liu C, Sander S, Meyer MW, Smith EA, Neupane B, Wang G, Li J, Cheng JX, Huang B, Fang N. Single cell optical imaging and spectroscopy. Chem Rev 2013; 113:2469-527. [PMID: 23410134 PMCID: PMC3624028 DOI: 10.1021/cr300336e] [Citation(s) in RCA: 164] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Anthony S. Stender
- Department of Chemistry, Iowa State University and Ames Laboratory, U. S. Department of Energy, Ames, IA 50011, USA
| | - Kyle Marchuk
- Department of Chemistry, Iowa State University and Ames Laboratory, U. S. Department of Energy, Ames, IA 50011, USA
| | - Chang Liu
- Department of Chemistry, Iowa State University and Ames Laboratory, U. S. Department of Energy, Ames, IA 50011, USA
| | - Suzanne Sander
- Department of Chemistry, Iowa State University and Ames Laboratory, U. S. Department of Energy, Ames, IA 50011, USA
| | - Matthew W. Meyer
- Department of Chemistry, Iowa State University and Ames Laboratory, U. S. Department of Energy, Ames, IA 50011, USA
| | - Emily A. Smith
- Department of Chemistry, Iowa State University and Ames Laboratory, U. S. Department of Energy, Ames, IA 50011, USA
| | - Bhanu Neupane
- Department of Chemistry, North Carolina State University, Raleigh, NC 27695, USA
| | - Gufeng Wang
- Department of Chemistry, North Carolina State University, Raleigh, NC 27695, USA
| | - Junjie Li
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907
| | - Ji-Xin Cheng
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907
| | - Bo Huang
- Department of Pharmaceutical Chemistry and Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158
| | - Ning Fang
- Department of Chemistry, Iowa State University and Ames Laboratory, U. S. Department of Energy, Ames, IA 50011, USA
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Abstract
Multiphoton microscopy has enabled unprecedented dynamic exploration in living organisms. A significant challenge in biological research is the dynamic imaging of features deep within living organisms, which permits the real-time analysis of cellular structure and function. To make progress in our understanding of biological machinery, optical microscopes must be capable of rapid, targeted access deep within samples at high resolution. In this Review, we discuss the basic architecture of a multiphoton microscope capable of such analysis and summarize the state-of-the-art technologies for the quantitative imaging of biological phenomena.
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Affiliation(s)
- Erich E. Hoover
- Center for Microintegrated Optics for Advanced Bioimaging and Control, Colorado School of Mines, 1523 Illinois Street, Golden, Colorado 80401, USA
- Department of Physics, Colorado School of Mines, 1523 Illinois Street, Golden, Colorado 80401, USA
| | - Jeff A. Squier
- Center for Microintegrated Optics for Advanced Bioimaging and Control, Colorado School of Mines, 1523 Illinois Street, Golden, Colorado 80401, USA
- Department of Physics, Colorado School of Mines, 1523 Illinois Street, Golden, Colorado 80401, USA
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Isobe K, Takeda T, Mochizuki K, Song Q, Suda A, Kannari F, Kawano H, Kumagai A, Miyawaki A, Midorikawa K. Enhancement of lateral resolution and optical sectioning capability of two-photon fluorescence microscopy by combining temporal-focusing with structured illumination. BIOMEDICAL OPTICS EXPRESS 2013; 4:2396-410. [PMID: 24298403 PMCID: PMC3829536 DOI: 10.1364/boe.4.002396] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2013] [Revised: 09/20/2013] [Accepted: 09/23/2013] [Indexed: 05/05/2023]
Abstract
We demonstrate super-resolution imaging with background fluorescence rejection by interferometric temporal focusing microscopy, in which temporal focusing is combined with structured illumination. The lateral resolution and the optical sectioning capability are simultaneously improved by factors of 1.6 and 1.4, respectively, compared to conventional temporal focusing microscopy. Fluorescent beads (200 nm diameter) that are difficult to distinguish from the background fluorescence in conventional temporal focusing microscopy, are clearly visualized by interferometric temporal focusing microscopy.
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Affiliation(s)
- Keisuke Isobe
- Laser Technology Laboratory, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
- RIKEN Center for Advanced Photonics, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Takanori Takeda
- Laser Technology Laboratory, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
- Department of Physics, Graduate School of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda, Chiba 278-8510, Japan
| | - Kyohei Mochizuki
- Laser Technology Laboratory, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
- Department of Physics, Graduate School of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda, Chiba 278-8510, Japan
| | - Qiyuan Song
- RIKEN Center for Advanced Photonics, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
- Department of Electronics and Electrical Engineering, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan
| | - Akira Suda
- Department of Physics, Graduate School of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda, Chiba 278-8510, Japan
| | - Fumihiko Kannari
- Department of Electronics and Electrical Engineering, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan
| | - Hiroyuki Kawano
- Laboratory for Cell Function Dynamics, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Akiko Kumagai
- Laboratory for Cell Function Dynamics, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Atsushi Miyawaki
- RIKEN Center for Advanced Photonics, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
- Laboratory for Cell Function Dynamics, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Katsumi Midorikawa
- Laser Technology Laboratory, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
- RIKEN Center for Advanced Photonics, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
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Chen Y, Liang CP, Liu Y, Fischer AH, Parwani AV, Pantanowitz L. Review of advanced imaging techniques. J Pathol Inform 2012; 3:22. [PMID: 22754737 PMCID: PMC3385156 DOI: 10.4103/2153-3539.96751] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2012] [Accepted: 04/28/2012] [Indexed: 12/20/2022] Open
Abstract
Pathology informatics encompasses digital imaging and related applications. Several specialized microscopy techniques have emerged which permit the acquisition of digital images (“optical biopsies”) at high resolution. Coupled with fiber-optic and micro-optic components, some of these imaging techniques (e.g., optical coherence tomography) are now integrated with a wide range of imaging devices such as endoscopes, laparoscopes, catheters, and needles that enable imaging inside the body. These advanced imaging modalities have exciting diagnostic potential and introduce new opportunities in pathology. Therefore, it is important that pathology informaticists understand these advanced imaging techniques and the impact they have on pathology. This paper reviews several recently developed microscopic techniques, including diffraction-limited methods (e.g., confocal microscopy, 2-photon microscopy, 4Pi microscopy, and spatially modulated illumination microscopy) and subdiffraction techniques (e.g., photoactivated localization microscopy, stochastic optical reconstruction microscopy, and stimulated emission depletion microscopy). This article serves as a primer for pathology informaticists, highlighting the fundamentals and applications of advanced optical imaging techniques.
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Affiliation(s)
- Yu Chen
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, USA
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