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Ceballos-Ávila D, Vázquez-Sandoval I, Ferrusca-Martínez F, Jiménez-Sánchez A. Conceptually innovative fluorophores for functional bioimaging. Biosens Bioelectron 2024; 264:116638. [PMID: 39153261 DOI: 10.1016/j.bios.2024.116638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Revised: 07/30/2024] [Accepted: 08/06/2024] [Indexed: 08/19/2024]
Abstract
Fluorophore chemistry is at the forefront of bioimaging, revolutionizing the visualization of biological processes with unparalleled precision. From the serendipitous discovery of mauveine in 1856 to cutting-edge fluorophore engineering, this field has undergone transformative evolution. Today, the synergy of chemistry, biology, and imaging technologies has produced diverse, specialized fluorophores that enhance brightness, photostability, and targeting capabilities. This review delves into the history and innovation of fluorescent probes, showcasing their pivotal role in advancing our understanding of cellular dynamics and disease mechanisms. We highlight groundbreaking molecules and their applications, envisioning future breakthroughs that promise to redefine biomedical research and diagnostics.
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Affiliation(s)
- Daniela Ceballos-Ávila
- Instituto de Química, Universidad Nacional Autónoma de México, Ciudad Universitaria, Circuito Exterior s/n. Coyoacán, 04510, Ciudad de México, Mexico
| | - Ixsoyen Vázquez-Sandoval
- Instituto de Química, Universidad Nacional Autónoma de México, Ciudad Universitaria, Circuito Exterior s/n. Coyoacán, 04510, Ciudad de México, Mexico
| | - Fernanda Ferrusca-Martínez
- Instituto de Química, Universidad Nacional Autónoma de México, Ciudad Universitaria, Circuito Exterior s/n. Coyoacán, 04510, Ciudad de México, Mexico
| | - Arturo Jiménez-Sánchez
- Instituto de Química, Universidad Nacional Autónoma de México, Ciudad Universitaria, Circuito Exterior s/n. Coyoacán, 04510, Ciudad de México, Mexico.
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2
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Zhao T, Lei M. Fast, faster, and the fastest structured illumination microscopy. LIGHT, SCIENCE & APPLICATIONS 2024; 13:186. [PMID: 39134519 PMCID: PMC11319336 DOI: 10.1038/s41377-024-01505-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2024]
Abstract
Parallel acquisition-readout structured-illumination microscopy (PAR-SIM) was designed for high-speed raw data acquisition. By utilizing an xy-scan galvo mirror set, the raw data is projected onto different areas of the camera, enabling a fundamentally stupendous information spatial-temporal flux.
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Affiliation(s)
- Tianyu Zhao
- MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Ming Lei
- MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi'an Jiaotong University, Xi'an, 710049, China.
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3
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Soubies E, Nogueron A, Pelletier F, Mangeat T, Leterrier C, Unser M, Sage D. Surpassing light inhomogeneities in structured-illumination microscopy with FlexSIM. J Microsc 2024. [PMID: 39012071 DOI: 10.1111/jmi.13344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 06/03/2024] [Accepted: 06/29/2024] [Indexed: 07/17/2024]
Abstract
Super-resolution structured-illumination microscopy (SIM) is a powerful technique that allows one to surpass the diffraction limit by up to a factor two. Yet, its practical use is hampered by its sensitivity to imaging conditions which makes it prone to reconstruction artefacts. In this work, we present FlexSIM, a flexible SIM reconstruction method capable to handle highly challenging data. Specifically, we demonstrate the ability of FlexSIM to deal with the distortion of patterns, the high level of noise encountered in live imaging, as well as out-of-focus fluorescence. Moreover, we show that FlexSIM achieves state-of-the-art performance over a variety of open SIM datasets.
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Affiliation(s)
| | | | | | - Thomas Mangeat
- LITC Core Facility, Centre de Biologie Integrative, Université de Toulouse, CNRS, Toulouse, France
| | | | - Michael Unser
- Biomedical Imaging Group, EPFL, Lausanne, Switzerland
| | - Daniel Sage
- Biomedical Imaging Group, EPFL, Lausanne, Switzerland
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4
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Saurabh A, Brown PT, Bryan JS, Fox ZR, Kruithoff R, Thompson C, Kural C, Shepherd DP, Pressé S. Approaching Maximum Resolution in Structured Illumination Microscopy via Accurate Noise Modeling. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.12.07.570701. [PMID: 38106139 PMCID: PMC10723446 DOI: 10.1101/2023.12.07.570701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Biological images captured by microscopes are characterized by heterogeneous signal-to-noise ratios (SNRs) due to spatially varying photon emission across the field of view convoluted with camera noise. State-of-the-art unsupervised structured illumination microscopy (SIM) reconstruction algorithms, commonly implemented in the Fourier domain, do not accurately model this noise and suffer from high-frequency artifacts, user-dependent choices of smoothness constraints making assumptions on biological features, and unphysical negative values in the recovered fluorescence intensity map. On the other hand, supervised methods rely on large datasets for training, and often require retraining for new sample structures. Consequently, achieving high contrast near the maximum theoretical resolution in an unsupervised, physically principled, manner remains an open problem. Here, we propose Bayesian-SIM (B-SIM), an unsupervised Bayesian framework to quantitatively reconstruct SIM data, rectifying these shortcomings by accurately incorporating known noise sources in the spatial domain. To accelerate the reconstruction process, we use the finite extent of the point-spread-function to devise a parallelized Monte Carlo strategy involving chunking and restitching of the inferred fluorescence intensity. We benchmark our framework on both simulated and experimental images, and demonstrate improved contrast permitting feature recovery at up to 25% shorter length scales over state-of-the-art methods at both high- and low-SNR. B-SIM enables unsupervised, quantitative, physically accurate reconstruction without the need for labeled training data, democratizing high-quality SIM reconstruction and expands the capabilities of live-cell SIM to lower SNR, potentially revealing biological features in previously inaccessible regimes.
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Affiliation(s)
- Ayush Saurabh
- Center for Biological Physics, Arizona State University, Tempe, AZ, USA
- Department of Physics, Arizona State University, Tempe, AZ, USA
| | - Peter T. Brown
- Center for Biological Physics, Arizona State University, Tempe, AZ, USA
- Department of Physics, Arizona State University, Tempe, AZ, USA
| | - J. Shepard Bryan
- Center for Biological Physics, Arizona State University, Tempe, AZ, USA
- Department of Physics, Arizona State University, Tempe, AZ, USA
| | - Zachary R. Fox
- Computational Science and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Rory Kruithoff
- Center for Biological Physics, Arizona State University, Tempe, AZ, USA
- Department of Physics, Arizona State University, Tempe, AZ, USA
| | | | - Comert Kural
- Department of Physics, The Ohio State University, Columbus, OH, USA
- Interdisciplinary Biophysics Graduate Program, The Ohio State University, Columbus, OH, USA
| | - Douglas P. Shepherd
- Center for Biological Physics, Arizona State University, Tempe, AZ, USA
- Department of Physics, Arizona State University, Tempe, AZ, USA
| | - Steve Pressé
- Center for Biological Physics, Arizona State University, Tempe, AZ, USA
- Department of Physics, Arizona State University, Tempe, AZ, USA
- School of Molecular Sciences, Arizona State University, Tempe, AZ, USA
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5
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Gao YY, He J, Li XH, Li JH, Wu H, Wen T, Li J, Hao GF, Yoon J. Fluorescent chemosensors facilitate the visualization of plant health and their living environment in sustainable agriculture. Chem Soc Rev 2024; 53:6992-7090. [PMID: 38841828 DOI: 10.1039/d3cs00504f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2024]
Abstract
Globally, 91% of plant production encounters diverse environmental stresses that adversely affect their growth, leading to severe yield losses of 50-60%. In this case, monitoring the connection between the environment and plant health can balance population demands with environmental protection and resource distribution. Fluorescent chemosensors have shown great progress in monitoring the health and environment of plants due to their high sensitivity and biocompatibility. However, to date, no comprehensive analysis and systematic summary of fluorescent chemosensors used in monitoring the correlation between plant health and their environment have been reported. Thus, herein, we summarize the current fluorescent chemosensors ranging from their design strategies to applications in monitoring plant-environment interaction processes. First, we highlight the types of fluorescent chemosensors with design strategies to resolve the bottlenecks encountered in monitoring the health and living environment of plants. In addition, the applications of fluorescent small-molecule, nano and supramolecular chemosensors in the visualization of the health and living environment of plants are discussed. Finally, the major challenges and perspectives in this field are presented. This work will provide guidance for the design of efficient fluorescent chemosensors to monitor plant health, and then promote sustainable agricultural development.
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Affiliation(s)
- Yang-Yang Gao
- State Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for Research and Development of Fine Chemicals, Guizhou University, Guiyang 550025, P. R. China.
| | - Jie He
- State Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for Research and Development of Fine Chemicals, Guizhou University, Guiyang 550025, P. R. China.
| | - Xiao-Hong Li
- State Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for Research and Development of Fine Chemicals, Guizhou University, Guiyang 550025, P. R. China.
| | - Jian-Hong Li
- State Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for Research and Development of Fine Chemicals, Guizhou University, Guiyang 550025, P. R. China.
| | - Hong Wu
- State Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for Research and Development of Fine Chemicals, Guizhou University, Guiyang 550025, P. R. China.
| | - Ting Wen
- State Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for Research and Development of Fine Chemicals, Guizhou University, Guiyang 550025, P. R. China.
| | - Jun Li
- College of Chemistry, Huazhong Agricultural University, Wuhan 430070, China.
| | - Ge-Fei Hao
- State Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for Research and Development of Fine Chemicals, Guizhou University, Guiyang 550025, P. R. China.
| | - Juyoung Yoon
- Department of Chemistry and Nanoscience, Ewha Womans University, Seoul 120-750, Korea.
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6
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Huang Z, Cao L. Quantitative phase imaging based on holography: trends and new perspectives. LIGHT, SCIENCE & APPLICATIONS 2024; 13:145. [PMID: 38937443 PMCID: PMC11211409 DOI: 10.1038/s41377-024-01453-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 04/07/2024] [Accepted: 04/10/2024] [Indexed: 06/29/2024]
Abstract
In 1948, Dennis Gabor proposed the concept of holography, providing a pioneering solution to a quantitative description of the optical wavefront. After 75 years of development, holographic imaging has become a powerful tool for optical wavefront measurement and quantitative phase imaging. The emergence of this technology has given fresh energy to physics, biology, and materials science. Digital holography (DH) possesses the quantitative advantages of wide-field, non-contact, precise, and dynamic measurement capability for complex-waves. DH has unique capabilities for the propagation of optical fields by measuring light scattering with phase information. It offers quantitative visualization of the refractive index and thickness distribution of weak absorption samples, which plays a vital role in the pathophysiology of various diseases and the characterization of various materials. It provides a possibility to bridge the gap between the imaging and scattering disciplines. The propagation of wavefront is described by the complex amplitude. The complex-value in the complex-domain is reconstructed from the intensity-value measurement by camera in the real-domain. Here, we regard the process of holographic recording and reconstruction as a transformation between complex-domain and real-domain, and discuss the mathematics and physical principles of reconstruction. We review the DH in underlying principles, technical approaches, and the breadth of applications. We conclude with emerging challenges and opportunities based on combining holographic imaging with other methodologies that expand the scope and utility of holographic imaging even further. The multidisciplinary nature brings technology and application experts together in label-free cell biology, analytical chemistry, clinical sciences, wavefront sensing, and semiconductor production.
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Affiliation(s)
- Zhengzhong Huang
- Department of Precision Instrument, Tsinghua University, Beijing, 100084, China
| | - Liangcai Cao
- Department of Precision Instrument, Tsinghua University, Beijing, 100084, China.
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7
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Liu J, Tan YY, Zheng W, Wang Y, Ju LA, Su QP. Nanoscale insights into hematology: super-resolved imaging on blood cell structure, function, and pathology. J Nanobiotechnology 2024; 22:363. [PMID: 38910248 PMCID: PMC11194919 DOI: 10.1186/s12951-024-02605-2] [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: 03/27/2024] [Accepted: 05/30/2024] [Indexed: 06/25/2024] Open
Abstract
Fluorescence nanoscopy, also known as super-resolution microscopy, has transcended the conventional resolution barriers and enabled visualization of biological samples at nanometric resolutions. A series of super-resolution techniques have been developed and applied to investigate the molecular distribution, organization, and interactions in blood cells, as well as the underlying mechanisms of blood-cell-associated diseases. In this review, we provide an overview of various fluorescence nanoscopy technologies, outlining their current development stage and the challenges they are facing in terms of functionality and practicality. We specifically explore how these innovations have propelled forward the analysis of thrombocytes (platelets), erythrocytes (red blood cells) and leukocytes (white blood cells), shedding light on the nanoscale arrangement of subcellular components and molecular interactions. We spotlight novel biomarkers uncovered by fluorescence nanoscopy for disease diagnosis, such as thrombocytopathies, malignancies, and infectious diseases. Furthermore, we discuss the technological hurdles and chart out prospective avenues for future research directions. This review aims to underscore the significant contributions of fluorescence nanoscopy to the field of blood cell analysis and disease diagnosis, poised to revolutionize our approach to exploring, understanding, and managing disease at the molecular level.
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Affiliation(s)
- Jinghan Liu
- School of Biomedical Engineering, University of Technology Sydney, Sydney, NSW, 2007, Australia
| | - Yuping Yolanda Tan
- Charles Perkins Centre, The University of Sydney, Camperdown, NSW, 2006, Australia
- Heart Research Institute, Newtown, NSW, 2042, Australia
| | - Wen Zheng
- School of Biomedical Engineering, University of Technology Sydney, Sydney, NSW, 2007, Australia
| | - Yao Wang
- School of Biomedical Engineering, The University of Sydney, Darlington, NSW, 2008, Australia
| | - Lining Arnold Ju
- School of Biomedical Engineering, The University of Sydney, Darlington, NSW, 2008, Australia
- Charles Perkins Centre, The University of Sydney, Camperdown, NSW, 2006, Australia
- Heart Research Institute, Newtown, NSW, 2042, Australia
| | - Qian Peter Su
- School of Biomedical Engineering, University of Technology Sydney, Sydney, NSW, 2007, Australia.
- Heart Research Institute, Newtown, NSW, 2042, Australia.
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8
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Gao Z, Han K, Hua X, Liu W, Jia S. hydroSIM: super-resolution speckle illumination microscopy with a hydrogel diffuser. BIOMEDICAL OPTICS EXPRESS 2024; 15:3574-3585. [PMID: 38867780 PMCID: PMC11166422 DOI: 10.1364/boe.521521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 03/27/2024] [Accepted: 04/18/2024] [Indexed: 06/14/2024]
Abstract
Super-resolution microscopy has emerged as an indispensable methodology for probing the intricacies of cellular biology. Structured illumination microscopy (SIM), in particular, offers an advantageous balance of spatial and temporal resolution, allowing for visualizing cellular processes with minimal disruption to biological specimens. However, the broader adoption of SIM remains hampered by the complexity of instrumentation and alignment. Here, we introduce speckle-illumination super-resolution microscopy using hydrogel diffusers (hydroSIM). The study utilizes the high scattering and optical transmissive properties of hydrogel materials and realizes a remarkably simplified approach to plug-in super-resolution imaging via a common epi-fluorescence platform. We demonstrate the hydroSIM system using various phantom and biological samples, and the results exhibited effective 3D resolution doubling, optical sectioning, and high contrast. We foresee hydroSIM, a cost-effective, biocompatible, and user-accessible super-resolution methodology, to significantly advance a wide range of biomedical imaging and applications.
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Affiliation(s)
- Zijun Gao
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia 30332, USA
- Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
- School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | - Keyi Han
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia 30332, USA
| | - Xuanwen Hua
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia 30332, USA
| | - Wenhao Liu
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia 30332, USA
| | - Shu Jia
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia 30332, USA
- Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
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9
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Xu X, Wang W, Qiao L, Fu Y, Ge X, Zhao K, Zhanghao K, Guan M, Chen X, Li M, Jin D, Xi P. Ultra-high spatio-temporal resolution imaging with parallel acquisition-readout structured illumination microscopy (PAR-SIM). LIGHT, SCIENCE & APPLICATIONS 2024; 13:125. [PMID: 38806501 PMCID: PMC11133488 DOI: 10.1038/s41377-024-01464-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 04/08/2024] [Accepted: 04/24/2024] [Indexed: 05/30/2024]
Abstract
Structured illumination microscopy (SIM) has emerged as a promising super-resolution fluorescence imaging technique, offering diverse configurations and computational strategies to mitigate phototoxicity during real-time imaging of biological specimens. Traditional efforts to enhance system frame rates have concentrated on processing algorithms, like rolling reconstruction or reduced frame reconstruction, or on investments in costly sCMOS cameras with accelerated row readout rates. In this article, we introduce an approach to elevate SIM frame rates and region of interest (ROI) coverage at the hardware level, without necessitating an upsurge in camera expenses or intricate algorithms. Here, parallel acquisition-readout SIM (PAR-SIM) achieves the highest imaging speed for fluorescence imaging at currently available detector sensitivity. By using the full frame-width of the detector through synchronizing the pattern generation and image exposure-readout process, we have achieved a fundamentally stupendous information spatial-temporal flux of 132.9 MPixels · s-1, 9.6-fold that of the latest techniques, with the lowest SNR of -2.11 dB and 100 nm resolution. PAR-SIM demonstrates its proficiency in successfully reconstructing diverse cellular organelles in dual excitations, even under conditions of low signal due to ultra-short exposure times. Notably, mitochondrial dynamic tubulation and ongoing membrane fusion processes have been captured in live COS-7 cell, recorded with PAR-SIM at an impressive 408 Hz. We posit that this novel parallel exposure-readout mode not only augments SIM pattern modulation for superior frame rates but also holds the potential to benefit other complex imaging systems with a strategic controlling approach.
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Affiliation(s)
- Xinzhu Xu
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China
- Wallace H. Coulter Dept. of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, 30332, GA, USA
- National Biomedical Imaging Center, Peking University, Beijing, 100871, China
- Department of Biomedical Engineering, College of Engineering, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China
| | - Wenyi Wang
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China
- National Biomedical Imaging Center, Peking University, Beijing, 100871, China
- Airy Technologies Co., Ltd., Beijing, 100086, China
| | - Liang Qiao
- Department of Biomedical Engineering, College of Engineering, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China
- Airy Technologies Co., Ltd., Beijing, 100086, China
| | - Yunzhe Fu
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China
- National Biomedical Imaging Center, Peking University, Beijing, 100871, China
| | - Xichuan Ge
- Airy Technologies Co., Ltd., Beijing, 100086, China
| | - Kun Zhao
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China
- Wallace H. Coulter Dept. of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, 30332, GA, USA
| | - Karl Zhanghao
- Department of Biomedical Engineering, College of Engineering, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China
- Eastern Institute for Advanced Study, Eastern Institute of Technology, Ningbo, Zhejiang, 315200, China
| | - Meiling Guan
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China
- National Biomedical Imaging Center, Peking University, Beijing, 100871, China
| | - Xin Chen
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China
- National Biomedical Imaging Center, Peking University, Beijing, 100871, China
| | - Meiqi Li
- National Biomedical Imaging Center, Peking University, Beijing, 100871, China
- School of Life Science, Peking University, Beijing, 100871, China
| | - Dayong Jin
- Department of Biomedical Engineering, College of Engineering, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China.
- Eastern Institute for Advanced Study, Eastern Institute of Technology, Ningbo, Zhejiang, 315200, China.
- Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW, 2007, Australia.
| | - Peng Xi
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China.
- National Biomedical Imaging Center, Peking University, Beijing, 100871, China.
- Airy Technologies Co., Ltd., Beijing, 100086, China.
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10
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Ren W, Ge X, Li M, Sun J, Li S, Gao S, Shan C, Gao B, Xi P. Visualization of cristae and mtDNA interactions via STED nanoscopy using a low saturation power probe. LIGHT, SCIENCE & APPLICATIONS 2024; 13:116. [PMID: 38782912 PMCID: PMC11116397 DOI: 10.1038/s41377-024-01463-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 04/12/2024] [Accepted: 04/20/2024] [Indexed: 05/25/2024]
Abstract
Mitochondria are crucial organelles closely associated with cellular metabolism and function. Mitochondrial DNA (mtDNA) encodes a variety of transcripts and proteins essential for cellular function. However, the interaction between the inner membrane (IM) and mtDNA remains elusive due to the limitations in spatiotemporal resolution offered by conventional microscopy and the absence of suitable in vivo probes specifically targeting the IM. Here, we have developed a novel fluorescence probe called HBmito Crimson, characterized by exceptional photostability, fluorogenicity within lipid membranes, and low saturation power. We successfully achieved over 500 frames of low-power stimulated emission depletion microscopy (STED) imaging to visualize the IM dynamics, with a spatial resolution of 40 nm. By utilizing dual-color imaging of the IM and mtDNA, it has been uncovered that mtDNA tends to habitat at mitochondrial tips or branch points, exhibiting an overall spatially uniform distribution. Notably, the dynamics of mitochondria are intricately associated with the positioning of mtDNA, and fusion consistently occurs in close proximity to mtDNA to minimize pressure during cristae remodeling. In healthy cells, >66% of the mitochondria are Class III (i.e., mitochondria >5 μm or with >12 cristae), while it dropped to <18% in ferroptosis. Mitochondrial dynamics, orchestrated by cristae remodeling, foster the even distribution of mtDNA. Conversely, in conditions of apoptosis and ferroptosis where the cristae structure is compromised, mtDNA distribution becomes irregular. These findings, achieved with unprecedented spatiotemporal resolution, reveal the intricate interplay between cristae and mtDNA and provide insights into the driving forces behind mtDNA distribution.
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Affiliation(s)
- Wei Ren
- Department of Biomedical Engineering, National Biomedical Imaging Center, College of Future Technology, Peking University, Beijing, 100871, China
| | - Xichuan Ge
- Key Laboratory of Analytical Science and Technology of Hebei Province, College of Chemistry and Material Science, Hebei University, Baoding, 071002, China
| | - Meiqi Li
- School of Life Sciences, Peking University, Beijing, 100871, China
| | - Jing Sun
- Key Laboratory of Analytical Science and Technology of Hebei Province, College of Chemistry and Material Science, Hebei University, Baoding, 071002, China
| | - Shiyi Li
- Key Laboratory of Analytical Science and Technology of Hebei Province, College of Chemistry and Material Science, Hebei University, Baoding, 071002, China
| | - Shu Gao
- Department of Biomedical Engineering, National Biomedical Imaging Center, College of Future Technology, Peking University, Beijing, 100871, China
| | - Chunyan Shan
- School of Life Sciences, Peking University, Beijing, 100871, China.
- National Center for Protein Sciences, Peking University, Beijing, 100871, China.
| | - Baoxiang Gao
- Key Laboratory of Analytical Science and Technology of Hebei Province, College of Chemistry and Material Science, Hebei University, Baoding, 071002, China.
| | - Peng Xi
- Department of Biomedical Engineering, National Biomedical Imaging Center, College of Future Technology, Peking University, Beijing, 100871, China.
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11
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Qiao C, Zeng Y, Meng Q, Chen X, Chen H, Jiang T, Wei R, Guo J, Fu W, Lu H, Li D, Wang Y, Qiao H, Wu J, Li D, Dai Q. Zero-shot learning enables instant denoising and super-resolution in optical fluorescence microscopy. Nat Commun 2024; 15:4180. [PMID: 38755148 PMCID: PMC11099110 DOI: 10.1038/s41467-024-48575-9] [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: 10/07/2023] [Accepted: 05/07/2024] [Indexed: 05/18/2024] Open
Abstract
Computational super-resolution methods, including conventional analytical algorithms and deep learning models, have substantially improved optical microscopy. Among them, supervised deep neural networks have demonstrated outstanding performance, however, demanding abundant high-quality training data, which are laborious and even impractical to acquire due to the high dynamics of living cells. Here, we develop zero-shot deconvolution networks (ZS-DeconvNet) that instantly enhance the resolution of microscope images by more than 1.5-fold over the diffraction limit with 10-fold lower fluorescence than ordinary super-resolution imaging conditions, in an unsupervised manner without the need for either ground truths or additional data acquisition. We demonstrate the versatile applicability of ZS-DeconvNet on multiple imaging modalities, including total internal reflection fluorescence microscopy, three-dimensional wide-field microscopy, confocal microscopy, two-photon microscopy, lattice light-sheet microscopy, and multimodal structured illumination microscopy, which enables multi-color, long-term, super-resolution 2D/3D imaging of subcellular bioprocesses from mitotic single cells to multicellular embryos of mouse and C. elegans.
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Affiliation(s)
- Chang Qiao
- Department of Automation, Tsinghua University, 100084, Beijing, China
- Institute for Brain and Cognitive Sciences, Tsinghua University, 100084, Beijing, China
- Beijing Key Laboratory of Multi-dimension & Multi-scale Computational Photography, Tsinghua University, 100084, Beijing, China
- Beijing Laboratory of Brain and Cognitive Intelligence, Beijing Municipal Education Commission, 100010, Beijing, China
| | - Yunmin Zeng
- Department of Automation, Tsinghua University, 100084, Beijing, China
| | - Quan Meng
- National Laboratory of Biomacromolecules, New Cornerstone Science Laboratory, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, 100101, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Xingye Chen
- Department of Automation, Tsinghua University, 100084, Beijing, China
- Institute for Brain and Cognitive Sciences, Tsinghua University, 100084, Beijing, China
- Beijing Key Laboratory of Multi-dimension & Multi-scale Computational Photography, Tsinghua University, 100084, Beijing, China
- Beijing Laboratory of Brain and Cognitive Intelligence, Beijing Municipal Education Commission, 100010, Beijing, China
- Research Institute for Frontier Science, Beihang University, 100191, Beijing, China
| | - Haoyu Chen
- National Laboratory of Biomacromolecules, New Cornerstone Science Laboratory, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, 100101, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Tao Jiang
- National Laboratory of Biomacromolecules, New Cornerstone Science Laboratory, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, 100101, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Rongfei Wei
- National Laboratory of Biomacromolecules, New Cornerstone Science Laboratory, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, 100101, Beijing, China
| | - Jiabao Guo
- National Laboratory of Biomacromolecules, New Cornerstone Science Laboratory, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, 100101, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Wenfeng Fu
- National Laboratory of Biomacromolecules, New Cornerstone Science Laboratory, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, 100101, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Huaide Lu
- National Laboratory of Biomacromolecules, New Cornerstone Science Laboratory, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, 100101, Beijing, China
- College of Life Sciences, University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Di Li
- National Laboratory of Biomacromolecules, New Cornerstone Science Laboratory, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, 100101, Beijing, China
| | - Yuwang Wang
- Beijing National Research Center for Information Science and Technology, Tsinghua University, 100084, Beijing, China
| | - Hui Qiao
- Department of Automation, Tsinghua University, 100084, Beijing, China
- Institute for Brain and Cognitive Sciences, Tsinghua University, 100084, Beijing, China
- Beijing Key Laboratory of Multi-dimension & Multi-scale Computational Photography, Tsinghua University, 100084, Beijing, China
- Beijing Laboratory of Brain and Cognitive Intelligence, Beijing Municipal Education Commission, 100010, Beijing, China
| | - Jiamin Wu
- Department of Automation, Tsinghua University, 100084, Beijing, China
- Institute for Brain and Cognitive Sciences, Tsinghua University, 100084, Beijing, China
- Beijing Key Laboratory of Multi-dimension & Multi-scale Computational Photography, Tsinghua University, 100084, Beijing, China
- Beijing Laboratory of Brain and Cognitive Intelligence, Beijing Municipal Education Commission, 100010, Beijing, China
| | - Dong Li
- National Laboratory of Biomacromolecules, New Cornerstone Science Laboratory, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, 100101, Beijing, China.
- College of Life Sciences, University of Chinese Academy of Sciences, 100049, Beijing, China.
| | - Qionghai Dai
- Department of Automation, Tsinghua University, 100084, Beijing, China.
- Institute for Brain and Cognitive Sciences, Tsinghua University, 100084, Beijing, China.
- Beijing Key Laboratory of Multi-dimension & Multi-scale Computational Photography, Tsinghua University, 100084, Beijing, China.
- Beijing Laboratory of Brain and Cognitive Intelligence, Beijing Municipal Education Commission, 100010, Beijing, China.
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12
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Maharjan S, Ma C, Singh B, Kang H, Orive G, Yao J, Shrike Zhang Y. Advanced 3D imaging and organoid bioprinting for biomedical research and therapeutic applications. Adv Drug Deliv Rev 2024; 208:115237. [PMID: 38447931 PMCID: PMC11031334 DOI: 10.1016/j.addr.2024.115237] [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: 11/08/2023] [Revised: 01/15/2024] [Accepted: 02/27/2024] [Indexed: 03/08/2024]
Abstract
Organoid cultures offer a valuable platform for studying organ-level biology, allowing for a closer mimicry of human physiology compared to traditional two-dimensional cell culture systems or non-primate animal models. While many organoid cultures use cell aggregates or decellularized extracellular matrices as scaffolds, they often lack precise biochemical and biophysical microenvironments. In contrast, three-dimensional (3D) bioprinting allows precise placement of organoids or spheroids, providing enhanced spatial control and facilitating the direct fusion for the formation of large-scale functional tissues in vitro. In addition, 3D bioprinting enables fine tuning of biochemical and biophysical cues to support organoid development and maturation. With advances in the organoid technology and its potential applications across diverse research fields such as cell biology, developmental biology, disease pathology, precision medicine, drug toxicology, and tissue engineering, organoid imaging has become a crucial aspect of physiological and pathological studies. This review highlights the recent advancements in imaging technologies that have significantly contributed to organoid research. Additionally, we discuss various bioprinting techniques, emphasizing their applications in organoid bioprinting. Integrating 3D imaging tools into a bioprinting platform allows real-time visualization while facilitating quality control, optimization, and comprehensive bioprinting assessment. Similarly, combining imaging technologies with organoid bioprinting can provide valuable insights into tissue formation, maturation, functions, and therapeutic responses. This approach not only improves the reproducibility of physiologically relevant tissues but also enhances understanding of complex biological processes. Thus, careful selection of bioprinting modalities, coupled with appropriate imaging techniques, holds the potential to create a versatile platform capable of addressing existing challenges and harnessing opportunities in these rapidly evolving fields.
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Affiliation(s)
- Sushila Maharjan
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA
| | - Chenshuo Ma
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Bibhor Singh
- Winthrop L. Chenery Upper Elementary School, Belmont, MA 02478, USA
| | - Heemin Kang
- Department of Materials Science and Engineering, Korea University, Seoul 02841, Republic of Korea; College of Medicine, Korea University, Seoul 02841, Republic of Korea
| | - Gorka Orive
- NanoBioCel Research Group, School of Pharmacy, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain; Bioaraba, NanoBioCel Research Group, Vitoria-Gasteiz, Spain; Biomedical Research Networking Centre in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN). Vitoria-Gasteiz, Spain; University Institute for Regenerative Medicine and Oral Implantology - UIRMI (UPV/EHU-Fundación Eduardo Anitua), Vitoria, 01007, Spain; Singapore Eye Research Institute, The Academia, 20 College Road, Discovery Tower, Singapore 169856, Singapore
| | - Junjie Yao
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
| | - Yu Shrike Zhang
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA.
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13
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Wu Z, Zhang C, Sha J, Jing Z, He J, Bai Y, Wu J, Zhang S, Shi P. Ultrabright Xanthene Fluorescence Probe for Mitochondrial Super-Resolution Imaging. Anal Chem 2024; 96:5134-5142. [PMID: 38507805 DOI: 10.1021/acs.analchem.3c05154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2024]
Abstract
Mitochondria are important organelles that provide energy for cellular physiological activities. Changes in their structures may indicate the occurrence of diseases, and the super-resolution imaging of mitochondria is of great significance. However, developing fluorescent probes for mitochondrial super-resolution visualization still remains challenging due to insufficient fluorescence brightness and poor stability. Herein, we rationally synthesized an ultrabright xanthene fluorescence probe Me-hNR for mitochondria-specific super-resolution imaging using structured illumination microscopy (SIM). The rigid structure of Me-hNR provided its ultrahigh fluorescence quantum yield of up to 0.92 and ultrahigh brightness of up to 16,000. Occupying the para-position of the O atom in the xanthene skeleton by utilizing the smallest methyl group ensured its excellent stability. The study of the photophysical process indicated that Me-hNR mainly emitted fluorescence via radiative decay, and nonradiative decay and inter-system crossing were rare due to the slow nonradiative decay rate and large energy gap (ΔEst = 0.55 eV). Owing to these excellent merits, Me-hNR can specifically light up mitochondria at ultralow concentrations down to 5 nM. The unprecedented spatial resolution for mitochondria with an fwhm of 174 nm was also achieved. Therefore, this ultrabright xanthene fluorescence probe has great potential in visualizing the structural changes of mitochondria and revealing the pathogenesis of related diseases using SIM.
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Affiliation(s)
- Ziyong Wu
- Shandong Provincial Key Laboratory of Detection Technology for Tumor Markers, School of Chemistry and Chemical Engineering, College of Medicine, Linyi University, Linyi 276000, P.R. China
| | - Chuangli Zhang
- Shandong Provincial Key Laboratory of Detection Technology for Tumor Markers, School of Chemistry and Chemical Engineering, College of Medicine, Linyi University, Linyi 276000, P.R. China
- Key Laboratory of Photochemical Conversion and Optoelectronic Materials and CityU-CAS Joint Laboratory of Functional Materials and Devices, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing 100190, P.R. China
| | - Jie Sha
- Key Laboratory of Photochemical Conversion and Optoelectronic Materials and CityU-CAS Joint Laboratory of Functional Materials and Devices, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing 100190, P.R. China
| | - Ziyang Jing
- Shandong Provincial Key Laboratory of Detection Technology for Tumor Markers, School of Chemistry and Chemical Engineering, College of Medicine, Linyi University, Linyi 276000, P.R. China
| | - Jing He
- Shandong Provincial Key Laboratory of Detection Technology for Tumor Markers, School of Chemistry and Chemical Engineering, College of Medicine, Linyi University, Linyi 276000, P.R. China
| | - Yang Bai
- Shandong Provincial Key Laboratory of Detection Technology for Tumor Markers, School of Chemistry and Chemical Engineering, College of Medicine, Linyi University, Linyi 276000, P.R. China
| | - Jiasheng Wu
- Key Laboratory of Photochemical Conversion and Optoelectronic Materials and CityU-CAS Joint Laboratory of Functional Materials and Devices, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing 100190, P.R. China
| | - Shusheng Zhang
- Shandong Provincial Key Laboratory of Detection Technology for Tumor Markers, School of Chemistry and Chemical Engineering, College of Medicine, Linyi University, Linyi 276000, P.R. China
| | - Pengfei Shi
- Shandong Provincial Key Laboratory of Detection Technology for Tumor Markers, School of Chemistry and Chemical Engineering, College of Medicine, Linyi University, Linyi 276000, P.R. China
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14
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Zhou Q, Liu Q, Wang Y, Chen J, Schmid O, Rehberg M, Yang L. Bridging Smart Nanosystems with Clinically Relevant Models and Advanced Imaging for Precision Drug Delivery. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2308659. [PMID: 38282076 PMCID: PMC11005737 DOI: 10.1002/advs.202308659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Indexed: 01/30/2024]
Abstract
Intracellular delivery of nano-drug-carriers (NDC) to specific cells, diseased regions, or solid tumors has entered the era of precision medicine that requires systematic knowledge of nano-biological interactions from multidisciplinary perspectives. To this end, this review first provides an overview of membrane-disruption methods such as electroporation, sonoporation, photoporation, microfluidic delivery, and microinjection with the merits of high-throughput and enhanced efficiency for in vitro NDC delivery. The impact of NDC characteristics including particle size, shape, charge, hydrophobicity, and elasticity on cellular uptake are elaborated and several types of NDC systems aiming for hierarchical targeting and delivery in vivo are reviewed. Emerging in vitro or ex vivo human/animal-derived pathophysiological models are further explored and highly recommended for use in NDC studies since they might mimic in vivo delivery features and fill the translational gaps from animals to humans. The exploration of modern microscopy techniques for precise nanoparticle (NP) tracking at the cellular, organ, and organismal levels informs the tailored development of NDCs for in vivo application and clinical translation. Overall, the review integrates the latest insights into smart nanosystem engineering, physiological models, imaging-based validation tools, all directed towards enhancing the precise and efficient intracellular delivery of NDCs.
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Affiliation(s)
- Qiaoxia Zhou
- Institute of Lung Health and Immunity (LHI), Helmholtz MunichComprehensive Pneumology Center (CPC‐M)Member of the German Center for Lung Research (DZL)85764MunichGermany
- Department of Forensic PathologyWest China School of Preclinical and Forensic MedicineSichuan UniversityNo. 17 Third Renmin Road NorthChengdu610041China
- Burning Rock BiotechBuilding 6, Phase 2, Standard Industrial Unit, No. 7 LuoXuan 4th Road, International Biotech IslandGuangzhou510300China
| | - Qiongliang Liu
- Institute of Lung Health and Immunity (LHI), Helmholtz MunichComprehensive Pneumology Center (CPC‐M)Member of the German Center for Lung Research (DZL)85764MunichGermany
- Department of Thoracic SurgeryShanghai General HospitalShanghai Jiao Tong University School of MedicineShanghai200080China
| | - Yan Wang
- Qingdao Central HospitalUniversity of Health and Rehabilitation Sciences (Qingdao Central Medical Group)Qingdao266042China
| | - Jie Chen
- Department of Respiratory MedicineNational Key Clinical SpecialtyBranch of National Clinical Research Center for Respiratory DiseaseXiangya HospitalCentral South UniversityChangshaHunan410008China
- Center of Respiratory MedicineXiangya HospitalCentral South UniversityChangshaHunan410008China
- Clinical Research Center for Respiratory Diseases in Hunan ProvinceChangshaHunan410008China
- Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory DiseaseChangshaHunan410008China
- National Clinical Research Center for Geriatric DisordersXiangya HospitalChangshaHunan410008P. R. China
| | - Otmar Schmid
- Institute of Lung Health and Immunity (LHI), Helmholtz MunichComprehensive Pneumology Center (CPC‐M)Member of the German Center for Lung Research (DZL)85764MunichGermany
| | - Markus Rehberg
- Institute of Lung Health and Immunity (LHI), Helmholtz MunichComprehensive Pneumology Center (CPC‐M)Member of the German Center for Lung Research (DZL)85764MunichGermany
| | - Lin Yang
- Institute of Lung Health and Immunity (LHI), Helmholtz MunichComprehensive Pneumology Center (CPC‐M)Member of the German Center for Lung Research (DZL)85764MunichGermany
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15
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Sharma N, Jung M, Mishra PK, Mun JY, Rhee HW. FLEX: genetically encodable enzymatic fluorescence signal amplification using engineered peroxidase. Cell Chem Biol 2024; 31:S2451-9456(24)00081-3. [PMID: 38513646 DOI: 10.1016/j.chembiol.2024.02.007] [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: 07/31/2023] [Revised: 11/30/2023] [Accepted: 02/22/2024] [Indexed: 03/23/2024]
Abstract
Fluorescent tagging of biomolecules enables their sensitive detection during separation and determining their subcellular location. In this context, peroxidase-based reactions are actively utilized for signal amplification. To harness this potential, we developed a genetically encodable enzymatic fluorescence signal amplification method using APEX (FLEX). We synthesized a fluorescent probe, Jenfluor triazole (JFT1), which effectively amplifies and restricts fluorescence signals under fixed conditions, enabling fluorescence-based detection of subcellularly localized electron-rich metabolites. Moreover, JFT1 exhibited stable fluorescence signals even under osmium-treated and polymer-embedded conditions, which supported findings from correlative light and electron microscopy (CLEM) using APEX. Using various APEX-conjugated proteins of interest (POIs) targeted to different organelles, we successfully visualized their localization through FLEX imaging while effectively preserving organelle ultrastructures. FLEX provides insights into dynamic lysosome-mitochondria interactions upon exposure to chemical stressors. Overall, FLEX holds significant promise as a sensitive and versatile system for fluorescently detecting APEX2-POIs in multiscale biological samples.
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Affiliation(s)
- Nirmali Sharma
- Department of Chemistry, Seoul National University, Seoul 08826, Korea; Department of Chemistry, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Korea
| | - Minkyo Jung
- Neural Circuits Research Group, Korea Brain Research Institute, Daegu 41062, Republic of Korea
| | | | - Ji Young Mun
- Neural Circuits Research Group, Korea Brain Research Institute, Daegu 41062, Republic of Korea.
| | - Hyun-Woo Rhee
- Department of Chemistry, Seoul National University, Seoul 08826, Korea; School of Biological Sciences, Seoul National University, Seoul 08826, Korea.
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16
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Hannebelle MTM, Raeth E, Leitao SM, Lukeš T, Pospíšil J, Toniolo C, Venzin OF, Chrisnandy A, Swain PP, Ronceray N, Lütolf MP, Oates AC, Hagen GM, Lasser T, Radenovic A, McKinney JD, Fantner GE. Open-source microscope add-on for structured illumination microscopy. Nat Commun 2024; 15:1550. [PMID: 38378733 PMCID: PMC10879112 DOI: 10.1038/s41467-024-45567-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 01/26/2024] [Indexed: 02/22/2024] Open
Abstract
Super-resolution techniques expand the abilities of researchers who have the knowledge and resources to either build or purchase a system. This excludes the part of the research community without these capabilities. Here we introduce the openSIM add-on to upgrade existing optical microscopes to Structured Illumination super-resolution Microscopes (SIM). The openSIM is an open-hardware system, designed and documented to be easily duplicated by other laboratories, making super-resolution modality accessible to facilitate innovative research. The add-on approach gives a performance improvement for pre-existing lab equipment without the need to build a completely new system.
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Affiliation(s)
- Mélanie T M Hannebelle
- School of Engineering, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
- School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
- Center for Innovation in Global Health, Stanford University, Stanford, CA, USA
| | - Esther Raeth
- School of Engineering, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
- School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
| | - Samuel M Leitao
- School of Engineering, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
| | - Tomáš Lukeš
- School of Engineering, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
| | - Jakub Pospíšil
- Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
- Department of Medical Biology, UiT The Arctic University of Norway, Tromsø, Norway
| | - Chiara Toniolo
- School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
| | - Olivier F Venzin
- School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
| | - Antonius Chrisnandy
- School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
| | - Prabhu P Swain
- School of Engineering, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
| | - Nathan Ronceray
- School of Engineering, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
| | - Matthias P Lütolf
- School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
| | - Andrew C Oates
- School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
| | - Guy M Hagen
- BioFrontiers Center, University of Colorado Colorado Springs, Colorado Springs, CO, USA
| | - Theo Lasser
- School of Engineering, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
| | - Aleksandra Radenovic
- School of Engineering, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
| | - John D McKinney
- School of Life Sciences, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland
| | - Georg E Fantner
- School of Engineering, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland.
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17
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Hong H, Deng A, Tang Y, Liu Z. How to identify biofouling species in marine and freshwater. BIOFOULING 2024; 40:130-152. [PMID: 38450626 DOI: 10.1080/08927014.2024.2324008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 02/21/2024] [Indexed: 03/08/2024]
Abstract
The identification and management of biofouling remain pressing challenges in marine and freshwater ecosystems, with significant implications for environmental sustainability and industrial operations. This comprehensive review synthesizes the current state-of-the-art in biofouling identification technologies, examining eight prominent methodologies: Microscopy Examination, Molecular Biology, Remote Sensing, Community Involvement, Ecological Methods, Artificial Intelligence, Chemical Analysis, and Macro Photography. Each method is evaluated for its respective advantages and disadvantages, considering factors such as precision, scalability, cost, and data quality. Furthermore, the review identifies current obstacles that inhibit the optimal utilization of these technologies, ranging from technical limitations and high operational costs to issues of data inconsistency and subjectivity. Finally, the review posits a future outlook, advocating for the development of integrated, standardized systems that amalgamate the strengths of individual approaches. Such advancement will pave the way for more effective and sustainable strategies for biofouling identification and management.
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Affiliation(s)
- Heting Hong
- Hubei Meteorological Bureau, Wuhan Regional Climate Center, Wuhan, China
- School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China
| | - Aijuan Deng
- Hubei Meteorological Bureau, Wuhan Regional Climate Center, Wuhan, China
| | - Yang Tang
- Hubei Meteorological Bureau, Wuhan Regional Climate Center, Wuhan, China
| | - Zhixiong Liu
- Hubei Meteorological Bureau, Wuhan Regional Climate Center, Wuhan, China
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18
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Ward EN, McClelland RM, Lamb JR, Rubio-Sánchez R, Christensen CN, Mazumder B, Kapsiani S, Mascheroni L, Di Michele L, Kaminski Schierle GS, Kaminski CF. Fast, multicolour optical sectioning over extended fields of view with patterned illumination and machine learning. BIOMEDICAL OPTICS EXPRESS 2024; 15:1074-1088. [PMID: 38404329 PMCID: PMC10890859 DOI: 10.1364/boe.510912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 12/22/2023] [Accepted: 01/09/2024] [Indexed: 02/27/2024]
Abstract
Structured illumination can reject out-of-focus signal from a sample, enabling high-speed and high-contrast imaging over large areas with widefield detection optics. However, this optical sectioning technique is currently limited by image reconstruction artefacts and poor performance at low signal-to-noise ratios. We combine multicolour interferometric pattern generation with machine learning to achieve high-contrast, real-time reconstruction of image data that is robust to background noise and sample motion. We validate the method in silico and demonstrate imaging of diverse specimens, from fixed and live biological samples to synthetic biosystems, reconstructing data live at 11 Hz across a 44 × 44μm2 field of view, and demonstrate image acquisition speeds exceeding 154 Hz.
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Affiliation(s)
- Edward N. Ward
- Department of Chemical Engineering and
Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
| | - Rebecca M. McClelland
- Department of Chemical Engineering and
Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
| | - Jacob R. Lamb
- Department of Chemical Engineering and
Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
| | - Roger Rubio-Sánchez
- Department of Chemical Engineering and
Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
- fabriCELL, Molecular Sciences Research Hub,
Imperial College London, London, W12 0BZ,
UK
| | - Charles N. Christensen
- Department of Chemical Engineering and
Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
| | - Bismoy Mazumder
- Department of Chemical Engineering and
Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
| | - Sofia Kapsiani
- Department of Chemical Engineering and
Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
| | - Luca Mascheroni
- Department of Chemical Engineering and
Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
| | - Lorenzo Di Michele
- Department of Chemical Engineering and
Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
- fabriCELL, Molecular Sciences Research Hub,
Imperial College London, London, W12 0BZ,
UK
| | | | - Clemens F. Kaminski
- Department of Chemical Engineering and
Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
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19
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Li H, Liu G, Zhong Q, Chen SC. Pixel-reassigned line-scanning microscopy for fast volumetric super-resolution imaging. OPTICS EXPRESS 2024; 32:2347-2355. [PMID: 38297767 DOI: 10.1364/oe.507217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 12/21/2023] [Indexed: 02/02/2024]
Abstract
Super-resolution microscopy has revolutionized the field of biophotonics by revealing detailed 3D biological structures. Nonetheless, the technique is still largely limited by the low throughput and hampered by increased background signals for dense or thick biological specimens. In this paper, we present a pixel-reassigned continuous line-scanning microscope for large-scale high-speed 3D super-resolution imaging, which achieves an imaging resolution of 0.41 µm in the lateral direction, i.e., a 2× resolution enhancement from the raw images. Specifically, the recorded line images are first reassigned to the line-excitation center at each scanning position to enhance the resolution. Next, a modified HiLo algorithm is applied to reduce the background signals. Parametric models have been developed to simulate the imaging results of randomly distributed fluorescent beads. Imaging experiments were designed and performed to verify the predicted performance on various biological samples, which demonstrated an imaging speed of 3400 pixels/ms on millimeter-scale specimens. These results confirm the pixel-reassigned line-scanning microscopy is a facile and powerful method to realize large-area super-resolution imaging on thick or dense biological samples.
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20
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Gong D, Cai C, Strahilevitz E, Chen J, Scherer NF. Easily scalable multi-color DMD-based structured illumination microscopy. OPTICS LETTERS 2024; 49:77-80. [PMID: 38134158 DOI: 10.1364/ol.507599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 12/04/2023] [Indexed: 12/24/2023]
Abstract
Structured illumination microscopy (SIM) achieves super-resolution imaging using a series of phase-shifted sinusoidal illumination patterns to down-modulate high spatial-frequency information of samples. Digital micromirror devices (DMDs) have been increasingly used to generate SIM illumination patterns due to their high speed and moderate cost. However, a DMD micromirror array's blazed grating structure causes strong angular dispersion for different wavelengths of light, thus severely hampering its application in multicolor imaging. We developed a multi-color DMD-SIM setup that employs a diffraction grating to compensate the DMD's dispersion and demonstrate super-resolution SIM imaging of both fluorescent beads and live cells samples with four color channels. This simple but effective approach can be readily scaled to more color channels, thereby greatly expanding the application of SIM in the study of complex multi-component structures and dynamics in soft matter systems.
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21
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Paul TC, Johnson KA, Hagen GM. Super-Resolution Imaging of Neuronal Structures with Structured Illumination Microscopy. Bioengineering (Basel) 2023; 10:1081. [PMID: 37760183 PMCID: PMC10525192 DOI: 10.3390/bioengineering10091081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Accepted: 09/09/2023] [Indexed: 09/29/2023] Open
Abstract
Super-resolution structured illumination microscopy (SR-SIM) is an optical fluorescence microscopy method which is suitable for imaging a wide variety of cells and tissues in biological and biomedical research. Typically, SIM methods use high spatial frequency illumination patterns generated by laser interference. This approach provides high resolution but is limited to thin samples such as cultured cells. Using a different strategy for processing raw data and coarser illumination patterns, we imaged through a 150-micrometer-thick coronal section of a mouse brain expressing GFP in a subset of neurons. The resolution reached 144 nm, an improvement of 1.7-fold beyond conventional widefield imaging.
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Affiliation(s)
| | | | - Guy M. Hagen
- UCCS BioFrontiers Center, University of Colorado Colorado Springs, 1420 Austin Bluffs Parkway, Colorado Springs, CO 80918, USA; (T.C.P.); (K.A.J.)
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