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Achimovich AM, Yan T, Gahlmann A. Dimerization of iLID optogenetic proteins observed using 3D single-molecule tracking in live E. coli. Biophys J 2023; 122:3254-3267. [PMID: 37421134 PMCID: PMC10465707 DOI: 10.1016/j.bpj.2023.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 01/25/2023] [Accepted: 07/05/2023] [Indexed: 07/09/2023] Open
Abstract
3D single-molecule tracking microscopy has enabled measurements of protein diffusion in living cells, offering information about protein dynamics and cellular environments. For example, different diffusive states can be resolved and assigned to protein complexes of different size and composition. However, substantial statistical power and biological validation, often through genetic deletion of binding partners, are required to support diffusive state assignments. When investigating cellular processes, real-time perturbations to protein spatial distributions is preferable to permanent genetic deletion of an essential protein. For example, optogenetic dimerization systems can be used to manipulate protein spatial distributions that could offer a means to deplete specific diffusive states observed in single-molecule tracking experiments. Here, we evaluate the performance of the iLID optogenetic system in living E. coli cells using diffraction-limited microscopy and 3D single-molecule tracking. We observed a robust optogenetic response in protein spatial distributions after 488 nm laser activation. Surprisingly, 3D single-molecule tracking results indicate activation of the optogenetic response when illuminating with high-intensity light with wavelengths at which there is minimal photon absorbance by the LOV2 domain. The preactivation can be minimized through the use of iLID system mutants, and titration of protein expression levels.
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Affiliation(s)
- Alecia M Achimovich
- Department of Molecular Physiology & Biological Physics, University of Virginia School of Medicine, Charlottesville, Virginia
| | - Ting Yan
- Department of Chemistry, University of Virginia, Charlottesville, Virginia
| | - Andreas Gahlmann
- Department of Molecular Physiology & Biological Physics, University of Virginia School of Medicine, Charlottesville, Virginia; Department of Chemistry, University of Virginia, Charlottesville, Virginia.
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2
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Nguyen TD, Chen YI, Chen LH, Yeh HC. Recent Advances in Single-Molecule Tracking and Imaging Techniques. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2023; 16:253-284. [PMID: 37314878 DOI: 10.1146/annurev-anchem-091922-073057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Since the early 1990s, single-molecule detection in solution at room temperature has enabled direct observation of single biomolecules at work in real time and under physiological conditions, providing insights into complex biological systems that the traditional ensemble methods cannot offer. In particular, recent advances in single-molecule tracking techniques allow researchers to follow individual biomolecules in their native environments for a timescale of seconds to minutes, revealing not only the distinct pathways these biomolecules take for downstream signaling but also their roles in supporting life. In this review, we discuss various single-molecule tracking and imaging techniques developed to date, with an emphasis on advanced three-dimensional (3D) tracking systems that not only achieve ultrahigh spatiotemporal resolution but also provide sufficient working depths suitable for tracking single molecules in 3D tissue models. We then summarize the observables that can be extracted from the trajectory data. Methods to perform single-molecule clustering analysis and future directions are also discussed.
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Affiliation(s)
- Trung Duc Nguyen
- Department of Biomedical Engineering, University of Texas at Austin, Austin, Texas, USA;
| | - Yuan-I Chen
- Department of Biomedical Engineering, University of Texas at Austin, Austin, Texas, USA;
| | - Limin H Chen
- Department of Biomedical Engineering, University of Texas at Austin, Austin, Texas, USA;
| | - Hsin-Chih Yeh
- Department of Biomedical Engineering, University of Texas at Austin, Austin, Texas, USA;
- Texas Materials Institute, University of Texas at Austin, Austin, Texas, USA
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3
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Scalisi S, Pisignano D, Cella Zanacchi F. Single-molecule localization microscopy goes quantitative. Microsc Res Tech 2023; 86:494-504. [PMID: 36601697 DOI: 10.1002/jemt.24281] [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: 11/15/2022] [Revised: 12/10/2022] [Accepted: 12/12/2022] [Indexed: 01/06/2023]
Abstract
In the last few years, single-molecule localization (SMLM) techniques have been used to address biological questions in different research fields. More recently, super-resolution has also been proposed as a quantitative tool for quantifying protein copy numbers at the nanoscale level. In this scenario, quantitative approaches, mainly based on stepwise photobleaching and quantitative SMLM assisted by calibration standards, offer an exquisite tool for investigating protein complexes. This primer focuses on the basic concepts behind quantitative super-resolution microscopy, also providing strategies to overcome the technical hurdles that could limit their application.
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Affiliation(s)
- Silvia Scalisi
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
- Nanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, Genoa, Italy
| | - Dario Pisignano
- Dipartimento di Fisica "E. Fermi", Università di Pisa, Pisa, Italy
| | - Francesca Cella Zanacchi
- Nanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, Genoa, Italy
- Dipartimento di Fisica "E. Fermi", Università di Pisa, Pisa, Italy
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4
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Wang F, Lai J, Liu H, Zhao M, Zhang Y, Xu J, Yu Y, Wang C. Double helix point spread function with variable spacing for precise 3D particle localization. OPTICS EXPRESS 2023; 31:11680-11694. [PMID: 37155797 DOI: 10.1364/oe.482390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
To extend the axial depth of nanoscale 3D-localization microscopy, we propose here a splicing-type vortex singularities (SVS) phase mask, which has been meticulously optimized with a Fresnel approximation imaging inverse operation. The optimized SVS DH-PSF has proven to have high transfer function efficiency with adjustable performance in its axial range. The axial position of the particle was computed by using both the main lobes' spacing and the rotation angle, an improvement of the localization precision of the particle. Concretely, the proposed optimized SVS DH-PSF, with a smaller spatial extent, can effectively reduce the overlap of nanoparticle images and realize the 3D localization of multiple nanoparticles with small spacing, with respect to PSFs for large axial 3D localization. Finally, we successfully conducted extensive experiments on 3D localization for tracking dense nanoparticles at 8µm depth with a numerical aperture of 1.4, demonstrating its great potential.
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5
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Prindle JR, Wang Y, Rocha JM, Diepold A, Gahlmann A. Distinct Cytosolic Complexes Containing the Type III Secretion System ATPase Resolved by Three-Dimensional Single-Molecule Tracking in Live Yersinia enterocolitica. Microbiol Spectr 2022; 10:e0174422. [PMID: 36354362 PMCID: PMC9769973 DOI: 10.1128/spectrum.01744-22] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 10/20/2022] [Indexed: 11/12/2022] Open
Abstract
The membrane-embedded injectisome, the structural component of the virulence-associated type III secretion system (T3SS), is used by Gram-negative bacterial pathogens to inject species-specific effector proteins into eukaryotic host cells. The cytosolic injectisome proteins are required for export of effectors and display both stationary, injectisome-bound populations and freely diffusing cytosolic populations. How the cytosolic injectisome proteins interact with each other in the cytosol and associate with membrane-embedded injectisomes remains unclear. Here, we utilized three-dimensional (3D) single-molecule tracking to resolve distinct cytosolic complexes of injectisome proteins in living Yersinia enterocolitica cells. Tracking of the enhanced yellow fluorescent protein (eYFP)-labeled ATPase YeSctN and its regulator, YeSctL, revealed that these proteins form a cytosolic complex with each other and then further with YeSctQ. YeSctNL and YeSctNLQ complexes can be observed both in wild-type cells and in ΔsctD mutants, which cannot assemble injectisomes. In ΔsctQ mutants, the relative abundance of the YeSctNL complex is considerably increased. These data indicate that distinct cytosolic complexes of injectisome proteins can form prior to injectisome binding, which has important implications for how injectisomes are functionally regulated. IMPORTANCE Injectisomes are membrane-embedded, multiprotein assemblies used by bacterial pathogens to inject virulent effector proteins into eukaryotic host cells. Protein secretion is regulated by cytosolic proteins that dynamically bind and unbind at injectisomes. However, how these regulatory proteins interact with each other remains unknown. By measuring the diffusion rates of single molecules in living cells, we show that cytosolic injectisome proteins form distinct oligomeric complexes with each other prior to binding to injectisomes. We additionally identify the molecular compositions of these complexes and quantify their relative abundances. Quantifying to what extent cytosolic proteins exist as part of larger complexes in living cells has important implications for deciphering the complexity of biomolecular mechanisms. The results and methods reported here are thus relevant for advancing our understanding of how injectisomes and related multiprotein assemblies, such as bacterial flagellar motors, are functionally regulated.
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Affiliation(s)
- Joshua R. Prindle
- Department of Chemistry, University of Virginia, Charlottesville, Virginia, USA
| | - Yibo Wang
- Department of Chemistry, University of Virginia, Charlottesville, Virginia, USA
| | - Julian M. Rocha
- Department of Chemistry, University of Virginia, Charlottesville, Virginia, USA
| | - Andreas Diepold
- Max Planck Institute for Terrestrial Microbiology, Marburg, Germany
| | - Andreas Gahlmann
- Department of Chemistry, University of Virginia, Charlottesville, Virginia, USA
- Department of Molecular Physiology & Biological Physics, University of Virginia School of Medicine, Charlottesville, Virginia, USA
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6
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Kashchuk AV, Perederiy O, Caldini C, Gardini L, Pavone FS, Negriyko AM, Capitanio M. Particle Localization Using Local Gradients and Its Application to Nanometer Stabilization of a Microscope. ACS NANO 2022; 17:1344-1354. [PMID: 36383436 PMCID: PMC9878972 DOI: 10.1021/acsnano.2c09787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Accepted: 11/10/2022] [Indexed: 06/16/2023]
Abstract
Particle localization plays a fundamental role in advanced biological techniques such as single-molecule tracking, superresolution microscopy, and manipulation by optical and magnetic tweezers. Such techniques require fast and accurate particle localization algorithms as well as nanometer-scale stability of the microscope. Here, we present a universal method for three-dimensional localization of single labeled and unlabeled particles based on local gradient calculation of particle images. The method outperforms state-of-the-art localization techniques in high-noise conditions, and it is capable of 3D nanometer accuracy localization of nano- and microparticles with sub-millisecond calculation time. By localizing a fixed particle as fiducial mark and running a feedback loop, we demonstrate its applicability for active drift correction in sensitive nanomechanical measurements such as optical trapping and superresolution imaging. A multiplatform open software package comprising a set of tools for local gradient calculation in brightfield, darkfield, and fluorescence microscopy is shared for ready use by the scientific community.
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Affiliation(s)
- Anatolii V. Kashchuk
- Department
of Physics and Astronomy, University of
Florence, Via Sansone 1, Sesto Fiorentino, 50019, Italy
- LENS, European Laboratory for Non-Linear Spectroscopy, Via Nello Carrara 1, Sesto Fiorentino, 50019, Italy
| | | | - Chiara Caldini
- LENS, European Laboratory for Non-Linear Spectroscopy, Via Nello Carrara 1, Sesto Fiorentino, 50019, Italy
| | - Lucia Gardini
- LENS, European Laboratory for Non-Linear Spectroscopy, Via Nello Carrara 1, Sesto Fiorentino, 50019, Italy
- National
Institute of Optics, National Research Council, Largo Fermi 6, 50125, Florence, Italy
| | - Francesco Saverio Pavone
- Department
of Physics and Astronomy, University of
Florence, Via Sansone 1, Sesto Fiorentino, 50019, Italy
- LENS, European Laboratory for Non-Linear Spectroscopy, Via Nello Carrara 1, Sesto Fiorentino, 50019, Italy
- National
Institute of Optics, National Research Council, Largo Fermi 6, 50125, Florence, Italy
| | | | - Marco Capitanio
- Department
of Physics and Astronomy, University of
Florence, Via Sansone 1, Sesto Fiorentino, 50019, Italy
- LENS, European Laboratory for Non-Linear Spectroscopy, Via Nello Carrara 1, Sesto Fiorentino, 50019, Italy
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7
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Siemons ME, Kapitein LC, Stallinga S. Axial accuracy in localization microscopy with 3D point spread function engineering. OPTICS EXPRESS 2022; 30:28290-28300. [PMID: 36299028 DOI: 10.1364/oe.461750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 06/09/2022] [Indexed: 06/16/2023]
Abstract
Single-molecule localization microscopy has developed into a widely used technique to overcome the diffraction limit and enables 3D localization of single-emitters with nanometer precision. A widely used method to enable 3D encoding is to use a cylindrical lens or a phase mask to engineer the point spread function (PSF). The performance of these PSFs is often assessed by comparing the precision they achieve, ignoring accuracy. Nonetheless, accurate localization is required in many applications, such as multi-plane imaging, measuring and modelling of physical processes based on volumetric data, and 3D particle averaging. However, there are PSF model mismatches in the localization schemes due to how reference PSFs are obtained, look-up-tables are created, or spots are fitted. Currently there is little insight in how these model mismatches give rise to systematic axial localization errors, how large these errors are, and how to mitigate them. In this theoretical and simulation work we use a vector PSF model, which incorporates super-critical angle fluorescence (SAF) and the appropriate aplanatic correction factor, to analyze the errors in z-localization. We introduce theory for defining the focal plane in SAF conditions and analyze the predicted axial errors for an astigmatic PSF, double-helix PSF, and saddle-point PSF. These simulations indicate that the absolute axial biases can be as large as 140 nm, 250 nm, and 120 nm for the astigmatic, saddle-point, and double-helix PSF respectively, with relative errors of more than 50%. Finally, we discuss potential experimental methods to verify these findings and propose a workflow to mitigate these effects.
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8
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Zhang Z, Chan RKY, Wong KKY. Quantized spiral-phase-modulation based deep learning for real-time defocusing distance prediction. OPTICS EXPRESS 2022; 30:26931-26940. [PMID: 36236875 DOI: 10.1364/oe.460858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 04/30/2022] [Indexed: 06/16/2023]
Abstract
Whole slide imaging (WSI) has become an essential tool in pathological diagnosis, owing to its convenience on remote and collaborative review. However, how to bring the sample at the optimal position in the axial direction and image without defocusing artefacts is still a challenge, as traditional methods are either not universal or time-consuming. Until recently, deep learning has been shown to be effective in the autofocusing task in predicting defocusing distance. Here, we apply quantized spiral phase modulation on the Fourier domain of the captured images before feeding them into a light-weight neural network. It can significantly reduce the average predicting error to be lower than any previous work on an open dataset. Also, the high predicting speed strongly supports it can be applied on an edge device for real-time tasks with limited computational source and memory footprint.
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9
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van Heerden B, Vickers NA, Krüger TPJ, Andersson SB. Real-Time Feedback-Driven Single-Particle Tracking: A Survey and Perspective. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2022; 18:e2107024. [PMID: 35758534 PMCID: PMC9308725 DOI: 10.1002/smll.202107024] [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: 11/14/2021] [Revised: 04/07/2022] [Indexed: 05/14/2023]
Abstract
Real-time feedback-driven single-particle tracking (RT-FD-SPT) is a class of techniques in the field of single-particle tracking that uses feedback control to keep a particle of interest in a detection volume. These methods provide high spatiotemporal resolution on particle dynamics and allow for concurrent spectroscopic measurements. This review article begins with a survey of existing techniques and of applications where RT-FD-SPT has played an important role. Each of the core components of RT-FD-SPT are systematically discussed in order to develop an understanding of the trade-offs that must be made in algorithm design and to create a clear picture of the important differences, advantages, and drawbacks of existing approaches. These components are feedback tracking and control, ranging from simple proportional-integral-derivative control to advanced nonlinear techniques, estimation to determine particle location from the measured data, including both online and offline algorithms, and techniques for calibrating and characterizing different RT-FD-SPT methods. Then a collection of metrics for RT-FD-SPT is introduced to help guide experimentalists in selecting a method for their particular application and to help reveal where there are gaps in the techniques that represent opportunities for further development. Finally, this review is concluded with a discussion on future perspectives in the field.
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Affiliation(s)
- Bertus van Heerden
- Department of Physics, University of Pretoria, Pretoria, 0002, South Africa
- Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Pretoria, 0002, South Africa
| | - Nicholas A Vickers
- Department of Mechanical Engineering, Boston University, Boston, MA, 02215, USA
| | - Tjaart P J Krüger
- Department of Physics, University of Pretoria, Pretoria, 0002, South Africa
- Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Pretoria, 0002, South Africa
| | - Sean B Andersson
- Department of Mechanical Engineering, Boston University, Boston, MA, 02215, USA
- Division of Systems Engineering, Boston University, Boston, MA, 02215, USA
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10
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Ma Z, Dong S, Dun X, Wei Z, Wang Z, Cheng X. Reconfigurable Metalens with Phase-Change Switching between Beam Acceleration and Rotation for 3D Depth Imaging. MICROMACHINES 2022; 13:mi13040607. [PMID: 35457911 PMCID: PMC9031172 DOI: 10.3390/mi13040607] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 04/04/2022] [Accepted: 04/09/2022] [Indexed: 01/27/2023]
Abstract
Depth imaging is very important for many emerging technologies, such as artificial intelligence, driverless vehicles and facial recognition. However, all these applications demand compact and low-power systems that are beyond the capabilities of most state-of-art depth cameras. Recently, metasurface-based depth imaging that exploits point spread function (PSF) engineering has been demonstrated to be miniaturized and single shot without requiring active illumination or multiple viewpoint exposures. A pair of spatially adjacent metalenses with an extended depth-of-field (EDOF) PSF and a depth-sensitive double-helix PSF (DH-PSF) were used, using the former metalens to reconstruct clear images of each depth and the latter to accurately estimate depth. However, due to these two metalenses being non-coaxial, parallax in capturing scenes is inevitable, which would limit the depth precision and field of view. In this work, a bifunctional reconfigurable metalens for 3D depth imaging was proposed by dynamically switching between EDOF-PSF and DH-PSF. Specifically, a polarization-independent metalens working at 1550 nm with a compact 1 mm2 aperture was realized, which can generate a focused accelerating beam and a focused rotating beam at the phase transition of crystalline and amorphous Ge2Sb2Te5 (GST), respectively. Combined with the deconvolution algorithm, we demonstrated the good capabilities of scene reconstruction and depth imaging using a theoretical simulation and achieved a depth measurement error of only 3.42%.
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Affiliation(s)
- Zhiyuan Ma
- MOE Key Laboratory of Advanced Micro-Structured Materials, Shanghai 200092, China; (Z.M.); (X.D.); (Z.W.); (Z.W.); (X.C.)
- Institute of Precision Optical Engineering, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China
- Shanghai Frontiers Science Center of Digital Optics, Shanghai 200092, China
| | - Siyu Dong
- MOE Key Laboratory of Advanced Micro-Structured Materials, Shanghai 200092, China; (Z.M.); (X.D.); (Z.W.); (Z.W.); (X.C.)
- Institute of Precision Optical Engineering, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China
- Shanghai Frontiers Science Center of Digital Optics, Shanghai 200092, China
- Correspondence:
| | - Xiong Dun
- MOE Key Laboratory of Advanced Micro-Structured Materials, Shanghai 200092, China; (Z.M.); (X.D.); (Z.W.); (Z.W.); (X.C.)
- Institute of Precision Optical Engineering, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China
- Shanghai Frontiers Science Center of Digital Optics, Shanghai 200092, China
| | - Zeyong Wei
- MOE Key Laboratory of Advanced Micro-Structured Materials, Shanghai 200092, China; (Z.M.); (X.D.); (Z.W.); (Z.W.); (X.C.)
- Institute of Precision Optical Engineering, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China
- Shanghai Frontiers Science Center of Digital Optics, Shanghai 200092, China
| | - Zhanshan Wang
- MOE Key Laboratory of Advanced Micro-Structured Materials, Shanghai 200092, China; (Z.M.); (X.D.); (Z.W.); (Z.W.); (X.C.)
- Institute of Precision Optical Engineering, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China
- Shanghai Frontiers Science Center of Digital Optics, Shanghai 200092, China
- Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, China
| | - Xinbin Cheng
- MOE Key Laboratory of Advanced Micro-Structured Materials, Shanghai 200092, China; (Z.M.); (X.D.); (Z.W.); (Z.W.); (X.C.)
- Institute of Precision Optical Engineering, School of Physics Science and Engineering, Tongji University, Shanghai 200092, China
- Shanghai Frontiers Science Center of Digital Optics, Shanghai 200092, China
- Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, China
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11
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Filbrun SL, Zhao F, Chen K, Huang TX, Yang M, Cheng X, Dong B, Fang N. Imaging Dynamic Processes in Multiple Dimensions and Length Scales. Annu Rev Phys Chem 2022; 73:377-402. [PMID: 35119943 DOI: 10.1146/annurev-physchem-090519-034100] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Optical microscopy has become an invaluable tool for investigating complex samples. Over the years, many advances to optical microscopes have been made that have allowed us to uncover new insights into the samples studied. Dynamic changes in biological and chemical systems are of utmost importance to study. To probe these samples, multidimensional approaches have been developed to acquire a fuller understanding of the system of interest. These dimensions include the spatial information, such as the three-dimensional coordinates and orientation of the optical probes, and additional chemical and physical properties through combining microscopy with various spectroscopic techniques. In this review, we survey the field of multidimensional microscopy and provide an outlook on the field and challenges that may arise. Expected final online publication date for the Annual Review of Physical Chemistry, Volume 73 is April 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Seth L Filbrun
- Department of Chemistry, Georgia State University, Atlanta, Georgia, USA
| | - Fei Zhao
- Department of Chemistry, Georgia State University, Atlanta, Georgia, USA
| | - Kuangcai Chen
- Department of Chemistry, Georgia State University, Atlanta, Georgia, USA.,Imaging Core Facility, Georgia State University, Atlanta, Georgia, USA
| | - Teng-Xiang Huang
- Department of Chemistry, Georgia State University, Atlanta, Georgia, USA
| | - Meek Yang
- Department of Chemistry and Biochemistry, University of Arkansas, Fayetteville, Arkansas, USA;
| | - Xiaodong Cheng
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, State Key Laboratory of Physical Chemistry of Solid Surfaces, Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen Key Laboratory of Analytical Molecular Nanotechnology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian, China; ,
| | - Bin Dong
- Department of Chemistry and Biochemistry, University of Arkansas, Fayetteville, Arkansas, USA;
| | - Ning Fang
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, State Key Laboratory of Physical Chemistry of Solid Surfaces, Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen Key Laboratory of Analytical Molecular Nanotechnology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian, China; ,
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12
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Zhang M, Seitz C, Chang G, Iqbal F, Lin H, Liu J. A guide for single-particle chromatin tracking in live cell nuclei. Cell Biol Int 2022; 46:683-700. [PMID: 35032142 PMCID: PMC9035067 DOI: 10.1002/cbin.11762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 12/29/2021] [Accepted: 01/08/2022] [Indexed: 11/09/2022]
Abstract
The emergence of labeling strategies and live cell imaging methods enables the imaging of chromatin in living cells at single digit nanometer resolution as well as milliseconds temporal resolution. These technical breakthroughs revolutionize our understanding of chromatin structure, dynamics and functions. Single molecule tracking algorithms are usually preferred to quantify the movement of these intranucleus elements to interpret the spatiotemporal evolution of the chromatin. In this review, we will first summarize the fluorescent labeling strategy of chromatin in live cells which will be followed by a sys-tematic comparison of live cell imaging instrumentation. With the proper microscope, we will discuss the image analysis pipelines to extract the biophysical properties of the chromatin. Finally, we expect to give practical suggestions to broad biologists on how to select methods and link to the model properly according to different investigation pur-poses. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Mengdi Zhang
- Department of Physics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA
| | - Clayton Seitz
- Department of Physics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA
| | - Garrick Chang
- Department of Physics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA
| | - Fadil Iqbal
- Department of Physics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA
| | - Hua Lin
- Department of Physics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA
| | - Jing Liu
- Department of Physics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA.,Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN, USA.,Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
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13
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Zhang W, Zhang Z, Bian L, Wang H, Suo J, Dai Q. High-axial-resolution single-molecule localization under dense excitation with a multi-channel deep U-Net. OPTICS LETTERS 2021; 46:5477-5480. [PMID: 34724505 DOI: 10.1364/ol.441536] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 10/01/2021] [Indexed: 06/13/2023]
Abstract
Single-molecule localization microscopy (SMLM) can bypass the diffraction limit of optical microscopes and greatly improve the resolution in fluorescence microscopy. By introducing the point spread function (PSF) engineering technique, we can customize depth varying PSF to achieve higher axial resolution. However, most existing 3D single-molecule localization algorithms require excited fluorescent molecules to be sparse and captured at high signal-to-noise ratios, which results in a long acquisition time and precludes SMLM's further applications in many potential fields. To address this problem, we propose a novel 3D single-molecular localization method based on a multi-channel neural network based on U-Net. By leveraging the deep network's great advantages in feature extraction, the proposed network can reliably discriminate dense fluorescent molecules with overlapped PSFs and corrupted by sensor noise. Both simulated and real experiments demonstrate its superior performance in PSF engineered microscopes with short exposure and dense excitations, which holds great potential in fast 3D super-resolution microscopy.
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14
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Yang J, Du H, Chai Z, Ling Z, Li BQ, Mei X. Targeted Nanoscale 3D Thermal Imaging of Tumor Cell Surface with Functionalized Quantum Dots. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2021; 17:e2102807. [PMID: 34390313 DOI: 10.1002/smll.202102807] [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: 05/13/2021] [Revised: 06/05/2021] [Indexed: 06/13/2023]
Abstract
Measuring the changes in tumor cell surface temperature can provide insights into cellular metabolism and pathological features, which is significant for targeted chemotherapy and hyperthermic therapy. However, conventional micro-nano scale methods are invasive and can only measure the temperature of cells across a single plane, which excludes specific organelles. In this study, fluorescence quantum dots (QDs) are functionalized with the membrane transport protein transferrin (Tf) as a thermo-sensor specific for tumor cell membrane. The covalent conjugation is optimized to maintain the relative fluorescence intensity of the Tf-QDs to >90%. In addition, the Tf-QDs undergo changes in the fluorescence spectra as a function of temperature, underscoring its thermo-sensor function. Double helix point spread function imaging optical path is designed to locate the probe at nanoscale, and 3D thermal imaging technology is proposed to measure the local temperature distribution and direction of heat flux on the tumor cell surface. This novel targeted nanoscale 3D thermometry method can be a highly promising tool for measuring the local and global temperature distribution across intracellular organelles.
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Affiliation(s)
- Jun Yang
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
- Shaanxi Key Laboratory of Intelligent Robots, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Hanliang Du
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
- Shaanxi Key Laboratory of Intelligent Robots, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Zhenhao Chai
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
- Shaanxi Key Laboratory of Intelligent Robots, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Zheng Ling
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
- Shaanxi Key Laboratory of Intelligent Robots, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Ben Q Li
- Department of Mechanical Engineering, College of Engineering and Computer Science, University of Michigan, Ann Arbor, MI, 48128, USA
| | - Xuesong Mei
- State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
- Shaanxi Key Laboratory of Intelligent Robots, Xi'an Jiaotong University, Xi'an, 710049, China
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15
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Yoshida S, Schmid W, Vo N, Calabrase W, Kisley L. Computationally-efficient spatiotemporal correlation analysis super-resolves anomalous diffusion. OPTICS EXPRESS 2021; 29:7616-7629. [PMID: 33726259 DOI: 10.1364/oe.416465] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 02/15/2021] [Indexed: 06/12/2023]
Abstract
Anomalous diffusion dynamics in confined nanoenvironments govern the macroscale properties and interactions of many biophysical and material systems. Currently, it is difficult to quantitatively link the nanoscale structure of porous media to anomalous diffusion within them. Fluorescence correlation spectroscopy super-resolution optical fluctuation imaging (fcsSOFI) has been shown to extract nanoscale structure and Brownian diffusion dynamics within gels, liquid crystals, and polymers, but has limitations which hinder its wider application to more diverse, biophysically-relevant datasets. Here, we parallelize the least-squares curve fitting step on a GPU improving computation times by up to a factor of 40, implement anomalous diffusion and two-component Brownian diffusion models, and make fcsSOFI more accessible by packaging it in a user-friendly GUI. We apply fcsSOFI to simulations of the protein fibrinogen diffusing in polyacrylamide of varying matrix densities and super-resolve locations where slower, anomalous diffusion occurs within smaller, confined pores. The improvements to fcsSOFI in speed, scope, and usability will allow for the wider adoption of super-resolution correlation analysis to diverse research topics.
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16
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Marar A, Kner P. Fundamental precision bounds for three-dimensional optical localization microscopy using self-interference digital holography. BIOMEDICAL OPTICS EXPRESS 2021; 12:20-40. [PMID: 33520376 PMCID: PMC7818950 DOI: 10.1364/boe.400712] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 11/18/2020] [Accepted: 11/19/2020] [Indexed: 06/12/2023]
Abstract
Localization based microscopy using self-interference digital holography (SIDH) provides three-dimensional (3D) positional information about point sources with nanometer scale precision. To understand the performance limits of SIDH, here we calculate the theoretical limit to localization precision for SIDH when designed with two different configurations. One configuration creates the hologram using a plane wave and a spherical wave while the second configuration creates the hologram using two spherical waves. We further compare the calculated precision bounds to the 3D single molecule localization precision from different Point Spread Functions. SIDH results in almost constant localization precision in all three dimensions for a 20 µm thick depth of field. For high signal-to-background ratio (SBR), SIDH on average achieves better localization precision. For lower SBR values, the large size of the hologram on the detector becomes a problem, and PSF models perform better.
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17
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Hoppe Alvarez L, Rudov AA, Gumerov RA, Lenssen P, Simon U, Potemkin II, Wöll D. Controlling microgel deformation via deposition method and surface functionalization of solid supports. Phys Chem Chem Phys 2021; 23:4927-4934. [PMID: 33620358 DOI: 10.1039/d0cp06355j] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Soft matter at solid-liquid interfaces plays an important role in multiple scientific disciplines as well as in various technological fields. For microgels, representing highly interesting soft matter systems, we demonstrate that the preparation method, i.e. the way how the microgel is applied to the specific surface, plays a key role. Focusing on the three most common sample preparation methods (spin-coating, drop-casting and adsorption from solution), we performed a comparative study of the deformation behavior of microgels at the solid-liquid interface on three different surfaces with varying hydrophilicities. For in situ visualization of the deformation of pNIPMAM microgels, we conducted highly sensitive 3D super resolution fluorescence microscopy methods. We furthermore performed complementary molecular dynamics simulations to determine the driving force responsible for the deformation depending on the surface and the deposition method. The combination of experiments and simulations revealed that the simulated equilibrium structure obtained after simulation of the completely dry microgel after deposition is retained after rehydration and subsequent fluorescent imaging.
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Affiliation(s)
- Laura Hoppe Alvarez
- Institute of Physical Chemistry, RWTH Aachen University, Landoltweg 2, D-52056 Aachen, Germany.
| | - Andrey A Rudov
- Physics Department, Lomonosov Moscow State University, Leninskie Gory 1-2, Moscow 119991, Russian Federation and DWI - Leibniz-Institute for Interactive Materials, Forckenbeckstraße 50, D-52056 Aachen, Germany
| | - Rustam A Gumerov
- Physics Department, Lomonosov Moscow State University, Leninskie Gory 1-2, Moscow 119991, Russian Federation and DWI - Leibniz-Institute for Interactive Materials, Forckenbeckstraße 50, D-52056 Aachen, Germany
| | - Pia Lenssen
- Institute of Physical Chemistry, RWTH Aachen University, Landoltweg 2, D-52056 Aachen, Germany.
| | - Ulrich Simon
- Institute of Inorganic Chemistry, RWTH Aachen University, Landoltweg 1 a, D-52056 Aachen, Germany
| | - Igor I Potemkin
- Physics Department, Lomonosov Moscow State University, Leninskie Gory 1-2, Moscow 119991, Russian Federation and DWI - Leibniz-Institute for Interactive Materials, Forckenbeckstraße 50, D-52056 Aachen, Germany and National Research South Ural State University, Chelyabinsk 454080, Russian Federation
| | - Dominik Wöll
- Institute of Physical Chemistry, RWTH Aachen University, Landoltweg 2, D-52056 Aachen, Germany.
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18
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Vahid MR, Hanzon B, Ober RJ. Effect of Pixelation on the Parameter Estimation of Single Molecule Trajectories. IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING 2020; 7:98-113. [PMID: 33604418 PMCID: PMC7879562 DOI: 10.1109/tci.2020.3039951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 08/13/2020] [Accepted: 11/15/2020] [Indexed: 06/12/2023]
Abstract
The advent of single molecule microscopy has revolutionized biological investigations by providing a powerful tool for the study of intercellular and intracellular trafficking processes of protein molecules which was not available before through conventional microscopy. In practice, pixelated detectors are used to acquire the images of fluorescently labeled objects moving in cellular environments. Then, the acquired fluorescence microscopy images contain the numbers of the photons detected in each pixel, during an exposure time interval. Moreover, instead of having the exact locations of detection of the photons, we only know the pixel areas in which the photons impact the detector. These challenges make the analysis of single molecule trajectories, from pixelated images, a complex problem. Here, we investigate the effect of pixelation on the parameter estimation of single molecule trajectories. In particular, we develop a stochastic framework to calculate the maximum likelihood estimates of the parameters of a stochastic differential equation that describes the motion of the molecule in living cells. We also calculate the Fisher information matrix for this parameter estimation problem. The analytical results are complicated through the fact that the observation process in a microscope prohibits the use of standard Kalman filter type approaches. The analytical framework presented here is illustrated with examples of low photon count scenarios for which we rely on Monte Carlo methods to compute the associated probability distributions.
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Affiliation(s)
- Milad R. Vahid
- Department of Biomedical EngineeringTexas A&M UniversityCollege StationTX77843USA
- Department of Biomedical Data ScienceStanford UniversityStanfordCA94305USA
| | - Bernard Hanzon
- Department of MathematicsUniversity College CorkT12YX86CorkIreland
| | - Raimund J. Ober
- Centre for Cancer ImmunologyFaculty of Medicine, University of SouthamptonSouthamptonSO16 6YDU.K.
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19
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Calabrase W, Bishop LDC, Dutta C, Misiura A, Landes CF, Kisley L. Transforming Separation Science with Single-Molecule Methods. Anal Chem 2020; 92:13622-13629. [PMID: 32936608 DOI: 10.1021/acs.analchem.0c02572] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Empirical optimization of the multiscale parameters underlying chromatographic and membrane separations leads to enormous resource waste and production costs. A bottom-up approach to understand the physical phenomena underlying challenges in separations is possible with single-molecule observations of solute-stationary phase interactions. We outline single-molecule fluorescence techniques that can identify key interactions under ambient conditions. Next, we describe how studying increasingly complex samples heightens the relevance of single-molecule results to industrial applications. Finally, we illustrate how separation methods that have not been studied at the single-molecule scale can be advanced, using chiral chromatography as an example case. We hope new research directions based on a molecular approach to separations will emerge based on the ideas, technologies, and open scientific questions presented in this Perspective.
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Affiliation(s)
- William Calabrase
- Department of Physics, Case Western Reserve University, Cleveland, Ohio 44106, United States
| | - Logan D C Bishop
- Department of Chemistry, Rice University, Houston, Texas 77251, United States
| | - Chayan Dutta
- Department of Chemistry, Rice University, Houston, Texas 77251, United States
| | - Anastasiia Misiura
- Department of Chemistry, Rice University, Houston, Texas 77251, United States
| | - Christy F Landes
- Department of Chemistry, Rice University, Houston, Texas 77251, United States.,Department of Electrical and Computer Engineering, Rice University, Houston, Texas 77251, United States.,Department of Chemical and Biomolecular Engineering, Rice University, Houston, Texas 77251, United States.,Smalley-Curl Institute, Rice University, Houston, Texas 77251, United States
| | - Lydia Kisley
- Department of Physics, Case Western Reserve University, Cleveland, Ohio 44106, United States.,Department of Chemistry, Case Western Reserve University, Cleveland, Ohio 44106, United States
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20
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Louis B, Camacho R, Bresolí-Obach R, Abakumov S, Vandaele J, Kudo T, Masuhara H, Scheblykin IG, Hofkens J, Rocha S. Fast-tracking of single emitters in large volumes with nanometer precision. OPTICS EXPRESS 2020; 28:28656-28671. [PMID: 32988132 DOI: 10.1364/oe.401557] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 08/31/2020] [Indexed: 06/11/2023]
Abstract
Multifocal plane microscopy allows for capturing images at different focal planes simultaneously. Using a proprietary prism which splits the emitted light into paths of different lengths, images at 8 different focal depths were obtained, covering a volume of 50x50x4 µm3. The position of single emitters was retrieved using a phasor-based approach across the different imaging planes, with better than 10 nm precision in the axial direction. We validated the accuracy of this approach by tracking fluorescent beads in 3D to calculate water viscosity. The fast acquisition rate (>100 fps) also enabled us to follow the capturing of 0.2 µm fluorescent beads into an optical trap.
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21
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Zhong Y, Wang G. Three-Dimensional Single Particle Tracking and Its Applications in Confined Environments. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2020; 13:381-403. [PMID: 32097571 DOI: 10.1146/annurev-anchem-091819-100409] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Single particle tracking (SPT) has proven to be a powerful technique in studying molecular dynamics in complicated systems. We review its recent development, including three-dimensional (3D) SPT and its applications in probing nanostructures and molecule-surface interactions that are important to analytical chemical processes. Several frequently used 3D SPT techniques are introduced. Especially of interest are those based on point spread function engineering, which are simple in instrumentation and can be easily adapted and used in analytical labs. Corresponding data analysis methods are briefly discussed. We present several important case studies, with a focus on probing mass transport and molecule-surface interactions in confined environments. The presented studies demonstrate the great potential of 3D SPT for understanding fundamental phenomena in confined space, which will enable us to predict basic principles involved in chemical recognition, separation, and analysis, and to optimize mass transport and responses by structural design and optimization.
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Affiliation(s)
- Yaning Zhong
- Department of Chemistry, North Carolina State University, Raleigh, North Carolina 27695, USA;
| | - Gufeng Wang
- Department of Chemistry, North Carolina State University, Raleigh, North Carolina 27695, USA;
- Department of Chemistry, Georgia State University, Atlanta, Georgia 30303, USA
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22
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Wang Z, Cai Y, Qian J, Zhao T, Liang Y, Dan D, Lei M, Yao B. Hybrid multifocal structured illumination microscopy with enhanced lateral resolution and axial localization capability. BIOMEDICAL OPTICS EXPRESS 2020; 11:3058-3070. [PMID: 32637241 PMCID: PMC7316024 DOI: 10.1364/boe.391024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 05/02/2020] [Accepted: 05/04/2020] [Indexed: 06/11/2023]
Abstract
Super-resolution (SR) fluorescence microscopy that breaks through the diffraction barrier has drawn great interest in biomedical research. However, obtaining a high precision three-dimensional distribution of the specimen in a short time still remains a challenging task for existing techniques. In this paper, we propose a super-resolution fluorescence microscopy with axial localization capability by combining multifocal structured illumination microscopy with a hybrid detection PSF composed of a Gaussian PSF and a double-helix PSF. A modified reconstruction scheme is presented to accommodate the new hybrid PSF. This method can not only recover the lateral super-resolution image of the specimen but also retain the specimen's depth map within a range of 600 nm with an axial localization precision of 20.8 nm. The performance of this approach is verified by testing fluorescent beads and tubulin in 293-cells. The developed microscope is well suited for observing the precise 3D distribution of thin specimens.
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Affiliation(s)
- Zhaojun Wang
- State Key Laboratory of Transient Optics and Photonics, Xi' an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi' an 710119, China
- Shaanxi Key Laboratory of Quantum Information and Quantum Optoelectronic Devices, School of Science, Xi'an Jiaotong University, Shaanxi 710049, China
- These authors contributed equally to this work
| | - Yanan Cai
- State Key Laboratory of Transient Optics and Photonics, Xi' an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi' an 710119, China
- These authors contributed equally to this work
| | - Jia Qian
- State Key Laboratory of Transient Optics and Photonics, Xi' an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi' an 710119, China
| | - Tianyu Zhao
- State Key Laboratory of Transient Optics and Photonics, Xi' an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi' an 710119, China
| | - Yansheng Liang
- State Key Laboratory of Transient Optics and Photonics, Xi' an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi' an 710119, China
| | - Dan Dan
- State Key Laboratory of Transient Optics and Photonics, Xi' an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi' an 710119, China
| | - Ming Lei
- Shaanxi Key Laboratory of Quantum Information and Quantum Optoelectronic Devices, School of Science, Xi'an Jiaotong University, Shaanxi 710049, China
| | - Baoli Yao
- State Key Laboratory of Transient Optics and Photonics, Xi' an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi' an 710119, China
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23
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Jiang S, Zhao J, Förster R, Weidlich S, Plidschun M, Kobelke J, Fatobene Ando R, Schmidt MA. Three dimensional spatiotemporal nano-scale position retrieval of the confined diffusion of nano-objects inside optofluidic microstructured fibers. NANOSCALE 2020; 12:3146-3156. [PMID: 31967162 DOI: 10.1039/c9nr10351a] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Understanding the dynamics of single nano-scale species at high spatiotemporal resolution is of utmost importance within fields such as bioanalytics or microrheology. Here we introduce the concept of axial position retrieval via scattered light at evanescent fields inside a corralled geometry using optofluidic microstructured optical fibers allowing to unlock information about diffusing nano-scale objects in all three spatial dimensions at kHz acquisition rate for several seconds. Our method yields the lateral positions by localizing the particle in a wide-field microscopy image. In addition, the axial position is retrieved via the scattered light intensity of the particle, as a result of the homogenized evanescent fields inside a microchannel running parallel to an optical core. This method yields spatial localization accuracies <3 nm along the transverse and <21 nm along the retrieved directions. Due to its unique properties such as three dimensional tracking, straightforward operation, mechanical flexibility, strong confinement, fast and efficient data recording, long observation times, low background scattering, and compatibility with microscopy and fiber circuitry, our concept represents a new paradigm in light-based nanoscale detection techniques, extending the capabilities of the field of nanoparticle tracking analysis and potentially allowing for the observation of so far inaccessible processes at the nanoscale level.
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Affiliation(s)
- Shiqi Jiang
- Leibniz Institute of Photonic Technology, Albert-Einstein-Str. 9, 07745 Jena, Germany.
| | - Jiangbo Zhao
- Leibniz Institute of Photonic Technology, Albert-Einstein-Str. 9, 07745 Jena, Germany.
| | - Ronny Förster
- Leibniz Institute of Photonic Technology, Albert-Einstein-Str. 9, 07745 Jena, Germany.
| | - Stefan Weidlich
- Leibniz Institute of Photonic Technology, Albert-Einstein-Str. 9, 07745 Jena, Germany.
| | - Malte Plidschun
- Leibniz Institute of Photonic Technology, Albert-Einstein-Str. 9, 07745 Jena, Germany.
| | - Jens Kobelke
- Leibniz Institute of Photonic Technology, Albert-Einstein-Str. 9, 07745 Jena, Germany.
| | - Ron Fatobene Ando
- Leibniz Institute of Photonic Technology, Albert-Einstein-Str. 9, 07745 Jena, Germany.
| | - Markus A Schmidt
- Leibniz Institute of Photonic Technology, Albert-Einstein-Str. 9, 07745 Jena, Germany. and Otto Schott Institute of Materials Research (OSIM), Friedrich Schiller University Jena, Fraunhoferstr. 6, 07743 Jena, Germany and Abbe Center of Photonics and Faculty of Physics, Friedrich-Schiller-University Jena, Max-Wien-Platz 1, 07743 Jena, Germany
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24
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Liu SL, Wang ZG, Xie HY, Liu AA, Lamb DC, Pang DW. Single-Virus Tracking: From Imaging Methodologies to Virological Applications. Chem Rev 2020; 120:1936-1979. [PMID: 31951121 PMCID: PMC7075663 DOI: 10.1021/acs.chemrev.9b00692] [Citation(s) in RCA: 100] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
![]()
Uncovering
the mechanisms of virus infection and assembly is crucial
for preventing the spread of viruses and treating viral disease. The
technique of single-virus tracking (SVT), also known as single-virus
tracing, allows one to follow individual viruses at different parts
of their life cycle and thereby provides dynamic insights into fundamental
processes of viruses occurring in live cells. SVT is typically based
on fluorescence imaging and reveals insights into previously unreported
infection mechanisms. In this review article, we provide the readers
a broad overview of the SVT technique. We first summarize recent advances
in SVT, from the choice of fluorescent labels and labeling strategies
to imaging implementation and analytical methodologies. We then describe
representative applications in detail to elucidate how SVT serves
as a valuable tool in virological research. Finally, we present our
perspectives regarding the future possibilities and challenges of
SVT.
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Affiliation(s)
- Shu-Lin Liu
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Biosensing and Molecular Recognition, Research Center for Analytical Sciences, College of Chemistry, and School of Medicine , Nankai University , Tianjin 300071 , P. R. China.,Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry , China University of Geosciences , Wuhan 430074 , P. R. China
| | - Zhi-Gang Wang
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Biosensing and Molecular Recognition, Research Center for Analytical Sciences, College of Chemistry, and School of Medicine , Nankai University , Tianjin 300071 , P. R. China
| | - Hai-Yan Xie
- School of Life Science , Beijing Institute of Technology , Beijing 100081 , P. R. China
| | - An-An Liu
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Biosensing and Molecular Recognition, Research Center for Analytical Sciences, College of Chemistry, and School of Medicine , Nankai University , Tianjin 300071 , P. R. China
| | - Don C Lamb
- Physical Chemistry, Department of Chemistry, Center for Nanoscience (CeNS), and Center for Integrated Protein Science Munich (CIPSM) and Nanosystems Initiative Munich (NIM) , Ludwig-Maximilians-Universität , München , 81377 , Germany
| | - Dai-Wen Pang
- State Key Laboratory of Medicinal Chemical Biology, Tianjin Key Laboratory of Biosensing and Molecular Recognition, Research Center for Analytical Sciences, College of Chemistry, and School of Medicine , Nankai University , Tianjin 300071 , P. R. China.,College of Chemistry and Molecular Sciences, State Key Laboratory of Virology, The Institute for Advanced Studies, and Wuhan Institute of Biotechnology , Wuhan University , Wuhan 430072 , P. R. China
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25
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Hoppe Alvarez L, Eisold S, Gumerov RA, Strauch M, Rudov AA, Lenssen P, Merhof D, Potemkin II, Simon U, Wöll D. Deformation of Microgels at Solid-Liquid Interfaces Visualized in Three-Dimension. NANO LETTERS 2019; 19:8862-8867. [PMID: 31642321 DOI: 10.1021/acs.nanolett.9b03688] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Solid-liquid interfaces play an important role for functional devices. Hence, a detailed understanding of the interaction of soft matter objects with solid supports and of the often concomitant structural deformations is of great importance. We address this topic in a combined experimental and simulation approach. We investigated thermoresponsive poly(N-isopropylmethacrylamide) microgels (μGs) at different surfaces in an aqueous environment. As super-resolution fluorescence imaging method, three-dimensional direct stochastical optical reconstruction microscopy (dSTORM) allowed for visualizing μGs in their three-dimensional (3D) shape, for example, in a "fried-egg" conformation depending on the hydrophilicity of the surface (strength of adsorption). The 3D shape, as defined by point clouds obtained from single-molecule localizations, was analyzed. A new fitting algorithm yielded an isosurface of constant density which defines the deformation of μGs at the different surfaces. The presented methodology quantifies deformation of objects with fuzzy surfaces and allows for comparison of their structures, whereby it is completely independent from the data acquisition method. Finally, the experimental data are complemented with mesoscopic computer simulations in order to (i) rationalize the experimental results and (ii) to track the evolution of the shape with changing surface hydrophilicity; a good correlation of the shapes obtained experimentally and with computer simulations was found.
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Affiliation(s)
- Laura Hoppe Alvarez
- Institute of Physical Chemistry , RWTH Aachen University , Landoltweg 2 , D-52056 Aachen , Germany
| | - Sabine Eisold
- Institute of Inorganic Chemistry , RWTH Aachen University , Landoltweg 1 a , D-52056 Aachen , Germany
| | - Rustam A Gumerov
- Physics Department , Lomonosov Moscow State University , Leninskie Gory 1-2 , Moscow 119991 , Russian Federation
- DWI - Leibniz-Institute for Interactive Materials , Forckenbeckstraße 50 , D-52056 Aachen , Germany
| | - Martin Strauch
- Institute of Imaging and Computer Vision , RWTH Aachen University , Kopernikusstraße 16 , 52074 Aachen , Germany
| | - Andrey A Rudov
- Physics Department , Lomonosov Moscow State University , Leninskie Gory 1-2 , Moscow 119991 , Russian Federation
- DWI - Leibniz-Institute for Interactive Materials , Forckenbeckstraße 50 , D-52056 Aachen , Germany
| | - Pia Lenssen
- Institute of Physical Chemistry , RWTH Aachen University , Landoltweg 2 , D-52056 Aachen , Germany
| | - Dorit Merhof
- Institute of Imaging and Computer Vision , RWTH Aachen University , Kopernikusstraße 16 , 52074 Aachen , Germany
| | - Igor I Potemkin
- Physics Department , Lomonosov Moscow State University , Leninskie Gory 1-2 , Moscow 119991 , Russian Federation
- DWI - Leibniz-Institute for Interactive Materials , Forckenbeckstraße 50 , D-52056 Aachen , Germany
- National Research South Ural State University , Chelyabinsk 454080 , Russian Federation
| | - Ulrich Simon
- Institute of Inorganic Chemistry , RWTH Aachen University , Landoltweg 1 a , D-52056 Aachen , Germany
| | - Dominik Wöll
- Institute of Physical Chemistry , RWTH Aachen University , Landoltweg 2 , D-52056 Aachen , Germany
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26
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Yan T, Richardson CJ, Zhang M, Gahlmann A. Computational correction of spatially variant optical aberrations in 3D single-molecule localization microscopy. OPTICS EXPRESS 2019; 27:12582-12599. [PMID: 31052798 DOI: 10.1364/oe.27.012582] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Accepted: 04/03/2019] [Indexed: 05/20/2023]
Abstract
3D single-molecule localization microscopy relies on fitting the shape of point-spread-functions (PSFs) recorded on a wide-field detector. However, optical aberrations distort those shapes, which compromises the accuracy and precision of single-molecule localization microscopy. Here, we employ a computational phase retrieval based on a vectorial PSF model to quantify the spatial variance of optical aberrations in a two-channel ultrawide-field single-molecule localization microscope. The use of a spatially variant PSF model enables accurate and precise emitter localization in x-, y- and z-directions throughout the entire field of view.
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27
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Rocha J, Corbitt J, Yan T, Richardson C, Gahlmann A. Resolving Cytosolic Diffusive States in Bacteria by Single-Molecule Tracking. Biophys J 2019; 116:1970-1983. [PMID: 31030884 DOI: 10.1016/j.bpj.2019.03.039] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Revised: 03/13/2019] [Accepted: 03/25/2019] [Indexed: 12/12/2022] Open
Abstract
The trajectory of a single protein in the cytosol of a living cell contains information about its molecular interactions in its native environment. However, it has remained challenging to accurately resolve and characterize the diffusive states that can manifest in the cytosol using analytical approaches based on simplifying assumptions. Here, we show that multiple intracellular diffusive states can be successfully resolved if sufficient single-molecule trajectory information is available to generate well-sampled distributions of experimental measurements and if experimental biases are taken into account during data analysis. To address the inherent experimental biases in camera-based and MINFLUX-based single-molecule tracking, we use an empirical data analysis framework based on Monte Carlo simulations of confined Brownian motion. This framework is general and adaptable to arbitrary cell geometries and data acquisition parameters employed in two-dimensional or three-dimensional single-molecule tracking. We show that, in addition to determining the diffusion coefficients and populations of prevalent diffusive states, the timescales of diffusive state switching can be determined by stepwise increasing the time window of averaging over subsequent single-molecule displacements. Time-averaged diffusion analysis of single-molecule tracking data may thus provide quantitative insights into binding and unbinding reactions among rapidly diffusing molecules that are integral for cellular functions.
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Affiliation(s)
- Julian Rocha
- Department of Chemistry, University of Virginia, Charlottesville, Virginia
| | - Jacqueline Corbitt
- Department of Chemistry, University of Virginia, Charlottesville, Virginia
| | - Ting Yan
- Department of Chemistry, University of Virginia, Charlottesville, Virginia
| | - Charles Richardson
- Department of Chemistry, University of Virginia, Charlottesville, Virginia
| | - Andreas Gahlmann
- Department of Chemistry, University of Virginia, Charlottesville, Virginia; Department of Molecular Physiology & Biological Physics, University of Virginia School of Medicine, Charlottesville, Virginia.
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28
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Yoon J, Comerci CJ, Weiss LE, Milenkovic L, Stearns T, Moerner WE. Revealing Nanoscale Morphology of the Primary Cilium Using Super-Resolution Fluorescence Microscopy. Biophys J 2018; 116:319-329. [PMID: 30598282 PMCID: PMC6349968 DOI: 10.1016/j.bpj.2018.11.3136] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Revised: 11/20/2018] [Accepted: 11/28/2018] [Indexed: 12/28/2022] Open
Abstract
Super-resolution (SR) microscopy has been used to observe structural details beyond the diffraction limit of ∼250 nm in a variety of biological and materials systems. By combining this imaging technique with both computer-vision algorithms and topological methods, we reveal and quantify the nanoscale morphology of the primary cilium, a tiny tubular cellular structure (∼2-6 μm long and 200-300 nm in diameter). The cilium in mammalian cells protrudes out of the plasma membrane and is important in many signaling processes related to cellular differentiation and disease. After tagging individual ciliary transmembrane proteins, specifically Smoothened, with single fluorescent labels in fixed cells, we use three-dimensional (3D) single-molecule SR microscopy to determine their positions with a precision of 10-25 nm. We gain a dense, pointillistic reconstruction of the surfaces of many cilia, revealing large heterogeneity in membrane shape. A Poisson surface reconstruction algorithm generates a fine surface mesh, allowing us to characterize the presence of deformations by quantifying the surface curvature. Upon impairment of intracellular cargo transport machinery by genetic knockout or small-molecule treatment of cells, our quantitative curvature analysis shows significant morphological differences not visible by conventional fluorescence microscopy techniques. Furthermore, using a complementary SR technique, two-color, two-dimensional stimulated emission depletion microscopy, we find that the cytoskeleton in the cilium, the axoneme, also exhibits abnormal morphology in the mutant cells, similar to our 3D results on the Smoothened-measured ciliary surface. Our work combines 3D SR microscopy and computational tools to quantitatively characterize morphological changes of the primary cilium under different treatments and uses stimulated emission depletion to discover correlated changes in the underlying structure. This approach can be useful for studying other biological or nanoscale structures of interest.
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Affiliation(s)
- Joshua Yoon
- Department of Applied Physics, Stanford University, Stanford, California; Department of Chemistry, Stanford University, Stanford, California
| | - Colin J Comerci
- Biophysics Program, Stanford University, Stanford, California
| | - Lucien E Weiss
- Department of Chemistry, Stanford University, Stanford, California
| | | | - Tim Stearns
- Department of Biology, Stanford University, Stanford, California
| | - W E Moerner
- Department of Applied Physics, Stanford University, Stanford, California; Department of Chemistry, Stanford University, Stanford, California.
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29
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Kovtun O, Tomlinson ID, Bailey DM, Thal LB, Ross EJ, Harris L, Frankland MP, Ferguson RS, Glaser Z, Greer J, Rosenthal SJ. Single Quantum Dot Tracking Illuminates Neuroscience at the Nanoscale. Chem Phys Lett 2018; 706:741-752. [PMID: 30270931 PMCID: PMC6157616 DOI: 10.1016/j.cplett.2018.06.019] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The use of nanometer-sized semiconductor crystals, known as quantum dots, allows us to directly observe individual biomolecular transactions through a fluorescence microscope. Here, we review the evolution of single quantum dot tracking over the past two decades, highlight key biophysical discoveries facilitated by quantum dots, briefly discuss biochemical and optical implementation strategies for a single quantum dot tracking experiment, and report recent accomplishments of our group at the interface of molecular neuroscience and nanoscience.
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Affiliation(s)
- Oleg Kovtun
- Departments of Chemistry, Chemical Biology, Vanderbilt University
- Departments of Vanderbilt Institute of Nanoscale Science and Engineering
| | - Ian D. Tomlinson
- Departments of Chemistry, Chemical Biology, Vanderbilt University
- Departments of Vanderbilt Institute of Nanoscale Science and Engineering
| | - Danielle M. Bailey
- Departments of Chemistry, Chemical Biology, Vanderbilt University
- Departments of Pharmacology, Chemical Biology, Vanderbilt University
- Departments of Vanderbilt Institute of Nanoscale Science and Engineering
| | - Lucas B. Thal
- Departments of Chemistry, Chemical Biology, Vanderbilt University
- Departments of Vanderbilt Institute of Nanoscale Science and Engineering
- Departments of Vanderbilt Institute of Chemical Biology, Vanderbilt University, Nashville, TN
| | - Emily J. Ross
- Departments of Hudson Alpha Institute for Biotechnology, Huntsville, AL
| | - Lauren Harris
- Departments of Vanderbilt Institute of Chemical Biology, Vanderbilt University, Nashville, TN
| | | | | | - Zachary Glaser
- Departments of Chemistry, Chemical Biology, Vanderbilt University
| | - Jonathan Greer
- Departments of Chemistry, Chemical Biology, Vanderbilt University
| | - Sandra J. Rosenthal
- Departments of Chemistry, Chemical Biology, Vanderbilt University
- Departments of Pharmacology, Chemical Biology, Vanderbilt University
- Departments of Chemical and Biomolecular Engineering, Chemical Biology, Vanderbilt University
- Departments of Physics and Astronomy, Chemical Biology, Vanderbilt University
- Departments of Vanderbilt Institute of Nanoscale Science and Engineering
- Departments of Vanderbilt Institute of Chemical Biology, Vanderbilt University, Nashville, TN
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30
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Gustavsson AK, Petrov PN, Moerner WE. Light sheet approaches for improved precision in 3D localization-based super-resolution imaging in mammalian cells [Invited]. OPTICS EXPRESS 2018; 26:13122-13147. [PMID: 29801343 PMCID: PMC6005674 DOI: 10.1364/oe.26.013122] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Accepted: 03/30/2018] [Indexed: 05/08/2023]
Abstract
The development of imaging techniques beyond the diffraction limit has paved the way for detailed studies of nanostructures and molecular mechanisms in biological systems. Imaging thicker samples, such as mammalian cells and tissue, in all three dimensions, is challenging due to increased background and volumes to image. Light sheet illumination is a method that allows for selective irradiation of the image plane, and its inherent optical sectioning capability allows for imaging of biological samples with reduced background, photobleaching, and photodamage. In this review, we discuss the advantage of combining single-molecule imaging with light sheet illumination. We begin by describing the principles of single-molecule localization microscopy and of light sheet illumination. Finally, we present examples of designs that successfully have married single-molecule super-resolution imaging with light sheet illumination for improved precision in mammalian cells.
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31
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Keller AM, DeVore MS, Stich DG, Vu DM, Causgrove T, Werner JH. Multicolor Three-Dimensional Tracking for Single-Molecule Fluorescence Resonance Energy Transfer Measurements. Anal Chem 2018; 90:6109-6115. [DOI: 10.1021/acs.analchem.8b00244] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Affiliation(s)
- Aaron M. Keller
- Department of Chemistry, William Jewell College, Liberty, Missouri 64068, United States
| | - Matthew S. DeVore
- Department of Natural & Applied Sciences, Evangel University, Springfield, Missouri 65802, United States
| | - Dominik G. Stich
- Anschutz Medical Campus, University of Colorado Denver, Aurora, Colorado 80045, United States
| | - Dung M. Vu
- Physical Chemistry & Applied Spectroscopy, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States
| | - Timothy Causgrove
- Department of Physical & Environmental Sciences, Texas A&M University—Corpus Christi, Corpus Christi, Texas 78412, United States
| | - James H. Werner
- Center for Integrated Nanotechnologies, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States
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32
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Gustavsson AK, Petrov PN, Lee MY, Shechtman Y, Moerner WE. Tilted Light Sheet Microscopy with 3D Point Spread Functions for Single-Molecule Super-Resolution Imaging in Mammalian Cells. PROCEEDINGS OF SPIE--THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING 2018; 10500:105000M. [PMID: 29681676 PMCID: PMC5906058 DOI: 10.1117/12.2288443] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
To obtain a complete picture of subcellular nanostructures, cells must be imaged with high resolution in all three dimensions (3D). Here, we present tilted light sheet microscopy with 3D point spread functions (TILT3D), an imaging platform that combines a novel, tilted light sheet illumination strategy with engineered long axial range point spread functions (PSFs) for low-background, 3D super localization of single molecules as well as 3D super-resolution imaging in thick cells. TILT3D is built upon a standard inverted microscope and has minimal custom parts. The axial positions of the single molecules are encoded in the shape of the PSF rather than in the position or thickness of the light sheet, and the light sheet can therefore be formed using simple optics. The result is flexible and user-friendly 3D super-resolution imaging with tens of nm localization precision throughout thick mammalian cells. We validated TILT3D for 3D super-resolution imaging in mammalian cells by imaging mitochondria and the full nuclear lamina using the double-helix PSF for single-molecule detection and the recently developed Tetrapod PSF for fiducial bead tracking and live axial drift correction. We envision TILT3D to become an important tool not only for 3D super-resolution imaging, but also for live whole-cell single-particle and single-molecule tracking.
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Affiliation(s)
- Anna-Karin Gustavsson
- Dept. of Chemistry, Stanford University, 375 North-South Axis, Stanford, CA, USA 94305-4401
- Dept. of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden 17111
| | - Petar N. Petrov
- Dept. of Chemistry, Stanford University, 375 North-South Axis, Stanford, CA, USA 94305-4401
| | - Maurice Y. Lee
- Dept. of Chemistry, Stanford University, 375 North-South Axis, Stanford, CA, USA 94305-4401
- Biophysics Program, Stanford University, 375 North-South Axis, Stanford, CA, USA 94305-4401
| | - Yoav Shechtman
- Dept. of Chemistry, Stanford University, 375 North-South Axis, Stanford, CA, USA 94305-4401
| | - W. E. Moerner
- Dept. of Chemistry, Stanford University, 375 North-South Axis, Stanford, CA, USA 94305-4401
- Biophysics Program, Stanford University, 375 North-South Axis, Stanford, CA, USA 94305-4401
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33
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Gustavsson AK, Petrov PN, Lee MY, Shechtman Y, Moerner WE. 3D single-molecule super-resolution microscopy with a tilted light sheet. Nat Commun 2018; 9:123. [PMID: 29317629 PMCID: PMC5760554 DOI: 10.1038/s41467-017-02563-4] [Citation(s) in RCA: 99] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Accepted: 12/11/2017] [Indexed: 12/24/2022] Open
Abstract
Tilted light sheet microscopy with 3D point spread functions (TILT3D) combines a novel, tilted light sheet illumination strategy with long axial range point spread functions (PSFs) for low-background, 3D super-localization of single molecules as well as 3D super-resolution imaging in thick cells. Because the axial positions of the single emitters are encoded in the shape of each single-molecule image rather than in the position or thickness of the light sheet, the light sheet need not be extremely thin. TILT3D is built upon a standard inverted microscope and has minimal custom parts. The result is simple and flexible 3D super-resolution imaging with tens of nm localization precision throughout thick mammalian cells. We validate TILT3D for 3D super-resolution imaging in mammalian cells by imaging mitochondria and the full nuclear lamina using the double-helix PSF for single-molecule detection and the recently developed tetrapod PSFs for fiducial bead tracking and live axial drift correction.
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Affiliation(s)
- Anna-Karin Gustavsson
- Department of Chemistry, Stanford University, Stanford, CA, 94305, USA.,Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, SE-17177, Sweden
| | - Petar N Petrov
- Department of Chemistry, Stanford University, Stanford, CA, 94305, USA
| | - Maurice Y Lee
- Department of Chemistry, Stanford University, Stanford, CA, 94305, USA.,Biophysics Program, Stanford University, Stanford, CA, 94305, USA
| | - Yoav Shechtman
- Department of Chemistry, Stanford University, Stanford, CA, 94305, USA.,Biomedical Engineering Department, Technion, Israel Institute of Technology, Haifa, 3200003, Israel
| | - W E Moerner
- Department of Chemistry, Stanford University, Stanford, CA, 94305, USA. .,Biophysics Program, Stanford University, Stanford, CA, 94305, USA.
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34
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Rocha JM, Richardson CJ, Zhang M, Darch CM, Cai E, Diepold A, Gahlmann A. Single-molecule tracking in liveYersinia enterocoliticareveals distinct cytosolic complexes of injectisome subunits. Integr Biol (Camb) 2018; 10:502-515. [DOI: 10.1039/c8ib00075a] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Single-molecule tracking of bound (blue trajectories) and diffusive (red trajectories) injectisome subunits reveals the formation of distinct cytosolic complexes.
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Affiliation(s)
| | | | - Mingxing Zhang
- Department of Chemistry, University of Virginia
- Charlottesville
- USA
| | | | - Eugene Cai
- Department of Chemistry, University of Virginia
- Charlottesville
- USA
| | - Andreas Diepold
- Department of Ecophysiology
- Max Planck Institute for Terrestrial Microbiology
- Marburg
- Germany
| | - Andreas Gahlmann
- Department of Chemistry, University of Virginia
- Charlottesville
- USA
- Department of Molecular Physiology & Biological Physics, University of Virginia School of Medicine
- Charlottesville
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35
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Abstract
Here, we describe protocols for three-dimensional tracking of single quantum dot-conjugated molecules with nanometer accuracy in living cells using conventional fluorescence microscopy. The technique exploits out-of-focus images of single emitters combined with an automated pattern-recognition open-source software that fits the images with proper model functions to extract the emitter coordinates. We describe protocols for targeting quantum dots to both membrane components and cytosolic proteins.
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36
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Cai Y, Schwartz DK. Mapping the Functional Tortuosity and Spatiotemporal Heterogeneity of Porous Polymer Membranes with Super-Resolution Nanoparticle Tracking. ACS APPLIED MATERIALS & INTERFACES 2017; 9:43258-43266. [PMID: 29161008 DOI: 10.1021/acsami.7b15335] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
As particles flow through porous media, they follow complex pathways and experience heterogeneous environments that are challenging to characterize. Tortuosity is often used as a parameter to characterize the complexity of pathways in porous materials and is useful in understanding hindered mass transport in industrial filtration and mass separation processes. However, conventional calculations of tortuosity provide only average values under static conditions; they are insensitive to the intrinsic heterogeneity of porous media and do not account for potential effects of operating conditions. Here, we employ a high-throughput nanoparticle tracking method which enables the observation of actual particle trajectories in polymer membranes under relevant operating conditions. Our results indicate that tortuosity is not simply a structural material property but is instead a functional property that depends on flow rate and particle size. We also resolved the spatiotemporal heterogeneity of flowing particles in these porous media. The distributions of tortuosity and of local residence/retention times were surprisingly broad, exhibiting heavy tails representing a population of highly tortuous trajectories and local regions with anomalously long residence times. Interestingly, local tortuosity and residence times were directly correlated, suggesting the presence of highly confining regions that cause more meandering trajectories and longer retention times. The comprehensive information about tortuosity and spatiotemporal heterogeneity provided by these methods will advance the understanding of complex mass transport and assist rational design and synthesis of porous materials.
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Affiliation(s)
- Yu Cai
- Department of Chemical and Biological Engineering, University of Colorado Boulder , 596 UCB, Boulder, Colorado 80309-0596, United States
| | - Daniel K Schwartz
- Department of Chemical and Biological Engineering, University of Colorado Boulder , 596 UCB, Boulder, Colorado 80309-0596, United States
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37
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Yu Y, Sundaresan V, Bandyopadhyay S, Zhang Y, Edwards MA, McKelvey K, White HS, Willets KA. Three-Dimensional Super-resolution Imaging of Single Nanoparticles Delivered by Pipettes. ACS NANO 2017; 11:10529-10538. [PMID: 28968077 DOI: 10.1021/acsnano.7b05902] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
Controlled three-dimensional positioning of nanoparticles is achieved by delivering single fluorescent nanoparticles from a nanopipette and capturing them at well-defined regions of an electrified substrate. To control the position of single nanoparticles, the force of the pressure-driven flow from the pipette is balanced by the attractive electrostatic force at the substrate, providing a strategy by which nanoparticle trajectories can be manipulated in real time. To visualize nanoparticle motion, a resistive-pulse electrochemical setup is coupled with an optical microscope, and nanoparticle trajectories are tracked in three dimensions using super-resolution fluorescence imaging to obtain positional information with precision in the tens of nanometers. As the particles approach the substrate, the diffusion kinetics are analyzed and reveal either subdiffusive (hindered) or superdiffusive (directed) motion depending on the electric field at the substrate and the pressure-driven flow from the pipette. By balancing the effects of the forces exerted on the particle by the pressure and electric fields, controlled, real-time manipulation of single nanoparticle trajectories is achieved. The developed approach has implications for a variety of applications such as surface patterning and drug delivery using colloidal nanoparticles.
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Affiliation(s)
- Yun Yu
- Department of Chemistry, Temple University , Philadelphia, Pennsylvania 19122, United States
| | - Vignesh Sundaresan
- Department of Chemistry, Temple University , Philadelphia, Pennsylvania 19122, United States
| | | | - Yulun Zhang
- Department of Chemistry, University of Utah , Salt Lake City, Utah 84112, United States
| | - Martin A Edwards
- Department of Chemistry, University of Utah , Salt Lake City, Utah 84112, United States
| | - Kim McKelvey
- Department of Chemistry, University of Utah , Salt Lake City, Utah 84112, United States
| | - Henry S White
- Department of Chemistry, University of Utah , Salt Lake City, Utah 84112, United States
| | - Katherine A Willets
- Department of Chemistry, Temple University , Philadelphia, Pennsylvania 19122, United States
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38
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Shen H, Tauzin LJ, Baiyasi R, Wang W, Moringo N, Shuang B, Landes CF. Single Particle Tracking: From Theory to Biophysical Applications. Chem Rev 2017; 117:7331-7376. [PMID: 28520419 DOI: 10.1021/acs.chemrev.6b00815] [Citation(s) in RCA: 259] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
After three decades of developments, single particle tracking (SPT) has become a powerful tool to interrogate dynamics in a range of materials including live cells and novel catalytic supports because of its ability to reveal dynamics in the structure-function relationships underlying the heterogeneous nature of such systems. In this review, we summarize the algorithms behind, and practical applications of, SPT. We first cover the theoretical background including particle identification, localization, and trajectory reconstruction. General instrumentation and recent developments to achieve two- and three-dimensional subdiffraction localization and SPT are discussed. We then highlight some applications of SPT to study various biological and synthetic materials systems. Finally, we provide our perspective regarding several directions for future advancements in the theory and application of SPT.
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Affiliation(s)
- Hao Shen
- Department of Chemistry and ‡Department of Electrical and Computer Engineering, §Smalley-Curl Institute, Rice University , Houston, Texas 77251, United States
| | - Lawrence J Tauzin
- Department of Chemistry and ‡Department of Electrical and Computer Engineering, §Smalley-Curl Institute, Rice University , Houston, Texas 77251, United States
| | - Rashad Baiyasi
- Department of Chemistry and ‡Department of Electrical and Computer Engineering, §Smalley-Curl Institute, Rice University , Houston, Texas 77251, United States
| | - Wenxiao Wang
- Department of Chemistry and ‡Department of Electrical and Computer Engineering, §Smalley-Curl Institute, Rice University , Houston, Texas 77251, United States
| | - Nicholas Moringo
- Department of Chemistry and ‡Department of Electrical and Computer Engineering, §Smalley-Curl Institute, Rice University , Houston, Texas 77251, United States
| | - Bo Shuang
- Department of Chemistry and ‡Department of Electrical and Computer Engineering, §Smalley-Curl Institute, Rice University , Houston, Texas 77251, United States
| | - Christy F Landes
- Department of Chemistry and ‡Department of Electrical and Computer Engineering, §Smalley-Curl Institute, Rice University , Houston, Texas 77251, United States
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39
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Carr AR, Ponjavic A, Basu S, McColl J, Santos AM, Davis S, Laue ED, Klenerman D, Lee SF. Three-Dimensional Super-Resolution in Eukaryotic Cells Using the Double-Helix Point Spread Function. Biophys J 2017; 112:1444-1454. [PMID: 28402886 PMCID: PMC5390298 DOI: 10.1016/j.bpj.2017.02.023] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2016] [Revised: 02/07/2017] [Accepted: 02/21/2017] [Indexed: 02/02/2023] Open
Abstract
Single-molecule localization microscopy, typically based on total internal reflection illumination, has taken our understanding of protein organization and dynamics in cells beyond the diffraction limit. However, biological systems exist in a complicated three-dimensional environment, which has required the development of new techniques, including the double-helix point spread function (DHPSF), to accurately visualize biological processes. The application of the DHPSF approach has so far been limited to the study of relatively small prokaryotic cells. By matching the refractive index of the objective lens immersion liquid to that of the sample media, we demonstrate DHPSF imaging of up to 15-μm-thick whole eukaryotic cell volumes in three to five imaging planes. We illustrate the capabilities of the DHPSF by exploring large-scale membrane reorganization in human T cells after receptor triggering, and by using single-particle tracking to image several mammalian proteins, including membrane, cytoplasmic, and nuclear proteins in T cells and embryonic stem cells.
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Affiliation(s)
- Alexander R. Carr
- Department of Chemistry, University of Cambridge, Cambridge, United Kingdom
| | - Aleks Ponjavic
- Department of Chemistry, University of Cambridge, Cambridge, United Kingdom
| | - Srinjan Basu
- Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom
| | - James McColl
- Department of Chemistry, University of Cambridge, Cambridge, United Kingdom
| | - Ana Mafalda Santos
- Radcliffe Department of Clinical Medicine and Medical Research Council Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
| | - Simon Davis
- Radcliffe Department of Clinical Medicine and Medical Research Council Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
| | - Ernest D. Laue
- Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom
| | - David Klenerman
- Department of Chemistry, University of Cambridge, Cambridge, United Kingdom
| | - Steven F. Lee
- Department of Chemistry, University of Cambridge, Cambridge, United Kingdom,Corresponding author
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40
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Lampo TJ, Stylianidou S, Backlund MP, Wiggins PA, Spakowitz AJ. Cytoplasmic RNA-Protein Particles Exhibit Non-Gaussian Subdiffusive Behavior. Biophys J 2017; 112:532-542. [PMID: 28088300 DOI: 10.1016/j.bpj.2016.11.3208] [Citation(s) in RCA: 93] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Revised: 08/31/2016] [Accepted: 11/07/2016] [Indexed: 02/06/2023] Open
Abstract
The cellular cytoplasm is a complex, heterogeneous environment (both spatially and temporally) that exhibits viscoelastic behavior. To further develop our quantitative insight into cellular transport, we analyze data sets of mRNA molecules fluorescently labeled with MS2-GFP tracked in real time in live Escherichia coli and Saccharomyces cerevisiae cells. As shown previously, these RNA-protein particles exhibit subdiffusive behavior that is viscoelastic in its origin. Examining the ensemble of particle displacements reveals a Laplace distribution at all observed timescales rather than the Gaussian distribution predicted by the central limit theorem. This ensemble non-Gaussian behavior is caused by a combination of an exponential distribution in the time-averaged diffusivities and non-Gaussian behavior of individual trajectories. We show that the non-Gaussian behavior is a consequence of significant heterogeneity between trajectories and dynamic heterogeneity along single trajectories. Informed by theory and simulation, our work provides an in-depth analysis of the complex diffusive behavior of RNA-protein particles in live cells.
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Affiliation(s)
- Thomas J Lampo
- Department of Chemical Engineering, Stanford University, Stanford, California
| | | | | | - Paul A Wiggins
- Department of Physics, Washington University, Seattle, Washington; Department of Bioengineering, Washington University, Seattle, Washington; Department of Microbiology, Washington University, Seattle, Washington
| | - Andrew J Spakowitz
- Department of Chemical Engineering, Stanford University, Stanford, California; Department of Applied Physics, Stanford University, Stanford, California; Department of Materials Science, Stanford University, Stanford, California; Biophysics Program, Stanford University, Stanford, California.
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41
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Sundaresan V, Marchuk K, Yu Y, Titus EJ, Wilson AJ, Armstrong CM, Zhang B, Willets KA. Visualizing and Calculating Tip–Substrate Distance in Nanoscale Scanning Electrochemical Microscopy Using 3-Dimensional Super-Resolution Optical Imaging. Anal Chem 2016; 89:922-928. [DOI: 10.1021/acs.analchem.6b04073] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Vignesh Sundaresan
- Department
of Chemistry, Temple University, Philadelphia, Pennsylvania 19122, United States
| | - Kyle Marchuk
- Department
of Chemistry, Temple University, Philadelphia, Pennsylvania 19122, United States
| | - Yun Yu
- Department
of Chemistry, Temple University, Philadelphia, Pennsylvania 19122, United States
| | - Eric J. Titus
- Department
of Chemistry, Temple University, Philadelphia, Pennsylvania 19122, United States
| | - Andrew J. Wilson
- Department
of Chemistry, Temple University, Philadelphia, Pennsylvania 19122, United States
| | - Chadd M. Armstrong
- Department
of Chemistry, University of Washington, Seattle, Washington 98195-1700, United States
| | - Bo Zhang
- Department
of Chemistry, University of Washington, Seattle, Washington 98195-1700, United States
| | - Katherine A. Willets
- Department
of Chemistry, Temple University, Philadelphia, Pennsylvania 19122, United States
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42
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Teich M, Mattern M, Sturm J, Büttner L, Czarske JW. Spiral phase mask shadow-imaging for 3D-measurement of flow fields. OPTICS EXPRESS 2016; 24:27371-27381. [PMID: 27906309 DOI: 10.1364/oe.24.027371] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Particle tracking velocimetry (PTV) is a valuable tool for microfluidic analysis. Especially mixing processes and the environmental interaction of fluids on a microscopic scale are of particular importance for pharmaceutical and biomedical applications. However, currently applied techniques suffer from the lag of instantaneous depth information. Here we present a scan-free, shadow-imaging PTV-technique for 3D trajectory and velocity measurement of flow fields in micro-channels with 2 µm spatial resolution. By using an incoherent light source, one camera and a spatial light modulator (LCoS-SLM) that generates double-images of the seeding particle shadows, it is a simply applicable and highly scalable technique.
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43
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Wang W, Shen H, Shuang B, Hoener BS, Tauzin LJ, Moringo NA, Kelly KF, Landes CF. Super Temporal-Resolved Microscopy (STReM). J Phys Chem Lett 2016; 7:4524-4529. [PMID: 27797527 DOI: 10.1021/acs.jpclett.6b02098] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Super-resolution microscopy typically achieves high spatial resolution, but the temporal resolution remains low. We report super temporal-resolved microscopy (STReM) to improve the temporal resolution of 2D super-resolution microscopy by a factor of 20 compared to that of the traditional camera-limited frame rate. This is achieved by rotating a phase mask in the Fourier plane during data acquisition and then recovering the temporal information by fitting the point spread function (PSF) orientations. The feasibility of this technique is verified with both simulated and experimental 2D adsorption/desorption and 2D emitter transport. When STReM is applied to measure protein adsorption at a glass surface, previously unseen dynamics are revealed.
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Affiliation(s)
- Wenxiao Wang
- Department of Electrical and Computer Engineering, Rice University , MS 366, Houston, Texas 77251-1892, United States
| | - Hao Shen
- Department of Chemistry, Rice University , MS 60, Houston, Texas 77251-1892, United States
| | - Bo Shuang
- Department of Chemistry, Rice University , MS 60, Houston, Texas 77251-1892, United States
| | - Benjamin S Hoener
- Department of Chemistry, Rice University , MS 60, Houston, Texas 77251-1892, United States
| | - Lawrence J Tauzin
- Department of Chemistry, Rice University , MS 60, Houston, Texas 77251-1892, United States
| | - Nicholas A Moringo
- Department of Chemistry, Rice University , MS 60, Houston, Texas 77251-1892, United States
| | - Kevin F Kelly
- Department of Electrical and Computer Engineering, Rice University , MS 366, Houston, Texas 77251-1892, United States
| | - Christy F Landes
- Department of Electrical and Computer Engineering, Rice University , MS 366, Houston, Texas 77251-1892, United States
- Department of Chemistry, Rice University , MS 60, Houston, Texas 77251-1892, United States
- Smalley-Curl Institute, Rice University , Houston, Texas 77251, United States
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Hatakeyama H, Nakahata Y, Yarimizu H, Kanzaki M. Live-cell single-molecule labeling and analysis of myosin motors with quantum dots. Mol Biol Cell 2016; 28:173-181. [PMID: 28035048 PMCID: PMC5221621 DOI: 10.1091/mbc.e16-06-0413] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Revised: 10/28/2016] [Accepted: 11/01/2016] [Indexed: 01/07/2023] Open
Abstract
Quantum dots (QDs) are a powerful tool for quantitative biology, but two challenges are associated with using them to track intracellular molecules in live cells. A simple and convenient method is presented for labeling intracellular molecules by using HaloTag technology and electroporation and is used to successfully track myosins within live cells. Quantum dots (QDs) are a powerful tool for quantitatively analyzing dynamic cellular processes by single-particle tracking. However, tracking of intracellular molecules with QDs is limited by their inability to penetrate the plasma membrane and bind to specific molecules of interest. Although several techniques for overcoming these problems have been proposed, they are either complicated or inconvenient. To address this issue, in this study, we developed a simple, convenient, and nontoxic method for labeling intracellular molecules in cells using HaloTag technology and electroporation. We labeled intracellular myosin motors with this approach and tracked their movement within cells. By simultaneously imaging myosin movement and F-actin architecture, we observed that F-actin serves not only as a rail but also as a barrier for myosin movement. We analyzed the effect of insulin on the movement of several myosin motors, which have been suggested to regulate intracellular trafficking of the insulin-responsive glucose transporter GLUT4, but found no significant enhancement in myosin motor motility as a result of insulin treatment. Our approach expands the repertoire of proteins for which intracellular dynamics can be analyzed at the single-molecule level.
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Affiliation(s)
- Hiroyasu Hatakeyama
- Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, Sendai 980-8579, Japan .,Graduate School of Biomedical Engineering, Tohoku University, Sendai 980-8579, Japan
| | - Yoshihito Nakahata
- Department of Information and Intelligent Systems, Tohoku University, Sendai 980-8579, Japan
| | - Hirokazu Yarimizu
- Department of Information and Intelligent Systems, Tohoku University, Sendai 980-8579, Japan
| | - Makoto Kanzaki
- Graduate School of Biomedical Engineering, Tohoku University, Sendai 980-8579, Japan.,Department of Information and Intelligent Systems, Tohoku University, Sendai 980-8579, Japan
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Sokoll S, Prokazov Y, Hanses M, Biermann B, Tönnies K, Heine M. Fast Three-Dimensional Single-Particle Tracking in Natural Brain Tissue. Biophys J 2016; 109:1463-71. [PMID: 26445447 DOI: 10.1016/j.bpj.2015.07.047] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2015] [Revised: 07/15/2015] [Accepted: 07/31/2015] [Indexed: 11/18/2022] Open
Abstract
Observation of molecular dynamics is often biased by the optical very heterogeneous environment of cells and complex tissue. Here, we have designed an algorithm that facilitates molecular dynamic analyses within brain slices. We adjust fast astigmatism-based three-dimensional single-particle tracking techniques to depth-dependent optical aberrations induced by the refractive index mismatch so that they are applicable to complex samples. In contrast to existing techniques, our online calibration method determines the aberration directly from the acquired two-dimensional image stream by exploiting the inherent particle movement and the redundancy introduced by the astigmatism. The method improves the positioning by reducing the systematic errors introduced by the aberrations, and allows correct derivation of the cellular morphology and molecular diffusion parameters in three dimensions independently of the imaging depth. No additional experimental effort for the user is required. Our method will be useful for many imaging configurations, which allow imaging in deep cellular structures.
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Affiliation(s)
- Stefan Sokoll
- Research Group for Molecular Physiology, Leibniz Institute for Neurobiology, Magdeburg, Germany; Research Group for Image Processing and Pattern Recognition, Otto-von-Guericke University, Magdeburg, Germany
| | - Yury Prokazov
- Special Lab for Electron and Laserscanning Microscopy, Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - Magnus Hanses
- Research Group for Molecular Physiology, Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - Barbara Biermann
- Research Group for Molecular Physiology, Leibniz Institute for Neurobiology, Magdeburg, Germany; Institute of Neural and Sensory Physiology, Medical Faculty, University of Düsseldorf, Germany
| | - Klaus Tönnies
- Research Group for Image Processing and Pattern Recognition, Otto-von-Guericke University, Magdeburg, Germany
| | - Martin Heine
- Research Group for Molecular Physiology, Leibniz Institute for Neurobiology, Magdeburg, Germany.
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Chao J, Ward ES, Ober RJ. Fisher information theory for parameter estimation in single molecule microscopy: tutorial. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA. A, OPTICS, IMAGE SCIENCE, AND VISION 2016; 33:B36-57. [PMID: 27409706 PMCID: PMC4988671 DOI: 10.1364/josaa.33.000b36] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
Estimation of a parameter of interest from image data represents a task that is commonly carried out in single molecule microscopy data analysis. The determination of the positional coordinates of a molecule from its image, for example, forms the basis of standard applications such as single molecule tracking and localization-based super-resolution image reconstruction. Assuming that the estimator used recovers, on average, the true value of the parameter, its accuracy, or standard deviation, is then at best equal to the square root of the Cramér-Rao lower bound. The Cramér-Rao lower bound can therefore be used as a benchmark in the evaluation of the accuracy of an estimator. Additionally, as its value can be computed and assessed for different experimental settings, it is useful as an experimental design tool. This tutorial demonstrates a mathematical framework that has been specifically developed to calculate the Cramér-Rao lower bound for estimation problems in single molecule microscopy and, more broadly, fluorescence microscopy. The material includes a presentation of the photon detection process that underlies all image data, various image data models that describe images acquired with different detector types, and Fisher information expressions that are necessary for the calculation of the lower bound. Throughout the tutorial, examples involving concrete estimation problems are used to illustrate the effects of various factors on the accuracy of parameter estimation and, more generally, to demonstrate the flexibility of the mathematical framework.
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Affiliation(s)
- Jerry Chao
- Department of Biomedical Engineering, Texas A&M University,
College Station, Texas 77843, USA
- Department of Molecular and Cellular Medicine, Texas A&M Health
Science Center, College Station, Texas 77843, USA
| | - E. Sally Ward
- Department of Molecular and Cellular Medicine, Texas A&M Health
Science Center, College Station, Texas 77843, USA
- Department of Microbial Pathogenesis and Immunology, Texas A&M
Health Science Center, College Station, Texas 77843, USA
| | - Raimund J. Ober
- Department of Biomedical Engineering, Texas A&M University,
College Station, Texas 77843, USA
- Department of Molecular and Cellular Medicine, Texas A&M Health
Science Center, College Station, Texas 77843, USA
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Liu C, Liu YL, Perillo EP, Dunn AK, Yeh HC. Single-Molecule Tracking and Its Application in Biomolecular Binding Detection. IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS : A PUBLICATION OF THE IEEE LASERS AND ELECTRO-OPTICS SOCIETY 2016; 22:6804013. [PMID: 27660404 PMCID: PMC5028128 DOI: 10.1109/jstqe.2016.2568160] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
In the past two decades significant advances have been made in single-molecule detection, which enables the direct observation of single biomolecules at work in real time and under physiological conditions. In particular, the development of single-molecule tracking (SMT) microscopy allows us to monitor the motion paths of individual biomolecules in living systems, unveiling the localization dynamics and transport modalities of the biomolecules that support the development of life. Beyond the capabilities of traditional camera-based tracking techniques, state-of-the-art SMT microscopies developed in recent years can record fluorescence lifetime while tracking a single molecule in the 3D space. This multiparameter detection capability can open the door to a wide range of investigations at the cellular or tissue level, including identification of molecular interaction hotspots and characterization of association/dissociation kinetics between molecules. In this review, we discuss various SMT techniques developed to date, with an emphasis on our recent development of the next generation 3D tracking system that not only achieves ultrahigh spatiotemporal resolution but also provides sufficient working depth suitable for live animal imaging. We also discuss the challenges that current SMT techniques are facing and the potential strategies to tackle those challenges.
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Affiliation(s)
- Cong Liu
- University of Texas at Austin, Austin, TX 78703 USA
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Duocastella M, Theriault C, Arnold CB. Three-dimensional particle tracking via tunable color-encoded multiplexing. OPTICS LETTERS 2016; 41:863-866. [PMID: 26974065 DOI: 10.1364/ol.41.000863] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
We present a novel 3D tracking approach capable of locating single particles with nanometric precision over wide axial ranges. Our method uses a fast acousto-optic liquid lens implemented in a bright field microscope to multiplex light based on color into different and selectable focal planes. By separating the red, green, and blue channels from an image captured with a color camera, information from up to three focal planes can be retrieved. Multiplane information from the particle diffraction rings enables precisely locating and tracking individual objects up to an axial range about 5 times larger than conventional single-plane approaches. We apply our method to the 3D visualization of the well-known coffee-stain phenomenon in evaporating water droplets.
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Yu B, Yu J, Li W, Cao B, Li H, Chen D, Niu H. Nanoscale three-dimensional single particle tracking by light-sheet-based double-helix point spread function microscopy. APPLIED OPTICS 2016; 55:449-53. [PMID: 26835916 DOI: 10.1364/ao.55.000449] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
The double-helix point spread function (DH-PSF) microscopy has become an essential tool for nanoscale three-dimensional (3D) localization and tracking of single molecules in living cells. However, its localization precision is limited by fluorescent contrast in thick samples because the signal-to-noise ratio of the system is low due to the inherent low transfer function efficiency and background fluorescence. Here we combine DH-PSF microscopy with light-sheet illumination to eliminate out-of-focus background fluorescence for high-precision 3D single particle tracking. To demonstrate the capability of the method, we obtain the single fluorescent bead image with light-sheet illumination, with three-dimensional localization accuracy better than that of epi-illumination. We also show that the single fluorescent beads in agarose solution can be tracked, which demonstrates the possibility of our method for the study of dynamic processes in complex biological specimens.
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50
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DeVore MS, Stich DG, Keller AM, Cleyrat C, Phipps ME, Hollingsworth JA, Lidke DS, Wilson BS, Goodwin PM, Werner JH. Note: Time-gated 3D single quantum dot tracking with simultaneous spinning disk imaging. THE REVIEW OF SCIENTIFIC INSTRUMENTS 2015; 86:126102. [PMID: 26724083 PMCID: PMC4676784 DOI: 10.1063/1.4937477] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
We describe recent upgrades to a 3D tracking microscope to include simultaneous Nipkow spinning disk imaging and time-gated single-particle tracking (SPT). Simultaneous 3D molecular tracking and spinning disk imaging enable the visualization of cellular structures and proteins around a given fluorescently labeled target molecule. The addition of photon time-gating to the SPT hardware improves signal to noise by discriminating against Raman scattering and short-lived fluorescence. In contrast to camera-based SPT, single-photon arrival times are recorded, enabling time-resolved spectroscopy (e.g., measurement of fluorescence lifetimes and photon correlations) to be performed during single molecule/particle tracking experiments.
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Affiliation(s)
- M S DeVore
- Center for Integrated Nanotechnologies, Los Alamos National Laboratory, Mail Stop G755, Los Alamos, New Mexico 87545, USA
| | - D G Stich
- Center for Integrated Nanotechnologies, Los Alamos National Laboratory, Mail Stop G755, Los Alamos, New Mexico 87545, USA
| | - A M Keller
- Center for Integrated Nanotechnologies, Los Alamos National Laboratory, Mail Stop G755, Los Alamos, New Mexico 87545, USA
| | - C Cleyrat
- Department of Pathology and Cancer Research and Treatment Center, University of New Mexico, Albuquerque, New Mexico 87131, USA
| | - M E Phipps
- Center for Integrated Nanotechnologies, Los Alamos National Laboratory, Mail Stop G755, Los Alamos, New Mexico 87545, USA
| | - J A Hollingsworth
- Center for Integrated Nanotechnologies, Los Alamos National Laboratory, Mail Stop G755, Los Alamos, New Mexico 87545, USA
| | - D S Lidke
- Department of Pathology and Cancer Research and Treatment Center, University of New Mexico, Albuquerque, New Mexico 87131, USA
| | - B S Wilson
- Department of Pathology and Cancer Research and Treatment Center, University of New Mexico, Albuquerque, New Mexico 87131, USA
| | - P M Goodwin
- Center for Integrated Nanotechnologies, Los Alamos National Laboratory, Mail Stop G755, Los Alamos, New Mexico 87545, USA
| | - J H Werner
- Center for Integrated Nanotechnologies, Los Alamos National Laboratory, Mail Stop G755, Los Alamos, New Mexico 87545, USA
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