1
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Teixeira P, Galland R, Chevrollier A. Super-resolution microscopies, technological breakthrough to decipher mitochondrial structure and dynamic. Semin Cell Dev Biol 2024; 159-160:38-51. [PMID: 38310707 DOI: 10.1016/j.semcdb.2024.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 01/08/2024] [Accepted: 01/25/2024] [Indexed: 02/06/2024]
Abstract
Mitochondria are complex organelles with an outer membrane enveloping a second inner membrane that creates a vast matrix space partitioned by pockets or cristae that join the peripheral inner membrane with several thin junctions. Several micrometres long, mitochondria are generally close to 300 nm in diameter, with membrane layers separated by a few tens of nanometres. Ultrastructural data from electron microscopy revealed the structure of these mitochondria, while conventional optical microscopy revealed their extraordinary dynamics through fusion, fission, and migration processes but its limited resolution power restricted the possibility to go further. By overcoming the limits of light diffraction, Super-Resolution Microscopy (SRM) now offers the potential to establish the links between the ultrastructure and remodelling of mitochondrial membranes, leading to major advances in our understanding of mitochondria's structure-function. Here we review the contributions of SRM imaging to our understanding of the relationship between mitochondrial structure and function. What are the hopes for these new imaging approaches which are particularly important for mitochondrial pathologies?
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Affiliation(s)
- Pauline Teixeira
- Univ. Angers, INSERM, CNRS, MITOVASC, Equipe MITOLAB, SFR ICAT, F-49000 Angers, France
| | - Rémi Galland
- Univ. Bordeaux, CNRS, Interdisciplinary Institute for Neuroscience, IINS, UMR 5297, F-33000 Bordeaux, France
| | - Arnaud Chevrollier
- Univ. Angers, INSERM, CNRS, MITOVASC, Equipe MITOLAB, SFR ICAT, F-49000 Angers, France.
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2
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Saridakis I, Riomet M, Belleza OJV, Coussanes G, Singer NK, Kastner N, Xiao Y, Smith E, Tona V, de la Torre A, Lopes EF, Sánchez-Murcia PA, González L, Sitte HH, Maulide N. PyrAtes: Modular Organic Salts with Large Stokes Shifts for Fluo-rescence Microscopy. Angew Chem Int Ed Engl 2024; 63:e202318127. [PMID: 38570814 DOI: 10.1002/anie.202318127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Indexed: 04/05/2024]
Abstract
The deployment of small-molecule fluorescent agents plays an ever-growing role in medicine and drug development. Herein, we complement the portfolio of powerful fluorophores, reporting the serendipitous discovery and development of a novel class with an imidazo[1,2-a]pyridinium triflate core, which we term PyrAtes. These fluorophores are synthesized in a single step from readily available materials (>60 examples) and display Stokes shifts as large as 240 nm, while also reaching NIR-I emissions at λmax as long as 720 nm. Computational studies allow the development of a platform for the prediction of λmax and λEm. Furthermore, we demonstrate the compatibility of these novel fluorophores with live cell imaging in HEK293 cells, suggesting PyrAtes as potent intracellular markers.
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Affiliation(s)
- Iakovos Saridakis
- Institute of Organic Chemistry, University of Vienna, Währinger Strasse 38, 1090, Vienna, Austria
- Vienna Doctoral School in Chemistry (DoSChem), University of Vienna, Währinger Strasse 42, 1090, Vienna, Austria
| | - Margaux Riomet
- Institute of Organic Chemistry, University of Vienna, Währinger Strasse 38, 1090, Vienna, Austria
| | - Oliver J V Belleza
- Centre of Physiology and Pharmacology, Institute of Pharmacology, Medical University of Vienna, Schwarzspanierstraße 17A, 1090, Vienna, Austria
| | - Guilhem Coussanes
- Institute of Organic Chemistry, University of Vienna, Währinger Strasse 38, 1090, Vienna, Austria
| | - Nadja K Singer
- Institute of Theoretical Chemistry, University of Vienna, Währinger Strasse 17, 1090, Vienna, Austria
- Vienna Doctoral School in Chemistry (DoSChem), University of Vienna, Währinger Strasse 42, 1090, Vienna, Austria
| | - Nina Kastner
- Centre of Physiology and Pharmacology, Institute of Pharmacology, Medical University of Vienna, Schwarzspanierstraße 17A, 1090, Vienna, Austria
| | - Yi Xiao
- Institute of Organic Chemistry, University of Vienna, Währinger Strasse 38, 1090, Vienna, Austria
- Vienna Doctoral School in Chemistry (DoSChem), University of Vienna, Währinger Strasse 42, 1090, Vienna, Austria
- CeMM Research Center for Molecular Medicine of the, Austrian Academy of Sciences, Lazarettgasse 14, 1090, Vienna, Austria
| | - Elliot Smith
- Institute of Organic Chemistry, University of Vienna, Währinger Strasse 38, 1090, Vienna, Austria
| | - Veronica Tona
- Institute of Organic Chemistry, University of Vienna, Währinger Strasse 38, 1090, Vienna, Austria
| | - Aurélien de la Torre
- Institute of Organic Chemistry, University of Vienna, Währinger Strasse 38, 1090, Vienna, Austria
| | - Eric F Lopes
- Institute of Organic Chemistry, University of Vienna, Währinger Strasse 38, 1090, Vienna, Austria
| | - Pedro A Sánchez-Murcia
- Institute of Theoretical Chemistry, University of Vienna, Währinger Strasse 17, 1090, Vienna, Austria
| | - Leticia González
- Institute of Theoretical Chemistry, University of Vienna, Währinger Strasse 17, 1090, Vienna, Austria
| | - Harald H Sitte
- Centre of Physiology and Pharmacology, Institute of Pharmacology, Medical University of Vienna, Schwarzspanierstraße 17A, 1090, Vienna, Austria
- Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, 19328, Amman, Jordan
- Center for Addiction Research and Science - AddRess, Medical University Vienna, Währinger Strasse 13 A, 1090, Vienna, Austria
| | - Nuno Maulide
- Institute of Organic Chemistry, University of Vienna, Währinger Strasse 38, 1090, Vienna, Austria
- CeMM Research Center for Molecular Medicine of the, Austrian Academy of Sciences, Lazarettgasse 14, 1090, Vienna, Austria
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3
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Nelson T, Vargas-Hernández S, Freire M, Cheng S, Gustavsson AK. Multimodal illumination platform for 3D single-molecule super-resolution imaging throughout mammalian cells. BIOMEDICAL OPTICS EXPRESS 2024; 15:3050-3063. [PMID: 38855669 PMCID: PMC11161355 DOI: 10.1364/boe.521362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 03/22/2024] [Accepted: 03/24/2024] [Indexed: 06/11/2024]
Abstract
Single-molecule super-resolution imaging is instrumental in investigating cellular architecture and organization at the nanoscale. Achieving precise 3D nanometric localization when imaging structures throughout mammalian cells, which can be multiple microns thick, requires careful selection of the illumination scheme in order to optimize the fluorescence signal to background ratio (SBR). Thus, an optical platform that combines different wide-field illumination schemes for target-specific SBR optimization would facilitate more precise 3D nanoscale studies of a wide range of cellular structures. Here, we demonstrate a versatile multimodal illumination platform that integrates the sectioning and background reduction capabilities of light sheet illumination with homogeneous, flat-field epi- and TIRF illumination. Using primarily commercially available parts, we combine the fast and convenient switching between illumination modalities with point spread function engineering to enable 3D single-molecule super-resolution imaging throughout mammalian cells. For targets directly at the coverslip, the homogenous intensity profile and excellent sectioning of our flat-field TIRF illumination scheme improves single-molecule data quality by providing low fluorescence background and uniform fluorophore blinking kinetics, fluorescence signal, and localization precision across the entire field of view. The increased contrast achieved with LS illumination, when compared with epi-illumination, makes this illumination modality an excellent alternative when imaging targets that extend throughout the cell. We validate our microscopy platform for improved 3D super-resolution imaging by two-color imaging of paxillin - a protein located in the focal adhesion complex - and actin in human osteosarcoma cells.
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Affiliation(s)
- Tyler Nelson
- Department of Chemistry, Rice University, 6100 Main St, Houston, TX 77005, USA
- Applied Physics Program, Rice University, 6100 Main St, Houston, TX 77005, USA
- Smalley-Curl Institute, Rice University, 6100 Main St, Houston, TX 77005, USA
| | - Sofía Vargas-Hernández
- Department of Chemistry, Rice University, 6100 Main St, Houston, TX 77005, USA
- Systems, Synthetic, and Physical Biology Program, Rice University, 6100 Main St, Houston, TX 77005, USA
- Institute of Biosciences & Bioengineering, Rice University, 6100 Main St, Houston, TX 77005, USA
| | - Margareth Freire
- Department of Chemistry, Rice University, 6100 Main St, Houston, TX 77005, USA
| | - Siyang Cheng
- Department of Chemistry, Rice University, 6100 Main St, Houston, TX 77005, USA
- Applied Physics Program, Rice University, 6100 Main St, Houston, TX 77005, USA
- Smalley-Curl Institute, Rice University, 6100 Main St, Houston, TX 77005, USA
| | - Anna-Karin Gustavsson
- Department of Chemistry, Rice University, 6100 Main St, Houston, TX 77005, USA
- Smalley-Curl Institute, Rice University, 6100 Main St, Houston, TX 77005, USA
- Institute of Biosciences & Bioengineering, Rice University, 6100 Main St, Houston, TX 77005, USA
- Department of Biosciences, Rice University, 6100 Main St, Houston, TX 77005, USA
- Department of Electrical and Computer Engineering, Rice University, 6100 Main St, Houston, TX 77005, USA
- Center for Nanoscale Imaging Sciences, Rice University, 6100 Main St, Houston, TX 77005, USA
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA
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4
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Li Y, Wang H, Chen Y, Ding L, Ju H. In Situ Glycan Analysis and Editing in Living Systems. JACS AU 2024; 4:384-401. [PMID: 38425935 PMCID: PMC10900212 DOI: 10.1021/jacsau.3c00717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 12/15/2023] [Accepted: 12/19/2023] [Indexed: 03/02/2024]
Abstract
Besides proteins and nucleic acids, carbohydrates are also ubiquitous building blocks of living systems. Approximately 70% of mammalian proteins are glycosylated. Glycans not only provide structural support for living systems but also act as crucial regulators of cellular functions. As a result, they are considered essential pieces of the life science puzzle. However, research on glycans has lagged far behind that on proteins and nucleic acids. The main reason is that glycans are not direct products of gene coding, and their synthesis is nontemplated. In addition, the diversity of monosaccharide species and their linkage patterns contribute to the complexity of the glycan structures, which is the molecular basis for their diverse functions. Research in glycobiology is extremely challenging, especially for the in situ elucidation of glycan structures and functions. There is an urgent need to develop highly specific glycan labeling tools and imaging methods and devise glycan editing strategies. This Perspective focuses on the challenges of in situ analysis of glycans in living systems at three spatial levels (i.e., cell, tissue, and in vivo) and highlights recent advances and directions in glycan labeling, imaging, and editing tools. We believe that examining the current development landscape and the existing bottlenecks can drive the evolution of in situ glycan analysis and intervention strategies and provide glycan-based insights for clinical diagnosis and therapeutics.
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Affiliation(s)
- Yiran Li
- State
Key Laboratory of Analytical Chemistry for Life Science, School of
Chemistry and Chemical Engineering, Nanjing
University, Nanjing 210023, China
| | - Haiqi Wang
- State
Key Laboratory of Analytical Chemistry for Life Science, School of
Chemistry and Chemical Engineering, Nanjing
University, Nanjing 210023, China
| | - Yunlong Chen
- State
Key Laboratory of Analytical Chemistry for Life Science, School of
Chemistry and Chemical Engineering, Nanjing
University, Nanjing 210023, China
| | - Lin Ding
- State
Key Laboratory of Analytical Chemistry for Life Science, School of
Chemistry and Chemical Engineering, Nanjing
University, Nanjing 210023, China
- Chemistry
and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing 210023, China
| | - Huangxian Ju
- State
Key Laboratory of Analytical Chemistry for Life Science, School of
Chemistry and Chemical Engineering, Nanjing
University, Nanjing 210023, China
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5
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Chowdhury P, Wang X, Love JF, Vargas-Hernandez S, Nakatani Y, Grimm SL, Mezquita D, Mason FM, Martinez ED, Coarfa C, Walker CL, Gustavsson AK, Dere R. Lysine Demethylase 4A is a Centrosome Associated Protein Required for Centrosome Integrity and Genomic Stability. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.20.581246. [PMID: 38464252 PMCID: PMC10925129 DOI: 10.1101/2024.02.20.581246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Centrosomes play a fundamental role in nucleating and organizing microtubules in the cell and are vital for faithful chromosome segregation and maintenance of genomic stability. Loss of structural or functional integrity of centrosomes causes genomic instability and is a driver of oncogenesis. The lysine demethylase 4A (KDM4A) is an epigenetic 'eraser' of chromatin methyl marks, which we show also localizes to the centrosome with single molecule resolution. We additionally discovered KDM4A demethylase enzymatic activity is required to maintain centrosome homeostasis, and is required for centrosome integrity, a new functionality unlinked to altered expression of genes regulating centrosome number. We find rather, that KDM4A interacts with both mother and daughter centriolar proteins to localize to the centrosome in all stages of mitosis. Loss of KDM4A results in supernumerary centrosomes and accrual of chromosome segregation errors including chromatin bridges and micronuclei, markers of genomic instability. In summary, these data highlight a novel role for an epigenetic 'eraser' regulating centrosome integrity, mitotic fidelity, and genomic stability at the centrosome.
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6
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Nelson T, Vargas-Hernández S, freire M, Cheng S, Gustavsson AK. Multimodal illumination platform for 3D single-molecule super-resolution imaging throughout mammalian cells. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.08.579549. [PMID: 38405960 PMCID: PMC10888752 DOI: 10.1101/2024.02.08.579549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Single-molecule super-resolution imaging is instrumental for investigating cellular architecture and organization at the nanoscale. Achieving precise 3D nanometric localization when imaging structures throughout mammalian cells, which can be multiple microns thick, requires careful selection of the illumination scheme in order to optimize the fluorescence signal to background ratio (SBR). Thus, an optical platform that combines different wide-field illumination schemes for target-specific SBR optimization would facilitate more precise, 3D nanoscale studies of a wide range of cellular structures. Here we demonstrate a versatile multimodal illumination platform that integrates the sectioning and background reduction capabilities of light sheet illumination with homogeneous, flat-field epi-and TIRF illumination. Using primarily commercially available parts, we combine the fast and convenient switching between illumination modalities with point spread function engineering to enable 3D single-molecule super-resolution imaging throughout mammalian cells. For targets directly at the coverslip, the homogenous intensity profile and excellent sectioning of our flat-field TIRF illumination scheme improves single-molecule data quality by providing low fluorescence background and uniform fluorophore blinking kinetics, fluorescence signal, and localization precision across the entire field of view. The increased contrast achieved with LS illumination, when compared with epi-illumination, makes this illumination modality an excellent alternative when imaging targets that extend throughout the cell. We validate our microscopy platform for improved 3D super-resolution imaging by two-color imaging of paxillin - a protein located in the focal adhesion complex - and actin in human osteosarcoma cells.
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Affiliation(s)
- Tyler Nelson
- Department of Chemistry, Rice University, 6100 Main St, Houston, TX 77005, USA
- Applied Physics Program, Rice University, 6100 Main St, Houston, TX 77005, USA
- Smalley-Curl Institute, Rice University, 6100 Main St, Houston, TX 77005, USA
| | - Sofía Vargas-Hernández
- Department of Chemistry, Rice University, 6100 Main St, Houston, TX 77005, USA
- Systems, Synthetic, and Physical Biology Program, Rice University, 6100 Main St, Houston, TX 77005, USA
- Institute of Biosciences & Bioengineering, Rice University, 6100 Main St, Houston, TX 77005, USA
| | - Margareth freire
- Department of Chemistry, Rice University, 6100 Main St, Houston, TX 77005, USA
| | - Siyang Cheng
- Department of Chemistry, Rice University, 6100 Main St, Houston, TX 77005, USA
- Applied Physics Program, Rice University, 6100 Main St, Houston, TX 77005, USA
- Smalley-Curl Institute, Rice University, 6100 Main St, Houston, TX 77005, USA
| | - Anna-Karin Gustavsson
- Department of Chemistry, Rice University, 6100 Main St, Houston, TX 77005, USA
- Smalley-Curl Institute, Rice University, 6100 Main St, Houston, TX 77005, USA
- Institute of Biosciences & Bioengineering, Rice University, 6100 Main St, Houston, TX 77005, USA
- Department of Biosciences, Rice University, 6100 Main St, Houston, TX 77005, USA
- Department of Electrical and Computer Engineering, Rice University, 6100 Main St, Houston, TX 77005, USA
- Center for Nanoscale Imaging Sciences, Rice University, 6100 Main St, Houston, TX 77005, USA
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA
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7
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Shi Y, Tabet JS, Milkie DE, Daugird TA, Yang CQ, Ritter AT, Giovannucci A, Legant WR. Smart lattice light-sheet microscopy for imaging rare and complex cellular events. Nat Methods 2024; 21:301-310. [PMID: 38167656 DOI: 10.1038/s41592-023-02126-0] [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: 03/04/2023] [Accepted: 11/09/2023] [Indexed: 01/05/2024]
Abstract
Light-sheet microscopes enable rapid high-resolution imaging of biological specimens; however, biological processes span spatiotemporal scales. Moreover, long-term phenotypes are often instigated by rare or fleeting biological events that are difficult to capture with a single imaging modality. Here, to overcome this limitation, we present smartLLSM, a microscope that incorporates artificial intelligence-based instrument control to autonomously switch between epifluorescent inverted imaging and lattice light-sheet microscopy (LLSM). We apply this approach to two unique processes: cell division and immune synapse formation. In each context, smartLLSM provides population-level statistics across thousands of cells and autonomously captures multicolor three-dimensional datasets or four-dimensional time-lapse movies of rare events at rates that dramatically exceed human capabilities. From this, we quantify the effects of Taxol dose on spindle structure and kinetochore dynamics in dividing cells and of antigen strength on cytotoxic T lymphocyte engagement and lytic granule polarization at the immune synapse. Overall, smartLLSM efficiently detects rare events within heterogeneous cell populations and records these processes with high spatiotemporal four-dimensional imaging over statistically significant replicates.
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Affiliation(s)
- Yu Shi
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jimmy S Tabet
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Daniel E Milkie
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Timothy A Daugird
- Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Chelsea Q Yang
- Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Andrea Giovannucci
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Wesley R Legant
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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8
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Chen H, Chen TY. From Monomers to Hexamers: A Theoretical Probability of the Neighbor Density Approach to Dissect Protein Oligomerization in Cells. Anal Chem 2024; 96:895-903. [PMID: 38156958 PMCID: PMC10842889 DOI: 10.1021/acs.analchem.3c04728] [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] [Indexed: 01/03/2024]
Abstract
Deciphering the oligomeric state of proteins within cells is pivotal to understanding their role in intricate cellular processes. With the recent advances in single-molecule localization microscopy, previous efforts have harnessed protein location density approaches, coupled with simulations, to extract membrane protein oligomeric states in cells, highlighting the value of such techniques. However, a comprehensive theoretical approach that can be universally applied across different proteins (e.g., membrane and cytosolic proteins) remains elusive. Here, we introduce the theoretical probability of neighbor density (PND) as a robust tool to discern protein oligomeric states in cellular environments. Utilizing our approach, the theoretical PND was validated against simulated data for both membrane and cytosolic proteins, consistently aligning with experimental baselines for membrane proteins. This congruence was maintained even when adjusting for protein concentrations or exploring proteins of various oligomeric states. The strength of our method lies not only in its precision but also in its adaptability, accommodating diverse cellular protein scenarios without compromising the accuracy. The development and validation of the theoretical PND facilitate accurate protein oligomeric state determination and bolster our understanding of protein-mediated cellular functions.
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Affiliation(s)
- Huanhuan Chen
- Department of Chemistry, University of Houston, Houston, Texas 77204
| | - Tai-Yen Chen
- Department of Chemistry, University of Houston, Houston, Texas 77204
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9
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Basumatary J, Baro N, Joshi P, Mondal PP. Scanning single molecule localization microscopy (scanSMLM) for super-resolution volume imaging. Commun Biol 2023; 6:1050. [PMID: 37848705 PMCID: PMC10582190 DOI: 10.1038/s42003-023-05364-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 09/15/2023] [Indexed: 10/19/2023] Open
Abstract
Over the last decade, single-molecule localization microscopy (SMLM) has developed into a set of powerful techniques that have improved spatial resolution over diffraction-limited microscopy and demonstrated the ability to resolve biological features down to a few tens of nanometers. We introduce a single molecule-based scanning SMLM (scanSMLM) system that enables rapid volume imaging. Along with epi-illumination, the system employs a scanning-based 4f detection for volume imaging. The 4f system comprises a combination of an electrically-tunable lens and high NA detection objective lens. By rapidly changing the aperture (or equivalently the focus) of an electrically-tunable lens (ETL) in a 4f detection system, the selectivity of the axial object plane is achieved, for which the image forms in the image/detector plane. So, in principle, one can scan the object volume by just altering the aperture of ETL. Two schemes were adopted to carry out volume imaging: cyclic scan and conventional scan. The cyclic scheme scans the volume in each scan cycle, whereas plane-wise scanning is performed in the conventional scheme. Hence, the cyclic scan ensures uniform dwell time on each frame during data collection, thereby evenly distributing photobleaching throughout the cell volume. With a minimal change in the system hardware (requiring the addition of an ETL lens and related electronics for step-voltage generation) in the existing SMLM system, volume scanning (along the z-axis) can be achieved. To calibrate and derive critical system parameters, we imaged fluorescent beads embedded in a gel-matrix 3D block as a test sample. Subsequently, scanSMLM is employed to visualize the architecture of actin-filaments and the distribution of Meos-Tom20 molecules on the mitochondrial membrane. The technique is further exploited to understand the clustering of Hemagglutinin (HA) protein single molecules in a transfected cell for studying Influenza-A disease progression. The system, for the first time, enabled 3D visualization of HA distribution that revealed HA cluster formation spanning the entire cell volume, post 24 hrs of transfection. Critical biophysical parameters related to HA clusters (density, the number of HA molecules per cluster, axial span, fraction of clustered molecules, and others) are also determined, giving an unprecedented insight into Influenza-A disease progression at the single-molecule level.
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Affiliation(s)
- Jigmi Basumatary
- Nanobioimaging Laboratory, Department of Instrumentation and Applied Physics, Indian Institute of Science, Bangalore, 560012, India
| | - Neptune Baro
- Nanobioimaging Laboratory, Department of Instrumentation and Applied Physics, Indian Institute of Science, Bangalore, 560012, India
| | - Prakash Joshi
- Nanobioimaging Laboratory, Department of Instrumentation and Applied Physics, Indian Institute of Science, Bangalore, 560012, India
| | - Partha Pratim Mondal
- Nanobioimaging Laboratory, Department of Instrumentation and Applied Physics, Indian Institute of Science, Bangalore, 560012, India.
- Centre for Cryogenic Technology, Indian Institute of Science, Bangalore, 560012, India.
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10
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Koo D, Lee M, Lee Y, Kim J. Enhancing obSTORM imaging performance with cubic spline PSF modeling. BIOMEDICAL OPTICS EXPRESS 2023; 14:5075-5084. [PMID: 37854548 PMCID: PMC10581796 DOI: 10.1364/boe.500323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 08/28/2023] [Accepted: 08/30/2023] [Indexed: 10/20/2023]
Abstract
Oblique plane microscopy-based single molecule localization microscopy (obSTORM) has shown great potential for super-resolution imaging of thick biological specimens. Despite its compatibility with tissues and small animals, prior uses of the Gaussian point spread function (PSF) model have resulted in limited imaging resolution and a narrow axial localization range. This is due to the poor fit of the Gaussian PSF model with the actual PSF shapes in obSTORM. To overcome these limitations, we have employed cubic splines for a more accurate modeling of the experimental PSF shapes. This refined PSF model enhances three-dimensional localization precision, leading to significant improvements in obSTORM imaging of mouse retina tissues, such as an approximately 1.2 times increase in imaging resolution, seamless stitching of single molecules between adjacent optical sections, and a doubling of the sectional interval in volumetric obSTORM imaging due to the extended axial range of usable section thickness. The cubic spline PSF model thus offers a path towards more accurate and faster volumetric obSTORM imaging of biological specimens.
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Affiliation(s)
- Donghoon Koo
- Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul 08826, Republic of Korea
| | - Minchol Lee
- Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul 08826, Republic of Korea
| | - Youngseop Lee
- Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul 08826, Republic of Korea
| | - Jeongmin Kim
- Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul 08826, Republic of Korea
- Research Institute for Convergence Science, Seoul National University, Seoul 08826, Republic of Korea
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11
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Saliba N, Gagliano G, Gustavsson AK. Whole-cell multi-target single-molecule super-resolution imaging in 3D with microfluidics and a single-objective tilted light sheet. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.27.559876. [PMID: 37808751 PMCID: PMC10557638 DOI: 10.1101/2023.09.27.559876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Multi-target single-molecule super-resolution fluorescence microscopy offers a powerful means of understanding the distributions and interplay between multiple subcellular structures at the nanoscale. However, single-molecule super-resolution imaging of whole mammalian cells is often hampered by high fluorescence background and slow acquisition speeds, especially when imaging multiple targets in 3D. In this work, we have mitigated these issues by developing a steerable, dithered, single-objective tilted light sheet for optical sectioning to reduce fluorescence background and a pipeline for 3D nanoprinting microfluidic systems for reflection of the light sheet into the sample and for efficient and automated solution exchange. By combining these innovations with PSF engineering for nanoscale localization of individual molecules in 3D, deep learning for analysis of overlapping emitters, active 3D stabilization for drift correction and long-term imaging, and Exchange-PAINT for sequential multi-target imaging without chromatic offsets, we demonstrate whole-cell multi-target 3D single-molecule super-resolution imaging with improved precision and imaging speed.
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Affiliation(s)
- Nahima Saliba
- Department of Chemistry, Rice University, Houston, TX, 77005
| | - Gabriella Gagliano
- Department of Chemistry, Rice University, Houston, TX, 77005
- Smalley-Curl Institute, Rice University, Houston, TX, 77005
- Applied Physics Program, Rice University, Houston, TX, 77005
| | - Anna-Karin Gustavsson
- Department of Chemistry, Rice University, Houston, TX, 77005
- Smalley-Curl Institute, Rice University, Houston, TX, 77005
- Department of BioSciences, Rice University, Houston, TX, 77005
- Department of Electrical and Computer Engineering, Rice University, Houston, TX, 77005
- Institute of Biosciences and Bioengineering, Rice University, Houston, TX, 77005
- Department of Cancer Biology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030
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12
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Li S, Kner PA. Optimizing self-interference digital holography for single-molecule localization. OPTICS EXPRESS 2023; 31:29352-29367. [PMID: 37710737 PMCID: PMC10544951 DOI: 10.1364/oe.499724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 08/01/2023] [Accepted: 08/02/2023] [Indexed: 09/16/2023]
Abstract
Self-interference digital holography (SIDH) can image incoherently emitting objects over large axial ranges from three two-dimensional images. By combining SIDH with single-molecule localization microscopy (SMLM), incoherently emitting objects can be localized with nanometer precision over a wide axial range without mechanical refocusing. However, background light substantially degrades the performance of SIDH due to the relatively large size of the hologram. To optimize the performance of SIDH, we performed simulations to study the optimal hologram radius (Rh) for different levels of background photons. The results show that by reducing the size of the hologram, we can achieve a localization precision of better than 60 nm laterally and 80 nm axially over a 10 µm axial range under the conditions of low signal level (6000 photons) with 10 photons/pixel of background noise. We then performed experiments to demonstrate our optimized SIDH system. The results show that point sources emitting as few as 2120 photons can be successfully detected. We further demonstrated that we can successfully reconstruct point-like sources emitting 4200 photons over a 10 µm axial range by light-sheet SIDH.
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Affiliation(s)
- Shaoheng Li
- School of Electrical and Computer Engineering, University of Georgia, Athens, GA 30602, USA
| | - Peter A. Kner
- School of Electrical and Computer Engineering, University of Georgia, Athens, GA 30602, USA
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13
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Gardini L, Vignolini T, Curcio V, Pavone FS, Capitanio M. Optimization of highly inclined illumination for diffraction-limited and super-resolution microscopy. OPTICS EXPRESS 2023; 31:26208-26225. [PMID: 37710487 DOI: 10.1364/oe.492152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 06/12/2023] [Indexed: 09/16/2023]
Abstract
In HILO microscopy, a highly inclined and laminated light sheet is used to illuminate the sample, thus drastically reducing background fluorescence in wide-field microscopy, but maintaining the simplicity of the use of a single objective for both illumination and detection. Although the technique has become widely popular, particularly in single molecule and super-resolution microscopy, a limited understanding of how to finely shape the illumination beam and of how this impacts on the image quality complicates the setting of HILO to fit the experimental needs. In this work, we build up a simple and comprehensive guide to optimize the beam shape and alignment in HILO and to predict its performance in conventional fluorescence and super-resolution microscopy. We model the beam propagation through Gaussian optics and validate the model through far- and near-field experiments, thus characterizing the main geometrical features of the beam. Further, we fully quantify the effects of a progressive reduction of the inclined beam thickness on the image quality of both diffraction-limited and super-resolution images and we show that the most relevant impact is obtained by reducing the beam thickness to sub-cellular dimensions (< 3 µm). Based on this, we present a simple optical solution that exploits a rectangular slit to reduce the inclined beam thickness down to 2.6 µm while keeping a field-of-view dimension suited for cell imaging and allowing an increase in the number of localizations in super-resolution imaging of up to 2.6 folds.
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14
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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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15
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Chen R, Tang X, Zhao Y, Shen Z, Zhang M, Shen Y, Li T, Chung CHY, Zhang L, Wang J, Cui B, Fei P, Guo Y, Du S, Yao S. Single-frame deep-learning super-resolution microscopy for intracellular dynamics imaging. Nat Commun 2023; 14:2854. [PMID: 37202407 DOI: 10.1038/s41467-023-38452-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 04/28/2023] [Indexed: 05/20/2023] Open
Abstract
Single-molecule localization microscopy (SMLM) can be used to resolve subcellular structures and achieve a tenfold improvement in spatial resolution compared to that obtained by conventional fluorescence microscopy. However, the separation of single-molecule fluorescence events that requires thousands of frames dramatically increases the image acquisition time and phototoxicity, impeding the observation of instantaneous intracellular dynamics. Here we develop a deep-learning based single-frame super-resolution microscopy (SFSRM) method which utilizes a subpixel edge map and a multicomponent optimization strategy to guide the neural network to reconstruct a super-resolution image from a single frame of a diffraction-limited image. Under a tolerable signal density and an affordable signal-to-noise ratio, SFSRM enables high-fidelity live-cell imaging with spatiotemporal resolutions of 30 nm and 10 ms, allowing for prolonged monitoring of subcellular dynamics such as interplays between mitochondria and endoplasmic reticulum, the vesicle transport along microtubules, and the endosome fusion and fission. Moreover, its adaptability to different microscopes and spectra makes it a useful tool for various imaging systems.
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Affiliation(s)
- Rong Chen
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Xiao Tang
- Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Yuxuan Zhao
- School of Optical and Electronic Information, Huazhong University of Science and Technology, 430074, Wuhan, China
| | - Zeyu Shen
- Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Meng Zhang
- School of Optical and Electronic Information, Huazhong University of Science and Technology, 430074, Wuhan, China
| | - Yusheng Shen
- Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Tiantian Li
- Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Casper Ho Yin Chung
- Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Lijuan Zhang
- School of Pharmaceutical Sciences, Guizhou University, 550025, Guizhou, China
| | - Ji Wang
- Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Binbin Cui
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Peng Fei
- School of Optical and Electronic Information, Huazhong University of Science and Technology, 430074, Wuhan, China
| | - Yusong Guo
- Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong, China.
| | - Shengwang Du
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.
- Department of Physics, The Hong Kong University of Science and Technology, Hong Kong, China.
- Department of Physics, The University of Texas at Dallas, Richardson, TX, 75080, USA.
| | - Shuhuai Yao
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.
- Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.
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16
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Mendonca T, Lis-Slimak K, Matheson AB, Smith MG, Anane-Adjei AB, Ashworth JC, Cavanagh R, Paterson L, Dalgarno PA, Alexander C, Tassieri M, Merry CLR, Wright AJ. OptoRheo: Simultaneous in situ micro-mechanical sensing and imaging of live 3D biological systems. Commun Biol 2023; 6:463. [PMID: 37117487 PMCID: PMC10147656 DOI: 10.1038/s42003-023-04780-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 03/30/2023] [Indexed: 04/30/2023] Open
Abstract
Biomechanical cues from the extracellular matrix (ECM) are essential for directing many cellular processes, from normal development and repair, to disease progression. To better understand cell-matrix interactions, we have developed a new instrument named 'OptoRheo' that combines light sheet fluorescence microscopy with particle tracking microrheology. OptoRheo lets us image cells in 3D as they proliferate over several days while simultaneously sensing the mechanical properties of the surrounding extracellular and pericellular matrix at a sub-cellular length scale. OptoRheo can be used in two operational modalities (with and without an optical trap) to extend the dynamic range of microrheology measurements. We corroborated this by characterising the ECM surrounding live breast cancer cells in two distinct culture systems, cell clusters in 3D hydrogels and spheroids in suspension culture. This cutting-edge instrument will transform the exploration of drug transport through complex cell culture matrices and optimise the design of the next-generation of disease models.
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Affiliation(s)
- Tania Mendonca
- Optics and Photonics Research Group, Faculty of Engineering, University of Nottingham, Nottingham, UK.
| | - Katarzyna Lis-Slimak
- Nottingham Biodiscovery Institute, School of Medicine, University of Nottingham, Nottingham, UK
| | - Andrew B Matheson
- Institute of Biological Chemistry, Biophysics and Bioengineering, School of Engineering and Physical Sciences, Heriot Watt University, Edinburgh, UK
| | - Matthew G Smith
- Division of Biomedical Engineering, James Watt School of Engineering, University of Glasgow, Glasgow, UK
| | | | - Jennifer C Ashworth
- Nottingham Biodiscovery Institute, School of Medicine, University of Nottingham, Nottingham, UK
- School of Veterinary Medicine & Science, University of Nottingham, Sutton Bonington Campus, Leicestershire, UK
| | - Robert Cavanagh
- School of Pharmacy, University of Nottingham, Nottingham, UK
| | - Lynn Paterson
- Institute of Biological Chemistry, Biophysics and Bioengineering, School of Engineering and Physical Sciences, Heriot Watt University, Edinburgh, UK
| | - Paul A Dalgarno
- Institute of Biological Chemistry, Biophysics and Bioengineering, School of Engineering and Physical Sciences, Heriot Watt University, Edinburgh, UK
| | | | - Manlio Tassieri
- Division of Biomedical Engineering, James Watt School of Engineering, University of Glasgow, Glasgow, UK
| | - Catherine L R Merry
- Nottingham Biodiscovery Institute, School of Medicine, University of Nottingham, Nottingham, UK
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Amanda J Wright
- Optics and Photonics Research Group, Faculty of Engineering, University of Nottingham, Nottingham, UK
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17
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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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18
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Shi Y, Tabet JS, Milkie DE, Daugird TA, Yang CQ, Giovannucci A, Legant WR. Smart Lattice Light Sheet Microscopy for imaging rare and complex cellular events. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.07.531517. [PMID: 36945393 PMCID: PMC10028917 DOI: 10.1101/2023.03.07.531517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
Light sheet microscopes enable rapid, high-resolution imaging of biological specimens; however, biological processes span a variety of spatiotemporal scales. Moreover, long-term phenotypes are often instigated by rare or fleeting biological events that are difficult to capture with a single imaging modality and constant imaging parameters. To overcome this limitation, we present smartLLSM, a microscope that incorporates AI-based instrument control to autonomously switch between epifluorescent inverted imaging and lattice light sheet microscopy. We apply this technology to two major scenarios. First, we demonstrate that the instrument provides population-level statistics of cell cycle states across thousands of cells on a coverslip. Second, we show that by using real-time image feedback to switch between imaging modes, the instrument autonomously captures multicolor 3D datasets or 4D time-lapse movies of dividing cells at rates that dramatically exceed human capabilities. Quantitative image analysis on high-content + high-throughput datasets reveal kinetochore and chromosome dynamics in dividing cells and determine the effects of drug perturbation on cells in specific mitotic stages. This new methodology enables efficient detection of rare events within a heterogeneous cell population and records these processes with high spatiotemporal 4D imaging over statistically significant replicates.
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19
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Weiss LE, Love JF, Yoon J, Comerci CJ, Milenkovic L, Kanie T, Jackson PK, Stearns T, Gustavsson AK. Single-molecule imaging in the primary cilium. Methods Cell Biol 2023; 176:59-83. [PMID: 37164543 PMCID: PMC10509820 DOI: 10.1016/bs.mcb.2023.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/26/2023]
Abstract
The primary cilium is an important signaling organelle critical for normal development and tissue homeostasis. Its small dimensions and complexity necessitate advanced imaging approaches to uncover the molecular mechanisms behind its function. Here, we outline how single-molecule fluorescence microscopy can be used for tracking molecular dynamics and interactions and for super-resolution imaging of nanoscale structures in the primary cilium. Specifically, we describe in detail how to capture and quantify the 2D dynamics of individual transmembrane proteins PTCH1 and SMO and how to map the 3D nanoscale distributions of the inversin compartment proteins INVS, ANKS6, and NPHP3. This protocol can, with minor modifications, be adapted for studies of other proteins and cell lines to further elucidate the structure and function of the primary cilium at the molecular level.
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Affiliation(s)
- Lucien E Weiss
- Department of Engineering Physics, Polytechnique Montréal, Montreal, QC, Canada.
| | - Julia F Love
- Department of Chemistry, Rice University, Houston, TX, United States
| | | | - Colin J Comerci
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, United States
| | | | - Tomoharu Kanie
- Department of Cell Biology, University of Oklahoma Health Sciences Center, Oklahoma, OK, United States
| | - Peter K Jackson
- Baxter Laboratory, Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA, United States; Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States
| | - Tim Stearns
- Department of Biology, Stanford University, Stanford, CA, United States; Rockefeller University, New York City, NY, United States
| | - Anna-Karin Gustavsson
- Department of Chemistry, Rice University, Houston, TX, United States; Department of BioSciences, Rice University, Houston, TX, United States; Institute of Biosciences and Bioengineering, Rice University, Houston, TX, United States; Smalley-Curl Institute, Rice University, Houston, TX, United States.
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20
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Kanie T, Love JF, Fisher SD, Gustavsson AK, Jackson PK. A hierarchical pathway for assembly of the distal appendages that organize primary cilia. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.06.522944. [PMID: 36711481 PMCID: PMC9881904 DOI: 10.1101/2023.01.06.522944] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Distal appendages are nine-fold symmetric blade-like structures attached to the distal end of the mother centriole. These structures are critical for formation of the primary cilium, by regulating at least four critical steps: ciliary vesicle recruitment, recruitment and initiation of intraflagellar transport (IFT), and removal of CP110. While specific proteins that localize to the distal appendages have been identified, how exactly each protein functions to achieve the multiple roles of the distal appendages is poorly understood. Here we comprehensively analyze known and newly discovered distal appendage proteins (CEP83, SCLT1, CEP164, TTBK2, FBF1, CEP89, KIZ, ANKRD26, PIDD1, LRRC45, NCS1, C3ORF14) for their precise localization, order of recruitment, and their roles in each step of cilia formation. Using CRISPR-Cas9 knockouts, we show that the order of the recruitment of the distal appendage proteins is highly interconnected and a more complex hierarchy. Our analysis highlights two protein modules, CEP83-SCLT1 and CEP164-TTBK2, as critical for structural assembly of distal appendages. Functional assay revealed that CEP89 selectively functions in RAB34+ ciliary vesicle recruitment, while deletion of the integral components, CEP83-SCLT1-CEP164-TTBK2, severely compromised all four steps of cilium formation. Collectively, our analyses provide a more comprehensive view of the organization and the function of the distal appendage, paving the way for molecular understanding of ciliary assembly.
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Affiliation(s)
- Tomoharu Kanie
- Baxter Laboratory, Department of Microbiology & Immunology and Department of Pathology, Stanford University, Stanford, CA, 94305
- Department of Cell Biology, University of Oklahoma Health Sciences Center, Oklahoma, OK, 73112
| | - Julia F. Love
- Department of Chemistry, Rice University, Houston, TX, 77005
| | | | - Anna-Karin Gustavsson
- Department of Chemistry, Rice University, Houston, TX, 77005
- Department of BioSciences, Rice University, Houston, TX, 77005
- Smalley-Curl Institute, Rice University, Houston, TX, 77005
- Institute of Biosciences and Bioengineering, Rice University, Houston, TX, 77005
- Department of Cancer Biology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030
| | - Peter K. Jackson
- Baxter Laboratory, Department of Microbiology & Immunology and Department of Pathology, Stanford University, Stanford, CA, 94305
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21
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Ball DA, Jalloh B, Karpova TS. Impact of Saccharomyces cerevisiae on the Field of Single-Molecule Biophysics. Int J Mol Sci 2022; 23:ijms232415895. [PMID: 36555532 PMCID: PMC9781480 DOI: 10.3390/ijms232415895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 12/10/2022] [Accepted: 12/11/2022] [Indexed: 12/15/2022] Open
Abstract
Cellular functions depend on the dynamic assembly of protein regulator complexes at specific cellular locations. Single Molecule Tracking (SMT) is a method of choice for the biochemical characterization of protein dynamics in vitro and in vivo. SMT follows individual molecules in live cells and provides direct information about their behavior. SMT was successfully applied to mammalian models. However, mammalian cells provide a complex environment where protein mobility depends on numerous factors that are difficult to control experimentally. Therefore, yeast cells, which are unicellular and well-studied with a small and completely sequenced genome, provide an attractive alternative for SMT. The simplicity of organization, ease of genetic manipulation, and tolerance to gene fusions all make yeast a great model for quantifying the kinetics of major enzymes, membrane proteins, and nuclear and cellular bodies. However, very few researchers apply SMT techniques to yeast. Our goal is to promote SMT in yeast to a wider research community. Our review serves a dual purpose. We explain how SMT is conducted in yeast cells, and we discuss the latest insights from yeast SMT while putting them in perspective with SMT of higher eukaryotes.
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22
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Bonin K, Prasad S, Caulkins W, Holzwarth G, Baker SR, Vidi PA. Three-dimensional tracking using a single-spot rotating point spread function created by a multiring spiral phase plate. JOURNAL OF BIOMEDICAL OPTICS 2022; 27:126501. [PMID: 36590978 PMCID: PMC9799159 DOI: 10.1117/1.jbo.27.12.126501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 12/13/2022] [Indexed: 06/17/2023]
Abstract
SIGNIFICANCE Three-dimensional (3D) imaging and object tracking is critical for medical and biological research and can be achieved by multifocal imaging with diffractive optical elements (DOEs) converting depth ( z ) information into a modification of the two-dimensional image. Physical insight into DOE designs will spur this expanding field. AIM To precisely track microscopic fluorescent objects in biological systems in 3D with a simple low-cost DOE system. APPROACH We designed a multiring spiral phase plate (SPP) generating a single-spot rotating point spread function (SS-RPSF) in a microscope. Our simple, analytically transparent design process uses Bessel beams to avoid rotational ambiguities and achieve a significant depth range. The SPP was inserted into the Nomarski prism slider of a standard microscope. Performance was evaluated using fluorescent beads and in live cells expressing a fluorescent chromatin marker. RESULTS Bead localization precision was < 25 nm in the transverse dimensions and ≤ 70 nm along the axial dimension over an axial range of 6 μ m . Higher axial precision ( ≤ 50 nm ) was achieved over a shallower focal depth of 2.9 μ m . 3D diffusion constants of chromatin matched expected values. CONCLUSIONS Precise 3D localization and tracking can be achieved with a SS-RPSF SPP in a standard microscope with minor modifications.
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Affiliation(s)
- Keith Bonin
- Wake Forest University, Department of Physics, Winston-Salem, North Carolina, United States
- Atrium Health/Wake Forest Baptist, Comprehensive Cancer Center, Winston-Salem, North Carolina, United States
| | - Sudhakar Prasad
- University of Minnesota, Department of Physics, Minneapolis, Minnesota, United States
| | - Will Caulkins
- Wake Forest University, Department of Physics, Winston-Salem, North Carolina, United States
| | - George Holzwarth
- Wake Forest University, Department of Physics, Winston-Salem, North Carolina, United States
| | - Stephen R. Baker
- Wake Forest University, Department of Physics, Winston-Salem, North Carolina, United States
| | - Pierre-Alexandre Vidi
- Atrium Health/Wake Forest Baptist, Comprehensive Cancer Center, Winston-Salem, North Carolina, United States
- Wake Forest School of Medicine, Department of Cancer Biology, Winston-Salem, North Carolina, United States
- Institut de Cancérologie de l’Ouest, Angers, France
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23
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Hung ST, Llobet Rosell A, Jurriens D, Siemons M, Soloviev O, Kapitein LC, Grußmayer K, Neukomm LJ, Verhaegen M, Smith C. Adaptive optics in single objective inclined light sheet microscopy enables three-dimensional localization microscopy in adult Drosophila brains. Front Neurosci 2022; 16:954949. [PMID: 36278016 PMCID: PMC9583434 DOI: 10.3389/fnins.2022.954949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 09/01/2022] [Indexed: 11/24/2022] Open
Abstract
Single-molecule localization microscopy (SMLM) enables the high-resolution visualization of organelle structures and the precise localization of individual proteins. However, the expected resolution is not achieved in tissue as the imaging conditions deteriorate. Sample-induced aberrations distort the point spread function (PSF), and high background fluorescence decreases the localization precision. Here, we synergistically combine sensorless adaptive optics (AO), in-situ 3D-PSF calibration, and a single-objective lens inclined light sheet microscope (SOLEIL), termed (AO-SOLEIL), to mitigate deep tissue-induced deteriorations. We apply AO-SOLEIL on several dSTORM samples including brains of adult Drosophila. We observed a 2x improvement in the estimated axial localization precision with respect to widefield without aberration correction while we used synergistic solution. AO-SOLEIL enhances the overall imaging resolution and further facilitates the visualization of sub-cellular structures in tissue.
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Affiliation(s)
- Shih-Te Hung
- Delft Center for Systems and Control, Delft University of Technology, Delft, Netherlands
| | - Arnau Llobet Rosell
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland
| | - Daphne Jurriens
- Cell Biology, Neurobiology and Biophysics, Department of Biology, Faculty of Science, Utrecht University, Utrecht, Netherlands
| | - Marijn Siemons
- Cell Biology, Neurobiology and Biophysics, Department of Biology, Faculty of Science, Utrecht University, Utrecht, Netherlands
| | - Oleg Soloviev
- Delft Center for Systems and Control, Delft University of Technology, Delft, Netherlands
| | - Lukas C. Kapitein
- Cell Biology, Neurobiology and Biophysics, Department of Biology, Faculty of Science, Utrecht University, Utrecht, Netherlands
| | - Kristin Grußmayer
- Department of Bionanoscience, Kavli Institute of Nanoscience Delft, Delft University of Technology, Delft, Netherlands
| | - Lukas J. Neukomm
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland
| | - Michel Verhaegen
- Delft Center for Systems and Control, Delft University of Technology, Delft, Netherlands
| | - Carlas Smith
- Delft Center for Systems and Control, Delft University of Technology, Delft, Netherlands
- Department of Imaging Physics, Delft University of Technology, Delft, Netherlands
- *Correspondence: Carlas Smith
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24
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Cai Y, Chen Y, Xia Y, Zheng S, Liu Z, Shi K. Single-Lens Light-Sheet Fluorescence Microscopy Based on Micro-Mirror Array. LASER & PHOTONICS REVIEWS 2022; 16:2100026. [PMID: 36389089 PMCID: PMC9648671 DOI: 10.1002/lpor.202100026] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
Conventional light sheet fluorescence microscopy (LSFM) utilizes two perpendicularly arranged objective lenses for optical excitation and detection, respectively. Such a configuration often limits the use of high-numerical-aperture (NA) objectives or requires specially designed long-working-distance objectives. Here, a LSFM based on a micro-mirror array (MMA) to enable light sheet imaging with a single objective lens is reported. The planar fluorescent emission excited by the light sheet illumination is collected by the same objective, relayed onto an MMA and detected by a side-view camera. The proposed scheme makes LSFM compatible to single objective imaging system and shows promising candidacy for high spatiotemporal imaging.
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Affiliation(s)
- Yanhui Cai
- State Key Laboratory for Mesoscopic Physics, Department of Physics, Peking University, Beijing 100871, P. R. China; Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan, Shanxi 030006, P. R. China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519000, P. R. China
| | - Yizhu Chen
- Department of Electrical Engineering, The Pennsylvania State University, University Park, PA 16802, USA
| | - Yiqiu Xia
- Department of Biomedical Engineering, Penn State Material Research Institute, The Pennsylvania State University, University Park, PA 16802, USA
| | - Siyang Zheng
- Biomedical Engineering and Electrical & Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Zhiwen Liu
- Department of Electrical Engineering, The Pennsylvania State University, University Park, PA 16802, USA
| | - Kebin Shi
- State Key Laboratory for Mesoscopic Physics, Department of Physics, Peking University, Beijing 100871, P. R. China; Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan, Shanxi 030006, P. R. China; Peking University Yangtze Delta Institute of Optoelectronics, Nantong, Jiangsu 226010, P. R. China
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25
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Hung ST, Cnossen J, Fan D, Siemons M, Jurriens D, Grußmayer K, Soloviev O, Kapitein LC, Smith CS. SOLEIL: single-objective lens inclined light sheet localization microscopy. BIOMEDICAL OPTICS EXPRESS 2022; 13:3275-3294. [PMID: 35781973 PMCID: PMC9208595 DOI: 10.1364/boe.451634] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 04/19/2022] [Accepted: 04/20/2022] [Indexed: 06/15/2023]
Abstract
High-NA light sheet illumination can improve the resolution of single-molecule localization microscopy (SMLM) by reducing the background fluorescence. These approaches currently require custom-made sample holders or additional specialized objectives, which makes the sample mounting or the optical system complex and therefore reduces the usability of these approaches. Here, we developed a single-objective lens-inclined light sheet microscope (SOLEIL) that is capable of 2D and 3D SMLM in thick samples. SOLEIL combines oblique illumination with point spread function PSF engineering to enable dSTORM imaging in a wide variety of samples. SOLEIL is compatible with standard sample holders and off-the-shelve optics and standard high NA objectives. To accomplish optimal optical sectioning we show that there is an ideal oblique angle and sheet thickness. Furthermore, to show what optical sectioning delivers for SMLM we benchmark SOLEIL against widefield and HILO microscopy with several biological samples. SOLEIL delivers in 15 μm thick Caco2-BBE cells a 374% higher intensity to background ratio and a 54% improvement in the estimated CRLB compared to widefield illumination, and a 184% higher intensity to background ratio and a 20% improvement in the estimated CRLB compared to HILO illumination.
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Affiliation(s)
- Shih-Te Hung
- Delft Center for Systems and Control, Delft University of Technology, Delft, Netherlands
| | - Jelmer Cnossen
- Delft Center for Systems and Control, Delft University of Technology, Delft, Netherlands
| | - Daniel Fan
- Delft Center for Systems and Control, Delft University of Technology, Delft, Netherlands
| | - Marijn Siemons
- Cell Biology, Neurobiology and Biophysics, Department of Biology, Faculty of Science, Utrecht University, Utrecht, Netherlands
| | - Daphne Jurriens
- Cell Biology, Neurobiology and Biophysics, Department of Biology, Faculty of Science, Utrecht University, Utrecht, Netherlands
| | - Kristin Grußmayer
- Department of Bionanoscience and Kavli Institute of Nanoscience Delft, Delft University of Technology, Delft, Netherlands
| | - Oleg Soloviev
- Delft Center for Systems and Control, Delft University of Technology, Delft, Netherlands
- Flexible Optical B.V., Polakweg 10-11, 2288 GG Rijswijk, Netherlands
| | - Lukas C. Kapitein
- Cell Biology, Neurobiology and Biophysics, Department of Biology, Faculty of Science, Utrecht University, Utrecht, Netherlands
| | - Carlas S. Smith
- Delft Center for Systems and Control, Delft University of Technology, Delft, Netherlands
- Department of Imaging Physics, Delft University of Technology, Delft, Netherlands
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26
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Wen Y, Xie D, Liu Z. Advances in protein analysis in single live cells: principle, instrumentation and applications. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116619] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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27
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Optimization of Spot Efficiency of Double-Helix Point Spread Function and Its Application in Intracellular Imaging. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12041778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The nano-scale spatial positioning of nanoparticles in tumor cells can be achieved through the double-helix point spread functions (DH-PSF). Nevertheless, certain issues such as low light intensity concentration of the main lobes, the influence of the side lobes, and the aberrations of the imaging system result in poor image quality and reduce the positioning accuracy of the fluorescent nanoparticles. In this paper, an iterative optimization algorithm that combines Laguerre–Gaussian modes and Zernike polynomials is proposed. The double-helix point spread function, constructed by the linear superposition of the Laguerre–Gaussian mode and Zernike polynomials, is used to express aberrations in the imaging system. The simulation results indicated that the light intensity concentration of the main lobes is increased by 45.51% upon the use of the optimization process. Based on the simulation results, the phase modulation plate was designed and processed while a 4f positioning imaging system was built. Human osteosarcoma cells, labeled by CdTe/CdS/ZnS quantum dots, were used as samples, and the position imaging experiment was carried out. The image information entropy was used as the clarity evaluation index. The experimental results showed that the image information entropy of the DH-PSF position imaging was reduced from 4.22 before optimization to 2.65 after optimization, and the image clarity was significantly improved. This result verified the effectiveness of the optimization method that was proposed in this work.
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28
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Dudok B, Soltesz I. Imaging the endocannabinoid signaling system. J Neurosci Methods 2022; 367:109451. [PMID: 34921843 PMCID: PMC8734437 DOI: 10.1016/j.jneumeth.2021.109451] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 10/18/2021] [Accepted: 12/13/2021] [Indexed: 02/03/2023]
Abstract
The endocannabinoid (eCB) system is one of the most widespread neuromodulatory systems in the mammalian brain, with a multifaceted role in functions ranging from development to synaptic plasticity. Endocannabinoids are synthesized on demand from membrane lipid precursors, and act primarily on a single G-protein coupled receptor type, CB1, to carry out diverse functions. Despite the importance of the eCB system both in healthy brain function and in disease, critically important details of eCB signaling remained unknown. How eCBs are released from the membrane, how these lipid molecules are transported between cells, and how the distribution of their receptors is controlled, remained elusive. Recent advances in optical microscopy methods and biosensor engineering may open up new avenues for studying eCB signaling. We summarize applications of superresolution microscopy using single molecule localization to reveal distinct patterns of nanoscale CB1 distribution in neuronal axons and axon terminals. We review single particle tracking studies using quantum dots that allowed visualizing CB1 trajectories. We highlight the recent development of fluorescent eCB biosensors, that revealed spatiotemporally specific eCB release in live cells and live animals. Finally, we discuss future directions where method development may help to advance a precise understanding of eCB signaling.
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Affiliation(s)
- Barna Dudok
- Department of Neurosurgery, Stanford University, Stanford, CA, USA.
| | - Ivan Soltesz
- Department of Neurosurgery, Stanford University, Stanford, CA, USA
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29
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Teranikar T, Lim J, Ijaseun T, Lee J. Development of Planar Illumination Strategies for Solving Mysteries in the Sub-Cellular Realm. Int J Mol Sci 2022; 23:ijms23031643. [PMID: 35163562 PMCID: PMC8835835 DOI: 10.3390/ijms23031643] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 12/22/2021] [Accepted: 01/25/2022] [Indexed: 02/04/2023] Open
Abstract
Optical microscopy has vastly expanded the frontiers of structural and functional biology, due to the non-invasive probing of dynamic volumes in vivo. However, traditional widefield microscopy illuminating the entire field of view (FOV) is adversely affected by out-of-focus light scatter. Consequently, standard upright or inverted microscopes are inept in sampling diffraction-limited volumes smaller than the optical system's point spread function (PSF). Over the last few decades, several planar and structured (sinusoidal) illumination modalities have offered unprecedented access to sub-cellular organelles and 4D (3D + time) image acquisition. Furthermore, these optical sectioning systems remain unaffected by the size of biological samples, providing high signal-to-noise (SNR) ratios for objective lenses (OLs) with long working distances (WDs). This review aims to guide biologists regarding planar illumination strategies, capable of harnessing sub-micron spatial resolution with a millimeter depth of penetration.
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Affiliation(s)
| | | | | | - Juhyun Lee
- Correspondence: ; Tel.: +1-817-272-6534; Fax: +1-817-272-2251
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30
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Roy A, Zhang W, Jahed Z, Tsai CT, Cui B, Moerner WE. Exploring Cell Surface-Nanopillar Interactions with 3D Super-Resolution Microscopy. ACS NANO 2022; 16:192-210. [PMID: 34582687 PMCID: PMC8830212 DOI: 10.1021/acsnano.1c05313] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Plasma membrane topography has been shown to strongly influence the behavior of many cellular processes such as clathrin-mediated endocytosis, actin rearrangements, and others. Recent studies have used three-dimensional (3D) nanostructures such as nanopillars to imprint well-defined membrane curvatures (the "nano-bio interface"). In these studies, proteins and their interactions were probed by two-dimensional fluorescence microscopy. However, the low resolution and limited axial detail of such methods are not optimal to determine the relative spatial position and distribution of proteins along a 100 nm-diameter object, which is below the optical diffraction limit. Here, we introduce a general method to explore the nanoscale distribution of proteins at the nano-bio interface with 10-20 nm precision using 3D single-molecule super-resolution (SR) localization microscopy. This is achieved by combining a silicone-oil immersion objective and 3D double-helix point spread function microscopy. We carefully adjust the objective to minimize spherical aberrations between quartz nanopillars and the cell. To validate the 3D SR method, we imaged the 3D shape of surface-labeled nanopillars and compared the results with electron microscopy measurements. Turning to transmembrane-anchored labels in cells, the high quality 3D SR reconstructions reveal the membrane tightly wrapping around the nanopillars. Interestingly, the cytoplasmic protein AP-2 involved in clathrin-mediated endocytosis accumulates along the nanopillar above a specific threshold of 1/R (the reciprocal of the radius) membrane curvature. Finally, we observe that AP-2 and actin preferentially accumulate at positive Gaussian curvature near the pillar caps. Our results establish a general method to investigate the nanoscale distribution of proteins at the nano-bio interface using 3D SR microscopy.
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31
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Delgado-Rodriguez P, Brooks CJ, Vaquero JJ, Muñoz-Barrutia A. Innovations in ex vivo Light Sheet Fluorescence Microscopy. PROGRESS IN BIOPHYSICS AND MOLECULAR BIOLOGY 2022; 168:37-51. [PMID: 34293338 DOI: 10.1016/j.pbiomolbio.2021.07.002] [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: 03/12/2021] [Accepted: 07/12/2021] [Indexed: 06/13/2023]
Abstract
Light Sheet Fluorescence Microscopy (LSFM) has revolutionized how optical imaging of biological specimens can be performed as this technique allows to produce 3D fluorescence images of entire samples with a high spatiotemporal resolution. In this manuscript, we aim to provide readers with an overview of the field of LSFM on ex vivo samples. Recent advances in LSFM architectures have made the technique widely accessible and have improved its acquisition speed and resolution, among other features. These developments are strongly supported by quantitative analysis of the huge image volumes produced thanks to the boost in computational capacities, the advent of Deep Learning techniques, and by the combination of LSFM with other imaging modalities. Namely, LSFM allows for the characterization of biological structures, disease manifestations and drug effectivity studies. This information can ultimately serve to develop novel diagnostic procedures, treatments and even to model the organs physiology in healthy and pathological conditions.
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Affiliation(s)
- Pablo Delgado-Rodriguez
- Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, Spain
| | - Claire Jordan Brooks
- Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, Spain
| | - Juan José Vaquero
- Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Arrate Muñoz-Barrutia
- Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.
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32
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Abstract
Molecular assembly in a complex cellular environment is vital for understanding underlying biological mechanisms. Biophysical parameters (such as single-molecule cluster density, cluster-area, pairwise distance, and number of molecules per cluster) related to molecular clusters directly associate with the physiological state (healthy/diseased) of a cell. Using super-resolution imaging along with powerful clustering methods (K-means, Gaussian mixture, and point clustering), we estimated these critical biophysical parameters associated with dense and sparse molecular clusters. We investigated Hemaglutinin (HA) molecules in an Influenza type A disease model. Subsequently, clustering parameters were estimated for transfected NIH3T3 cells. Investigations on test sample (randomly generated clusters) and NIH3T3 cells (expressing Dendra2-Hemaglutinin (Dendra2-HA) photoactivable molecules) show a significant disparity among the existing clustering techniques. It is observed that a single method is inadequate for estimating all relevant biophysical parameters accurately. Thus, a multimodel approach is necessary in order to characterize molecular clusters and determine critical parameters. The proposed study involving optical system development, photoactivable sample synthesis, and advanced clustering methods may facilitate a better understanding of single molecular clusters. Potential applications are in the emerging field of cell biology, biophysics, and fluorescence imaging.
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33
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Ikoma H, Kudo T, Peng Y, Broxton M, Wetzstein G. Deep learning multi-shot 3D localization microscopy using hybrid optical-electronic computing. OPTICS LETTERS 2021; 46:6023-6026. [PMID: 34913909 DOI: 10.1364/ol.441743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 11/03/2021] [Indexed: 06/14/2023]
Abstract
Current 3D localization microscopy approaches are fundamentally limited in their ability to image thick, densely labeled specimens. Here, we introduce a hybrid optical-electronic computing approach that jointly optimizes an optical encoder (a set of multiple, simultaneously imaged 3D point spread functions) and an electronic decoder (a neural-network-based localization algorithm) to optimize 3D localization performance under these conditions. With extensive simulations and biological experiments, we demonstrate that our deep-learning-based microscope achieves significantly higher 3D localization accuracy than existing approaches, especially in challenging scenarios with high molecular density over large depth ranges.
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34
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Gagliano G, Nelson T, Saliba N, Vargas-Hernández S, Gustavsson AK. Light Sheet Illumination for 3D Single-Molecule Super-Resolution Imaging of Neuronal Synapses. Front Synaptic Neurosci 2021; 13:761530. [PMID: 34899261 PMCID: PMC8651567 DOI: 10.3389/fnsyn.2021.761530] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 10/27/2021] [Indexed: 01/02/2023] Open
Abstract
The function of the neuronal synapse depends on the dynamics and interactions of individual molecules at the nanoscale. With the development of single-molecule super-resolution microscopy over the last decades, researchers now have a powerful and versatile imaging tool for mapping the molecular mechanisms behind the biological function. However, imaging of thicker samples, such as mammalian cells and tissue, in all three dimensions is still challenging due to increased fluorescence background and imaging volumes. The combination of single-molecule imaging with light sheet illumination is an emerging approach that allows for imaging of biological samples with reduced fluorescence background, photobleaching, and photodamage. In this review, we first present a brief overview of light sheet illumination and previous super-resolution techniques used for imaging of neurons and synapses. We then provide an in-depth technical review of the fundamental concepts and the current state of the art in the fields of three-dimensional single-molecule tracking and super-resolution imaging with light sheet illumination. We review how light sheet illumination can improve single-molecule tracking and super-resolution imaging in individual neurons and synapses, and we discuss emerging perspectives and new innovations that have the potential to enable and improve single-molecule imaging in brain tissue.
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Affiliation(s)
- Gabriella Gagliano
- Department of Chemistry, Rice University, Houston, TX, United States
- Applied Physics Program, Rice University, Houston, TX, United States
- Smalley-Curl Institute, Rice University, Houston, TX, United States
| | - Tyler Nelson
- Department of Chemistry, Rice University, Houston, TX, United States
- Applied Physics Program, Rice University, Houston, TX, United States
- Smalley-Curl Institute, Rice University, Houston, TX, United States
| | - Nahima Saliba
- Department of Chemistry, Rice University, Houston, TX, United States
| | - Sofía Vargas-Hernández
- Department of Chemistry, Rice University, Houston, TX, United States
- Systems, Synthetic, and Physical Biology Program, Rice University, Houston, TX, United States
- Institute of Biosciences & Bioengineering, Rice University, Houston, TX, United States
| | - Anna-Karin Gustavsson
- Department of Chemistry, Rice University, Houston, TX, United States
- Smalley-Curl Institute, Rice University, Houston, TX, United States
- Institute of Biosciences & Bioengineering, Rice University, Houston, TX, United States
- Department of Biosciences, Rice University, Houston, TX, United States
- Laboratory for Nanophotonics, Rice University, Houston, TX, United States
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35
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Jannasch A, Szilagyi SA, Burmeister M, Davis QT, Hermsdorf GL, De S, Schäffer E. Fast 3D imaging of giant unilamellar vesicles using reflected light-sheet microscopy with single molecule sensitivity. J Microsc 2021; 285:40-51. [PMID: 34786705 DOI: 10.1111/jmi.13070] [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: 08/13/2021] [Accepted: 10/13/2021] [Indexed: 11/29/2022]
Abstract
Observation of highly dynamic processes inside living cells at the single molecule level is key for a better understanding of biological systems. However, imaging of single molecules in living cells is usually limited by the spatial and temporal resolution, photobleaching and the signal-to-background ratio. To overcome these limitations, light-sheet microscopes with thin selective plane illumination, for example, in a reflected geometry with a high numerical aperture imaging objective, have been developed. Here, we developed a reflected light-sheet microscope with active optics for fast, high contrast, two-colour acquisition of z -stacks. We demonstrate fast volume scanning by imaging a two-colour giant unilamellar vesicle (GUV) hemisphere. In addition, the high contrast enabled the imaging and tracking of single lipids in the GUV cap. The enhanced reflected scanning light-sheet microscope enables fast 3D scanning of artificial membrane systems and potentially live cells with single-molecule sensitivity and thereby could provide quantitative and molecular insight into the operation of cells.
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Affiliation(s)
- Anita Jannasch
- Center for Plant Molecular Biology (ZMBP), University of Tübingen, Auf der Morgenstelle 32, Tübingen, Germany
| | - Sven A Szilagyi
- Center for Plant Molecular Biology (ZMBP), University of Tübingen, Auf der Morgenstelle 32, Tübingen, Germany.,Max Planck Institute for Solid State Physics, Heisenbergstrasse 1, Stuttgart, Germany
| | - Moritz Burmeister
- Center for Plant Molecular Biology (ZMBP), University of Tübingen, Auf der Morgenstelle 32, Tübingen, Germany
| | - Q Tyrell Davis
- Center for Plant Molecular Biology (ZMBP), University of Tübingen, Auf der Morgenstelle 32, Tübingen, Germany.,School of Life Sciences, University of Dundee, Dow Street, Dundee, Scotland, UK
| | - Gero L Hermsdorf
- Center for Plant Molecular Biology (ZMBP), University of Tübingen, Auf der Morgenstelle 32, Tübingen, Germany
| | - Suman De
- Center for Plant Molecular Biology (ZMBP), University of Tübingen, Auf der Morgenstelle 32, Tübingen, Germany.,Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Broomhall, Sheffield, UK
| | - Erik Schäffer
- Center for Plant Molecular Biology (ZMBP), University of Tübingen, Auf der Morgenstelle 32, Tübingen, Germany
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36
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Zepeda O J, Bishop LDC, Dutta C, Sarkar-Banerjee S, Leung WW, Landes CF. Untying the Gordian KNOT: Unbiased Single Particle Tracking Using Point Clouds and Adaptive Motion Analysis. J Phys Chem A 2021; 125:8723-8733. [PMID: 34559965 DOI: 10.1021/acs.jpca.1c06100] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Achieving mechanistic understanding of transport in complex environments such as inside cells or at polymer interfaces is challenging. We need better ways to image transport in 3-D and better single particle tracking algorithms to determine transport that are not systemically biased toward any classical motion model. Here we present an unbiased single particle tracking algorithm: Knowing Nothing Outside Tracking (KNOT). KNOT uses point clouds provided by iterative deconvolution to educate individual particle localizations and link particle positions between frames to achieve 2-D and 3-D tracking. Information from prior point clouds fuels an independent adaptive motion model for each particle to avoid global models that could introduce biases. KNOT competes with or surpasses other 2-D methods from the 2012 particle tracking challenge while accurately tracking adsorption dynamics of proteins on polymer surfaces and early endosome transport in live cells in 3-D. We apply KNOT to study 3-D endosome transport to reveal new physical insight into locally directed and diffusive transport in live cells. Our analysis demonstrates better accuracy in classifying local motion and its direction compared to previous methods, revealing intricate intracellular transport heterogeneities.
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Affiliation(s)
- Jorge Zepeda O
- Department of Electrical and Computer Engineering, Rice University, Houston, Texas 77005, United States
| | - Logan D C Bishop
- Department of Chemistry, Rice University, Houston, Texas 77005, United States
| | - Chayan Dutta
- Department of Chemistry, Rice University, Houston, Texas 77005, United States
| | | | - Wesley W Leung
- Applied Physics Graduate Program, Smalley-Curl Institute, Rice University, Houston, Texas 77005, United States
| | - Christy F Landes
- Department of Electrical and Computer Engineering, Rice University, Houston, Texas 77005, United States.,Department of Chemistry, Rice University, Houston, Texas 77005, United States.,Department of Chemical and Biomolecular Engineering, Rice University, Houston, Texas 77005, United States
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37
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Chan JM, Kordon AC, Zhang R, Wang M. Direct visualization of bottlebrush polymer conformations in the solid state. Proc Natl Acad Sci U S A 2021; 118:e2109534118. [PMID: 34599105 PMCID: PMC8501853 DOI: 10.1073/pnas.2109534118] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/24/2021] [Indexed: 12/28/2022] Open
Abstract
Although the behavior of single chains is integral to the foundation of polymer science, a clear and convincing image of single chains in the solid state has still not been captured. For bottlebrush polymers, understanding their conformation in bulk materials is especially important because their extended backbones may explain their self-assembly and mechanical properties that have been attractive for many applications. Here, single-bottlebrush chains are visualized using single-molecule localization microscopy to study their conformations in a polymer melt composed of linear polymers. By observing bottlebrush polymers with different side chain lengths and grafting densities, we observe the relationship between molecular architecture and conformation. We show that bottlebrushes are significantly more rigid in the solid state than previously measured in solution, and the scaling relationships between persistence length and side chain length deviate from those predicted by theory and simulation. We discuss these discrepancies using mechanisms inspired by polymer-grafted nanoparticles, a conceptually similar system. Our work provides a platform for visualizing single-polymer chains in an environment made up entirely of other polymers, which could answer a number of open questions in polymer science.
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Affiliation(s)
- Jonathan M Chan
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL 60208
| | - Avram C Kordon
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL 60208
| | - Ruimeng Zhang
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL 60208
| | - Muzhou Wang
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL 60208
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38
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Subedi NR, Yaraghi S, Jung PS, Kukal G, McDonald AG, Christodoulides DN, Vasdekis AE. Airy light-sheet Raman imaging. OPTICS EXPRESS 2021; 29:31941-31951. [PMID: 34615275 DOI: 10.1364/oe.435293] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 09/02/2021] [Indexed: 06/13/2023]
Abstract
Light-sheet fluorescence microscopy has greatly improved the speed and overall photostability of optically sectioning cellular and multi-cellular specimens. Similar gains have also been conferred by light-sheet Raman imaging; these schemes, however, rely on diffraction limited Gaussian beams that hinder the uniformity and size of the imaging field-of-view, and, as such, the resulting throughput rates. Here, we demonstrate that a digitally scanned Airy beam increases the Raman imaging throughput rates by more than an order of magnitude than conventional diffraction-limited beams. Overall, this, spectrometer-less, approach enabled 3D imaging of microparticles with high contrast and 1 µm axial resolution at 300 msec integration times per plane and orders of magnitude lower irradiation density than coherent Raman imaging schemes. We detail the apparatus and its performance, as well as its compatibility with fluorescence light-sheet and quantitative-phase imaging towards rapid and low phototoxicity multimodal imaging.
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39
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Boka AP, Mukherjee A, Mir M. Single-molecule tracking technologies for quantifying the dynamics of gene regulation in cells, tissue and embryos. Development 2021; 148:272071. [PMID: 34490887 DOI: 10.1242/dev.199744] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
For decades, we have relied on population and time-averaged snapshots of dynamic molecular scale events to understand how genes are regulated during development and beyond. The advent of techniques to observe single-molecule kinetics in increasingly endogenous contexts, progressing from in vitro studies to living embryos, has revealed how much we have missed. Here, we provide an accessible overview of the rapidly expanding family of technologies for single-molecule tracking (SMT), with the goal of enabling the reader to critically analyse single-molecule studies, as well as to inspire the application of SMT to their own work. We start by overviewing the basics of and motivation for SMT experiments, and the trade-offs involved when optimizing parameters. We then cover key technologies, including fluorescent labelling, excitation and detection optics, localization and tracking algorithms, and data analysis. Finally, we provide a summary of selected recent applications of SMT to study the dynamics of gene regulation.
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Affiliation(s)
- Alan P Boka
- Biochemistry and Molecular Biophysics Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Apratim Mukherjee
- Center for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Mustafa Mir
- Center for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.,Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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40
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Jing Y, Zhang C, Yu B, Lin D, Qu J. Super-Resolution Microscopy: Shedding New Light on In Vivo Imaging. Front Chem 2021; 9:746900. [PMID: 34595156 PMCID: PMC8476955 DOI: 10.3389/fchem.2021.746900] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Accepted: 08/26/2021] [Indexed: 12/28/2022] Open
Abstract
Over the past two decades, super-resolution microscopy (SRM), which offered a significant improvement in resolution over conventional light microscopy, has become a powerful tool to visualize biological activities in both fixed and living cells. However, completely understanding biological processes requires studying cells in a physiological context at high spatiotemporal resolution. Recently, SRM has showcased its ability to observe the detailed structures and dynamics in living species. Here we summarized recent technical advancements in SRM that have been successfully applied to in vivo imaging. Then, improvements in the labeling strategies are discussed together with the spectroscopic and chemical demands of the fluorophores. Finally, we broadly reviewed the current applications for super-resolution techniques in living species and highlighted some inherent challenges faced in this emerging field. We hope that this review could serve as an ideal reference for researchers as well as beginners in the relevant field of in vivo super resolution imaging.
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Affiliation(s)
| | | | | | - Danying Lin
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, China
| | - Junle Qu
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, China
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Xue B, Zhou C, Qin Y, Li Y, Sun Y, Chang L, Shao S, Li Y, Zhang M, Sun C, He R, Peter Su Q, Sun Y. PN-ImTLSM facilitates high-throughput low background single-molecule localization microscopy deep in the cell. BIOPHYSICS REPORTS 2021; 7:313-325. [PMID: 37287761 PMCID: PMC10233473 DOI: 10.52601/bpr.2021.210014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 06/15/2021] [Indexed: 06/09/2023] Open
Abstract
When imaging the nucleus structure of a cell, the out-of-focus fluorescence acts as background and hinders the detection of weak signals. Light-sheet fluorescence microscopy (LSFM) is a wide-field imaging approach which has the best of both background removal and imaging speed. However, the commonly adopted orthogonal excitation/detection scheme is hard to be applied to single-cell imaging due to steric hindrance. For LSFMs capable of high spatiotemporal single-cell imaging, the complex instrument design and operation largely limit their throughput of data collection. Here, we propose an approach for high-throughput background-free fluorescence imaging of single cells facilitated by the Immersion Tilted Light Sheet Microscopy (ImTLSM). ImTLSM is based on a light-sheet projected off the optical axis of a water immersion objective. With the illumination objective and the detection objective placed opposingly, ImTLSM can rapidly patrol and optically section multiple individual cells while maintaining single-molecule detection sensitivity and resolution. Further, the simplicity and robustness of ImTLSM in operation and maintenance enables high-throughput image collection to establish background removal datasets for deep learning. Using a deep learning model to train the mapping from epi-illumination images to ImTLSM illumination images, namely PN-ImTLSM, we demonstrated cross-modality fluorescence imaging, transforming the epi-illumination image to approach the background removal performance obtained with ImTLSM. We demonstrated that PN-ImTLSM can be generalized to large-field homogeneous illumination imaging, thereby further improving the imaging throughput. In addition, compared to commonly used background removal methods, PN-ImTLSM showed much better performance for areas where the background intensity changes sharply in space, facilitating high-density single-molecule localization microscopy. In summary, PN-ImTLSM paves the way for background-free fluorescence imaging on ordinary inverted microscopes.
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Affiliation(s)
- Boxin Xue
- State Key Laboratory of Membrane Biology, Biomedical Pioneer Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing 100871, China
- College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Caiwei Zhou
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Yizhi Qin
- State Key Laboratory of Membrane Biology, Biomedical Pioneer Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing 100871, China
| | - Yongzheng Li
- State Key Laboratory of Membrane Biology, Biomedical Pioneer Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing 100871, China
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Yuao Sun
- State Key Laboratory of Membrane Biology, Biomedical Pioneer Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing 100871, China
| | - Lei Chang
- State Key Laboratory of Membrane Biology, Biomedical Pioneer Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing 100871, China
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou 510005, China
| | - Shipeng Shao
- State Key Laboratory of Membrane Biology, Biomedical Pioneer Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing 100871, China
- Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Yongliang Li
- Department of Geriatric Dentistry, Peking University School and Hospital of Stomatology, Beijing 100081, China
| | - Mengling Zhang
- State Key Laboratory of Membrane Biology, Biomedical Pioneer Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing 100871, China
| | - Chaoying Sun
- State Key Laboratory of Membrane Biology, Biomedical Pioneer Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing 100871, China
| | - Renxi He
- State Key Laboratory of Membrane Biology, Biomedical Pioneer Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing 100871, China
| | - Qian Peter Su
- State Key Laboratory of Membrane Biology, Biomedical Pioneer Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing 100871, China
- School of Biomedical Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW 2007, Australia
| | - Yujie Sun
- State Key Laboratory of Membrane Biology, Biomedical Pioneer Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing 100871, China
- School of Future Technology, Peking University, Beijing 100871, China
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42
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Vargas-Ordaz EJ, Gorelick S, York HM, Liu B, Halls ML, Arumugam S, Neild A, de Marco A, Cadarso VJ. Three-dimensional imaging on a chip using optofluidics light-sheet fluorescence microscopy. LAB ON A CHIP 2021; 21:2945-2954. [PMID: 34124739 DOI: 10.1039/d1lc00098e] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Volumetric, sub-micron to micron level resolution imaging is necessary to assay phenotypes or characteristics at the sub-cellular/organelle scale. However, three-dimensional fluorescence imaging of cells is typically low throughput or compromises on the achievable resolution in space and time. Here, we capitalise on the flow control capabilities of microfluidics and combine it with microoptics to integrate light-sheet based imaging directly into a microfluidic chip. Our optofluidic system flows suspended cells through a sub-micrometer thick light-sheet formed using micro-optical components that are cast directly in polydimethylsiloxane (PDMS). This design ensures accurate alignment, drift-free operation, and easy integration with conventional microfluidics, while providing sufficient spatial resolution, optical sectioning and volumetric data acquisition. We demonstrate imaging rates of 120 ms per cell at sub-μm resolution, that allow extraction of complex cellular phenotypes, exemplified by imaging of cell clusters, receptor distribution, and the analysis of endosomal size changes.
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Affiliation(s)
- Erick J Vargas-Ordaz
- Department of Mechanical and Aerospace Engineering, Monash University, Clayton, VIC 3800, Australia. and Centre to Impact Antimicrobial Resistance - Sustainable Solutions, Monash University, Clayton, 3800, Victoria, Australia
| | - Sergey Gorelick
- Department of Biochemistry and Molecular Biology, Monash University, 3800 Clayton, Victoria, Australia. and ARC Centre of Excellence in Advanced Molecular Imaging, Monash University, 3800 Clayton, Victoria, Australia
| | - Harrison M York
- ARC Centre of Excellence in Advanced Molecular Imaging, Monash University, 3800 Clayton, Victoria, Australia and European Molecular Biology Laboratory (EMBL) Australia, Monash University, 3800 Clayton, Victoria, Australia and Department of Anatomy and Developmental Biology, Monash University, 3800 Clayton, Victoria, Australia
| | - Bonan Liu
- Drug Discovery Biology Theme, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville 3052, Victoria, Australia
| | - Michelle L Halls
- Drug Discovery Biology Theme, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville 3052, Victoria, Australia
| | - Senthil Arumugam
- ARC Centre of Excellence in Advanced Molecular Imaging, Monash University, 3800 Clayton, Victoria, Australia and European Molecular Biology Laboratory (EMBL) Australia, Monash University, 3800 Clayton, Victoria, Australia and Department of Anatomy and Developmental Biology, Monash University, 3800 Clayton, Victoria, Australia
| | - Adrian Neild
- Department of Mechanical and Aerospace Engineering, Monash University, Clayton, VIC 3800, Australia.
| | - Alex de Marco
- Department of Biochemistry and Molecular Biology, Monash University, 3800 Clayton, Victoria, Australia. and ARC Centre of Excellence in Advanced Molecular Imaging, Monash University, 3800 Clayton, Victoria, Australia
| | - Victor J Cadarso
- Department of Mechanical and Aerospace Engineering, Monash University, Clayton, VIC 3800, Australia. and Centre to Impact Antimicrobial Resistance - Sustainable Solutions, Monash University, Clayton, 3800, Victoria, Australia and The Melbourne Centre for Nanofabrication, Victorian Node - Australian National Fabrication Facility, Clayton, Victoria 3800, Australia
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43
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Rovira-Clavé X, Jiang S, Bai Y, Zhu B, Barlow G, Bhate S, Coskun AF, Han G, Ho CMK, Hitzman C, Chen SY, Bava FA, Nolan GP. Subcellular localization of biomolecules and drug distribution by high-definition ion beam imaging. Nat Commun 2021; 12:4628. [PMID: 34330905 PMCID: PMC8324837 DOI: 10.1038/s41467-021-24822-1] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 06/02/2021] [Indexed: 12/03/2022] Open
Abstract
Simultaneous visualization of the relationship between multiple biomolecules and their ligands or small molecules at the nanometer scale in cells will enable greater understanding of how biological processes operate. We present here high-definition multiplex ion beam imaging (HD-MIBI), a secondary ion mass spectrometry approach capable of high-parameter imaging in 3D of targeted biological entities and exogenously added structurally-unmodified small molecules. With this technology, the atomic constituents of the biomolecules themselves can be used in our system as the “tag” and we demonstrate measurements down to ~30 nm lateral resolution. We correlated the subcellular localization of the chemotherapy drug cisplatin simultaneously with five subnuclear structures. Cisplatin was preferentially enriched in nuclear speckles and excluded from closed-chromatin regions, indicative of a role for cisplatin in active regions of chromatin. Unexpectedly, cells surviving multi-drug treatment with cisplatin and the BET inhibitor JQ1 demonstrated near total cisplatin exclusion from the nucleus, suggesting that selective subcellular drug relocalization may modulate resistance to this important chemotherapeutic treatment. Multiplexed high-resolution imaging techniques, such as HD-MIBI, will enable studies of biomolecules and drug distributions in biologically relevant subcellular microenvironments by visualizing the processes themselves in concert, rather than inferring mechanism through surrogate analyses. Multiplexed ion beam imaging can provide subcellular localisation information but with limited resolution. Here the authors report an ion beam imaging method with nanoscale resolution which they use to assess the subcellular distribution of cisplatin.
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Affiliation(s)
- Xavier Rovira-Clavé
- Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA.,Department of Pathology, Stanford University, Stanford, CA, USA
| | - Sizun Jiang
- Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA.,Department of Pathology, Stanford University, Stanford, CA, USA
| | - Yunhao Bai
- Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA.,Department of Pathology, Stanford University, Stanford, CA, USA
| | - Bokai Zhu
- Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA.,Department of Pathology, Stanford University, Stanford, CA, USA
| | - Graham Barlow
- Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA.,Department of Pathology, Stanford University, Stanford, CA, USA
| | - Salil Bhate
- Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA.,Department of Pathology, Stanford University, Stanford, CA, USA.,Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Ahmet F Coskun
- Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA.,Department of Pathology, Stanford University, Stanford, CA, USA
| | - Guojun Han
- Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA.,Department of Pathology, Stanford University, Stanford, CA, USA
| | - Chin-Min Kimmy Ho
- Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA.,Department of Pathology, Stanford University, Stanford, CA, USA.,Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan
| | - Chuck Hitzman
- Stanford Nano Shared Facility, Stanford University, Stanford, CA, USA
| | - Shih-Yu Chen
- Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA.,Department of Pathology, Stanford University, Stanford, CA, USA.,Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Felice-Alessio Bava
- Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA.,Department of Pathology, Stanford University, Stanford, CA, USA
| | - Garry P Nolan
- Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA. .,Department of Pathology, Stanford University, Stanford, CA, USA.
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44
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Opatovski N, Shalev Ezra Y, Weiss LE, Ferdman B, Orange-Kedem R, Shechtman Y. Multiplexed PSF Engineering for Three-Dimensional Multicolor Particle Tracking. NANO LETTERS 2021; 21:5888-5895. [PMID: 34213332 DOI: 10.1021/acs.nanolett.1c02068] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Three-dimensional spatiotemporal tracking of microscopic particles in multiple colors is a challenging optical imaging task. Existing approaches require a trade-off between photon efficiency, field of view, mechanical complexity, spectral specificity, and speed. Here, we introduce multiplexed point-spread-function engineering that achieves photon-efficient, 3D multicolor particle tracking over a large field of view. This is accomplished by first chromatically splitting the emission path of a microscope to different channels, engineering the point-spread function of each, and then recombining them onto the same region of the camera. We demonstrate our technique for simultaneously tracking five types of emitters in vitro as well as colocalization of DNA loci in live yeast cells.
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45
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Coelho S, Baek J, Gooding JJ, Gaus K. Building a Total Internal Reflection Microscope (TIRF) with Active Stabilization (Feedback SMLM). Bio Protoc 2021; 11:e4074. [PMID: 34327271 DOI: 10.21769/bioprotoc.4074] [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: 12/17/2020] [Revised: 03/16/2021] [Accepted: 04/05/2021] [Indexed: 11/02/2022] Open
Abstract
The data quality of high-resolution imaging can be markedly improved with active stabilization, which is based on feedback loops within the microscope that maintain the sample in the same location throughout the experiment. The purpose is to provide a highly accurate focus lock, therefore eliminating drift and improving localization precision. Here, we describe a step-by-step protocol for building a total internal reflection microscope combined with the feedback loops necessary for sample and detection stabilization, which we routinely use in single-molecule localization microscopy (SMLM). The performance of the final microscope with feedback loops, called feedback SMLM, has previously been described. We demonstrate how to build a replica of our system and include a list of the necessary optical components, tips, and an alignment strategy.
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Affiliation(s)
- Simao Coelho
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, Australia.,ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia.,Structural Biology Program, Memorial Sloan Kettering Cancer Center, New York, USA
| | - Jongho Baek
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, Australia.,ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia
| | - J Justin Gooding
- School of Chemistry and Australian Centre of NanoMedicine, University of New South Wales, Sydney, Australia.,ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, University of New South Wales, Sydney, Australia
| | - Katharina Gaus
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, Australia.,ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia
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46
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Abstract
Noninvasive optical imaging with deep tissue penetration depth and high spatiotemporal resolution is important to longitudinally studying the biology at the single-cell level in live mammals, but has been challenging due to light scattering. Here, we developed near-infrared II (NIR-II) (1,000 to 1,700 nm) structured-illumination light-sheet microscopy (NIR-II SIM) with ultralong excitation and emission wavelengths up to ∼1,540 and ∼1,700 nm, respectively, suppressing light scattering to afford large volumetric three-dimensional (3D) imaging of tissues with deep-axial penetration depths. Integrating structured illumination into NIR-II light-sheet microscopy further diminished background and improved spatial resolution by approximately twofold. In vivo oblique NIR-II SIM was performed noninvasively for 3D volumetric multiplexed molecular imaging of the CT26 tumor microenvironment in mice, longitudinally mapping out CD4, CD8, and OX40 at the single-cell level in response to immunotherapy by cytosine-phosphate-guanine (CpG), a Toll-like receptor 9 (TLR-9) agonist combined with OX40 antibody treatment. NIR-II SIM affords an additional tool for noninvasive volumetric molecular imaging of immune cells in live mammals.
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47
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Single-Molecule Imaging in Living Plant Cells: A Methodological Review. Int J Mol Sci 2021; 22:ijms22105071. [PMID: 34064786 PMCID: PMC8151321 DOI: 10.3390/ijms22105071] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 05/06/2021] [Accepted: 05/09/2021] [Indexed: 12/23/2022] Open
Abstract
Single-molecule imaging is emerging as a revolutionary approach to studying fundamental questions in plants. However, compared with its use in animals, the application of single-molecule imaging in plants is still underexplored. Here, we review the applications, advantages, and challenges of single-molecule fluorescence imaging in plant systems from the perspective of methodology. Firstly, we provide a general overview of single-molecule imaging methods and their principles. Next, we summarize the unprecedented quantitative details that can be obtained using single-molecule techniques compared to bulk assays. Finally, we discuss the main problems encountered at this stage and provide possible solutions.
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48
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Dahlberg PD, Moerner WE. Cryogenic Super-Resolution Fluorescence and Electron Microscopy Correlated at the Nanoscale. Annu Rev Phys Chem 2021; 72:253-278. [PMID: 33441030 PMCID: PMC8877847 DOI: 10.1146/annurev-physchem-090319-051546] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/28/2023]
Abstract
We review the emerging method of super-resolved cryogenic correlative light and electron microscopy (srCryoCLEM). Super-resolution (SR) fluorescence microscopy and cryogenic electron tomography (CET) are both powerful techniques for observing subcellular organization, but each approach has unique limitations. The combination of the two brings the single-molecule sensitivity and specificity of SR to the detailed cellular context and molecular scale resolution of CET. The resulting correlative data is more informative than the sum of its parts. The correlative images can be used to pinpoint the positions of fluorescently labeled proteins in the high-resolution context of CET with nanometer-scale precision and/or to identify proteins in electron-dense structures. The execution of srCryoCLEM is challenging and the approach is best described as a method that is still in its infancy with numerous technical challenges. In this review, we describe state-of-the-art srCryoCLEM experiments, discuss the most pressing challenges, and give a brief outlook on future applications.
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Affiliation(s)
- Peter D Dahlberg
- Department of Chemistry, Stanford University, Stanford, California 94305, USA;
| | - W E Moerner
- Department of Chemistry, Stanford University, Stanford, California 94305, USA;
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49
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Choquet D, Sainlos M, Sibarita JB. Advanced imaging and labelling methods to decipher brain cell organization and function. Nat Rev Neurosci 2021; 22:237-255. [PMID: 33712727 DOI: 10.1038/s41583-021-00441-z] [Citation(s) in RCA: 60] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/05/2021] [Indexed: 01/31/2023]
Abstract
The brain is arguably the most complex organ. The branched and extended morphology of nerve cells, their subcellular complexity, the multiplicity of brain cell types as well as their intricate connectivity and the scattering properties of brain tissue present formidable challenges to the understanding of brain function. Neuroscientists have often been at the forefront of technological and methodological developments to overcome these hurdles to visualize, quantify and modify cell and network properties. Over the last few decades, the development of advanced imaging methods has revolutionized our approach to explore the brain. Super-resolution microscopy and tissue imaging approaches have recently exploded. These instrumentation-based innovations have occurred in parallel with the development of new molecular approaches to label protein targets, to evolve new biosensors and to target them to appropriate cell types or subcellular compartments. We review the latest developments for labelling and functionalizing proteins with small localization and functionalized reporters. We present how these molecular tools are combined with the development of a wide variety of imaging methods that break either the diffraction barrier or the tissue penetration depth limits. We put these developments in perspective to emphasize how they will enable step changes in our understanding of the brain.
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Affiliation(s)
- Daniel Choquet
- University of Bordeaux, CNRS, Interdisciplinary Institute for Neuroscience, IINS, UMR 5297, Bordeaux, France. .,University of Bordeaux, CNRS, INSERM, Bordeaux Imaging Center, BIC, UMS 3420, US 4, Bordeaux, France.
| | - Matthieu Sainlos
- University of Bordeaux, CNRS, Interdisciplinary Institute for Neuroscience, IINS, UMR 5297, Bordeaux, France.
| | - Jean-Baptiste Sibarita
- University of Bordeaux, CNRS, Interdisciplinary Institute for Neuroscience, IINS, UMR 5297, Bordeaux, France.
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50
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Zhang X, Man Y, Zhuang X, Shen J, Zhang Y, Cui Y, Yu M, Xing J, Wang G, Lian N, Hu Z, Ma L, Shen W, Yang S, Xu H, Bian J, Jing Y, Li X, Li R, Mao T, Jiao Y, Sodmergen, Ren H, Lin J. Plant multiscale networks: charting plant connectivity by multi-level analysis and imaging techniques. SCIENCE CHINA-LIFE SCIENCES 2021; 64:1392-1422. [PMID: 33974222 DOI: 10.1007/s11427-020-1910-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 03/04/2021] [Indexed: 12/21/2022]
Abstract
In multicellular and even single-celled organisms, individual components are interconnected at multiscale levels to produce enormously complex biological networks that help these systems maintain homeostasis for development and environmental adaptation. Systems biology studies initially adopted network analysis to explore how relationships between individual components give rise to complex biological processes. Network analysis has been applied to dissect the complex connectivity of mammalian brains across different scales in time and space in The Human Brain Project. In plant science, network analysis has similarly been applied to study the connectivity of plant components at the molecular, subcellular, cellular, organic, and organism levels. Analysis of these multiscale networks contributes to our understanding of how genotype determines phenotype. In this review, we summarized the theoretical framework of plant multiscale networks and introduced studies investigating plant networks by various experimental and computational modalities. We next discussed the currently available analytic methodologies and multi-level imaging techniques used to map multiscale networks in plants. Finally, we highlighted some of the technical challenges and key questions remaining to be addressed in this emerging field.
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Affiliation(s)
- Xi Zhang
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, 100083, China.,College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China
| | - Yi Man
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, 100083, China.,College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China
| | - Xiaohong Zhuang
- School of Life Sciences, Centre for Cell & Developmental Biology and State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Hong Kong, 999077, China
| | - Jinbo Shen
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, 311300, China
| | - Yi Zhang
- Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, College of Life Science, Beijing Normal University, Beijing, 100875, China
| | - Yaning Cui
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, 100083, China.,College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China
| | - Meng Yu
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, 100083, China.,College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China
| | - Jingjing Xing
- Key Laboratory of Plant Stress Biology, School of Life Sciences, Henan University, Kaifeng, 457004, China
| | - Guangchao Wang
- College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China
| | - Na Lian
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, 100083, China.,College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China
| | - Zijian Hu
- College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China
| | - Lingyu Ma
- College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China
| | - Weiwei Shen
- College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China
| | - Shunyao Yang
- College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China
| | - Huimin Xu
- College of Biological Sciences, China Agricultural University, Beijing, 100193, China
| | - Jiahui Bian
- College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China
| | - Yanping Jing
- College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China
| | - Xiaojuan Li
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, 100083, China.,College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China
| | - Ruili Li
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, 100083, China.,College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China
| | - Tonglin Mao
- State Key Laboratory of Plant Physiology and Biochemistry, Department of Plant Sciences, College of Biological Sciences, China Agricultural University, Beijing, 100193, China
| | - Yuling Jiao
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, and National Center for Plant Gene Research, Beijing, 100101, China
| | - Sodmergen
- Key Laboratory of Ministry of Education for Cell Proliferation and Differentiation, College of Life Sciences, Peking University, Beijing, 100871, China
| | - Haiyun Ren
- Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, College of Life Science, Beijing Normal University, Beijing, 100875, China
| | - Jinxing Lin
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, 100083, China. .,College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China.
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