1
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Winkelmann H, Richter CP, Eising J, Piehler J, Kurre R. Correlative single-molecule and structured illumination microscopy of fast dynamics at the plasma membrane. Nat Commun 2024; 15:5813. [PMID: 38987559 PMCID: PMC11236984 DOI: 10.1038/s41467-024-49876-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 06/21/2024] [Indexed: 07/12/2024] Open
Abstract
Total internal reflection fluorescence (TIRF) microscopy offers powerful means to uncover the functional organization of proteins in the plasma membrane with very high spatial and temporal resolution. Traditional TIRF illumination, however, shows a Gaussian intensity profile, which is typically deteriorated by overlaying interference fringes hampering precise quantification of intensities-an important requisite for quantitative analyses in single-molecule localization microscopy (SMLM). Here, we combine flat-field illumination by using a standard πShaper with multi-angular TIR illumination by incorporating a spatial light modulator compatible with fast super-resolution structured illumination microscopy (SIM). This distinct combination enables quantitative multi-color SMLM with a highly homogenous illumination. By using a dual camera setup with optimized image splitting optics, we achieve a versatile combination of SMLM and SIM with up to three channels. We deploy this setup for establishing robust detection of receptor stoichiometries based on single-molecule intensity analysis and single-molecule Förster resonance energy transfer (smFRET). Homogeneous illumination furthermore enables long-term tracking and localization microscopy (TALM) of cell surface receptors identifying spatial heterogeneity of mobility and accessibility in the plasma membrane. By combination of TALM and SIM, spatially and molecularly heterogenous diffusion properties can be correlated with nanoscale cytoskeletal organization and dynamics.
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Affiliation(s)
- Hauke Winkelmann
- Division of Biophysics, Department of Biology/Chemistry, Osnabrück University, Barbarastraße 11, D-49076, Osnabrück, Germany
| | - Christian P Richter
- Division of Biophysics, Department of Biology/Chemistry, Osnabrück University, Barbarastraße 11, D-49076, Osnabrück, Germany
| | - Jasper Eising
- Division of Biophysics, Department of Biology/Chemistry, Osnabrück University, Barbarastraße 11, D-49076, Osnabrück, Germany
| | - Jacob Piehler
- Division of Biophysics, Department of Biology/Chemistry, Osnabrück University, Barbarastraße 11, D-49076, Osnabrück, Germany.
- Center for Cellular Nanoanalytics, Department of Biology/Chemistry, Osnabrück University, Barbarastraße 11, D-49076, Osnabrück, Germany.
| | - Rainer Kurre
- Division of Biophysics, Department of Biology/Chemistry, Osnabrück University, Barbarastraße 11, D-49076, Osnabrück, Germany.
- Center for Cellular Nanoanalytics, Department of Biology/Chemistry, Osnabrück University, Barbarastraße 11, D-49076, Osnabrück, Germany.
- Integrated Bioimaging Facility iBiOs, Department of Biology/Chemistry, Osnabrück University, Barbarastraße 11, D-49076, Osnabrück, Germany.
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2
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Senftleben ML, Bajor A, Hirata E, Abrahamsson S, Brismar H. Fast volumetric multifocus structured illumination microscopy of subcellular dynamics in living cells. BIOMEDICAL OPTICS EXPRESS 2024; 15:2281-2292. [PMID: 38633103 PMCID: PMC11019691 DOI: 10.1364/boe.516261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 02/21/2024] [Accepted: 03/04/2024] [Indexed: 04/19/2024]
Abstract
Studying the nanoscale dynamics of subcellular structures is possible with 2D structured illumination microscopy (SIM). The method allows for acquisition with improved resolution over typical widefield. For 3D samples, the acquisition speed is inherently limited by the need to acquire sequential two-dimensional planes to create a volume. Here, we present a development of multifocus SIM designed to provide high volumetric frame rate by using fast synchronized electro-optical components. We demonstrate the high volumetric imaging capacity of the microscope by recording the dynamics of microtubule and endoplasmatic reticulum in living cells at up to 2.3 super resolution volumes per second for a total volume of 30 × 30 × 1.8 µm3.
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Affiliation(s)
- Maximilian Lukas Senftleben
- Department of Applied Physics, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden
| | - Antone Bajor
- Baskin School of Engineering, University of California Santa Cruz, 1156 High Street, Santa Cruz, 95064, CA, USA
| | - Eduardo Hirata
- Department of Applied Physics, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden
| | - Sara Abrahamsson
- Baskin School of Engineering, University of California Santa Cruz, 1156 High Street, Santa Cruz, 95064, CA, USA
| | - Hjalmar Brismar
- Department of Applied Physics, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden
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3
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Ward EN, McClelland RM, Lamb JR, Rubio-Sánchez R, Christensen CN, Mazumder B, Kapsiani S, Mascheroni L, Di Michele L, Kaminski Schierle GS, Kaminski CF. Fast, multicolour optical sectioning over extended fields of view with patterned illumination and machine learning. BIOMEDICAL OPTICS EXPRESS 2024; 15:1074-1088. [PMID: 38404329 PMCID: PMC10890859 DOI: 10.1364/boe.510912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 12/22/2023] [Accepted: 01/09/2024] [Indexed: 02/27/2024]
Abstract
Structured illumination can reject out-of-focus signal from a sample, enabling high-speed and high-contrast imaging over large areas with widefield detection optics. However, this optical sectioning technique is currently limited by image reconstruction artefacts and poor performance at low signal-to-noise ratios. We combine multicolour interferometric pattern generation with machine learning to achieve high-contrast, real-time reconstruction of image data that is robust to background noise and sample motion. We validate the method in silico and demonstrate imaging of diverse specimens, from fixed and live biological samples to synthetic biosystems, reconstructing data live at 11 Hz across a 44 × 44μm2 field of view, and demonstrate image acquisition speeds exceeding 154 Hz.
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Affiliation(s)
- Edward N. Ward
- Department of Chemical Engineering and
Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
| | - Rebecca M. McClelland
- Department of Chemical Engineering and
Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
| | - Jacob R. Lamb
- Department of Chemical Engineering and
Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
| | - Roger Rubio-Sánchez
- Department of Chemical Engineering and
Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
- fabriCELL, Molecular Sciences Research Hub,
Imperial College London, London, W12 0BZ,
UK
| | - Charles N. Christensen
- Department of Chemical Engineering and
Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
| | - Bismoy Mazumder
- Department of Chemical Engineering and
Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
| | - Sofia Kapsiani
- Department of Chemical Engineering and
Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
| | - Luca Mascheroni
- Department of Chemical Engineering and
Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
| | - Lorenzo Di Michele
- Department of Chemical Engineering and
Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
- fabriCELL, Molecular Sciences Research Hub,
Imperial College London, London, W12 0BZ,
UK
| | | | - Clemens F. Kaminski
- Department of Chemical Engineering and
Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
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4
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Gong D, Cai C, Strahilevitz E, Chen J, Scherer NF. Easily scalable multi-color DMD-based structured illumination microscopy. OPTICS LETTERS 2024; 49:77-80. [PMID: 38134158 DOI: 10.1364/ol.507599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 12/04/2023] [Indexed: 12/24/2023]
Abstract
Structured illumination microscopy (SIM) achieves super-resolution imaging using a series of phase-shifted sinusoidal illumination patterns to down-modulate high spatial-frequency information of samples. Digital micromirror devices (DMDs) have been increasingly used to generate SIM illumination patterns due to their high speed and moderate cost. However, a DMD micromirror array's blazed grating structure causes strong angular dispersion for different wavelengths of light, thus severely hampering its application in multicolor imaging. We developed a multi-color DMD-SIM setup that employs a diffraction grating to compensate the DMD's dispersion and demonstrate super-resolution SIM imaging of both fluorescent beads and live cells samples with four color channels. This simple but effective approach can be readily scaled to more color channels, thereby greatly expanding the application of SIM in the study of complex multi-component structures and dynamics in soft matter systems.
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5
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Paul TC, Johnson KA, Hagen GM. Super-resolution imaging of neuronal structure with structured illumination microscopy. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.26.542523. [PMID: 37292949 PMCID: PMC10245995 DOI: 10.1101/2023.05.26.542523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Super-resolution structured illumination microscopy (SR-SIM) is a method in optical fluorescence microscopy which is suitable for imaging a wide variety of cells and tissues in biological and biomedical research. Typically, SIM methods use high spatial frequency illumination patterns generated by laser interference. This approach provides high resolution but is limited to thin samples such as cultured cells. Using a different strategy for processing the raw data and coarser illumination patterns, we imaged through a 150 µm thick coronal section of a mouse brain expressing GFP in a subset of neurons. The resolution reached 144 nm, an improvement of 1.7 fold beyond conventional widefield imaging.
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Affiliation(s)
- Tristan C. Paul
- UCCS BioFrontiers Center, University of Colorado Colorado Springs, 1420 Austin Bluffs Parkway, Colorado Springs, Colorado, 80918
| | - Karl A. Johnson
- UCCS BioFrontiers Center, University of Colorado Colorado Springs, 1420 Austin Bluffs Parkway, Colorado Springs, Colorado, 80918
| | - Guy M. Hagen
- UCCS BioFrontiers Center, University of Colorado Colorado Springs, 1420 Austin Bluffs Parkway, Colorado Springs, Colorado, 80918
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6
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Bali K, McCoy R, Lu Z, Treiber J, Savva A, Kaminski CF, Salmond G, Salleo A, Mela I, Monson R, Owens RM. Multiparametric Sensing of Outer Membrane Vesicle-Derived Supported Lipid Bilayers Demonstrates the Specificity of Bacteriophage Interactions. ACS Biomater Sci Eng 2023. [PMID: 37137156 DOI: 10.1021/acsbiomaterials.3c00021] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
The use of bacteriophages, viruses that specifically infect bacteria, as antibiotics has become an area of great interest in recent years as the effectiveness of conventional antibiotics recedes. The detection of phage interactions with specific bacteria in a rapid and quantitative way is key for identifying phages of interest for novel antimicrobials. Outer membrane vesicles (OMVs) derived from Gram-negative bacteria can be used to make supported lipid bilayers (SLBs) and therefore in vitro membrane models that contain naturally occurring components of the bacterial outer membrane. In this study, we employed Escherichia coli OMV derived SLBs and use both fluorescent imaging and mechanical sensing techniques to show their interactions with T4 phage. We also integrate these bilayers with microelectrode arrays (MEAs) functionalized with the conducting polymer PEDOT:PSS and show that the pore forming interactions of the phages with the SLBs can be monitored using electrical impedance spectroscopy. To highlight our ability to detect specific phage interactions, we also generate SLBs using OMVs derived from Citrobacter rodentium, which is resistant to T4 phage infection, and identify their lack of interaction with the phage. The work presented here shows how interactions occurring between the phages and these complex SLB systems can be monitored using a range of experimental techniques. We believe this approach can be used to identify phages that work against bacterial strains of interest, as well as more generally to monitor any pore forming structure (such as defensins) interacting with bacterial outer membranes, and thus aid in the development of next generation antimicrobials.
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Affiliation(s)
- Karan Bali
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, United Kingdom
| | - Reece McCoy
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, United Kingdom
| | - Zixuan Lu
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, United Kingdom
| | - Jeremy Treiber
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94305, United States
| | - Achilleas Savva
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, United Kingdom
| | - Clemens F Kaminski
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, United Kingdom
| | - George Salmond
- Department of Biochemistry, University of Cambridge, Hopkins Building, Downing Site, Tennis Court Road, Cambridge CB2 1QW, United Kingdom
| | - Alberto Salleo
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94305, United States
| | - Ioanna Mela
- Department of Pharmacology, University of Cambridge, Tennis Court Road, Cambridge, CB2 1PD, United Kingdom
| | - Rita Monson
- Department of Biochemistry, University of Cambridge, Hopkins Building, Downing Site, Tennis Court Road, Cambridge CB2 1QW, United Kingdom
| | - Róisín M Owens
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, United Kingdom
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7
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Zhu G, Azharuddin M, Pramanik B, Roberg K, Biswas SK, D’arcy P, Lu M, Kaur A, Chen A, Dhara AK, Chivu A, Zhuang Y, Baker A, Liu X, Fairen-Jimenez D, Mazumder B, Chen R, Kaminski CF, Kaminski Schierle GS, Hinkula J, Slater NKH, Patra HK. Feasibility of Coacervate-Like Nanostructure for Instant Drug Nanoformulation. ACS APPLIED MATERIALS & INTERFACES 2023; 15:17485-17494. [PMID: 36976817 PMCID: PMC10103128 DOI: 10.1021/acsami.2c21586] [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: 11/30/2022] [Accepted: 03/20/2023] [Indexed: 06/18/2023]
Abstract
Despite the enormous advancements in nanomedicine research, a limited number of nanoformulations are available on the market, and few have been translated to clinics. An easily scalable, sustainable, and cost-effective manufacturing strategy and long-term stability for storage are crucial for successful translation. Here, we report a system and method to instantly formulate NF achieved with a nanoscale polyelectrolyte coacervate-like system, consisting of anionic pseudopeptide poly(l-lysine isophthalamide) derivatives, polyethylenimine, and doxorubicin (Dox) via simple "mix-and-go" addition of precursor solutions in seconds. The coacervate-like nanosystem shows enhanced intracellular delivery of Dox to patient-derived multidrug-resistant (MDR) cells in 3D tumor spheroids. The results demonstrate the feasibility of an instant drug formulation using a coacervate-like nanosystem. We envisage that this technique can be widely utilized in the nanomedicine field to bypass the special requirement of large-scale production and elongated shelf life of nanomaterials.
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Affiliation(s)
- Geyunjian
H. Zhu
- Department
of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United
Kingdom
| | - Mohammad Azharuddin
- Department
of Biomedical and Clinical Sciences (BKV), Linkoping University, Linköping 58183, Sweden
| | - Bapan Pramanik
- Department
of Chemistry, Ben Gurion University of the
Negev, Be’er
Sheva 84105, Israel
| | - Karin Roberg
- Department
of Biomedical and Clinical Sciences (BKV), Linkoping University, Linköping 58183, Sweden
- Department
of Otorhinolaryngology in Linköping, Anaesthetics, Operations
and Specialty Surgery Center, Linköping
University Hospital, Region Östergötland, Linköping 58185, Sweden
| | - Sujoy Kumar Biswas
- AIMP
Laboratories, C86 Baishnabghata,
Patuli Township, Kolkata 700094, India
| | - Padraig D’arcy
- Department
of Biomedical and Clinical Sciences (BKV), Linkoping University, Linköping 58183, Sweden
| | - Meng Lu
- Department
of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United
Kingdom
| | - Apanpreet Kaur
- Department
of Chemical Engineering, Imperial College
London, South Kensington
Campus, London SW7 2AZ, United Kingdom
| | - Alexander Chen
- Department
of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United
Kingdom
| | - Ashis Kumar Dhara
- Department
of Electrical Engineering, National Institute
of Technology Durgapur, Durgapur 713209, West Bengal, India
| | - Alexandru Chivu
- Department
of Surgical Biotechnology, Division of Surgery and Interventional
Science, University College London, London NW3 2PF, United Kingdom
| | - Yunhui Zhuang
- Department
of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United
Kingdom
| | - Andrew Baker
- Department
of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United
Kingdom
| | - Xiewen Liu
- Department
of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United
Kingdom
| | - David Fairen-Jimenez
- Department
of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United
Kingdom
| | - Bismoy Mazumder
- Department
of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United
Kingdom
| | - Rongjun Chen
- Department
of Chemical Engineering, Imperial College
London, South Kensington
Campus, London SW7 2AZ, United Kingdom
| | - Clemens F. Kaminski
- Department
of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United
Kingdom
| | | | - Jorma Hinkula
- Department
of Biomedical and Clinical Sciences (BKV), Linkoping University, Linköping 58183, Sweden
| | - Nigel K. H. Slater
- Department
of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United
Kingdom
| | - Hirak K. Patra
- Department
of Surgical Biotechnology, Division of Surgery and Interventional
Science, University College London, London NW3 2PF, United Kingdom
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8
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Ward EN, Hecker L, Christensen CN, Lamb JR, Lu M, Mascheroni L, Chung CW, Wang A, Rowlands CJ, Schierle GSK, Kaminski CF. Machine learning assisted interferometric structured illumination microscopy for dynamic biological imaging. Nat Commun 2022; 13:7836. [PMID: 36543776 PMCID: PMC9772218 DOI: 10.1038/s41467-022-35307-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 11/22/2022] [Indexed: 12/24/2022] Open
Abstract
Structured Illumination Microscopy, SIM, is one of the most powerful optical imaging methods available to visualize biological environments at subcellular resolution. Its limitations stem from a difficulty of imaging in multiple color channels at once, which reduces imaging speed. Furthermore, there is substantial experimental complexity in setting up SIM systems, preventing a widespread adoption. Here, we present Machine-learning Assisted, Interferometric Structured Illumination Microscopy, MAI-SIM, as an easy-to-implement method for live cell super-resolution imaging at high speed and in multiple colors. The instrument is based on an interferometer design in which illumination patterns are generated, rotated, and stepped in phase through movement of a single galvanometric mirror element. The design is robust, flexible, and works for all wavelengths. We complement the unique properties of the microscope with an open source machine-learning toolbox that permits real-time reconstructions to be performed, providing instant visualization of super-resolved images from live biological samples.
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Affiliation(s)
- Edward N. Ward
- grid.5335.00000000121885934Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Lisa Hecker
- grid.5335.00000000121885934Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Charles N. Christensen
- grid.5335.00000000121885934Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Jacob R. Lamb
- grid.5335.00000000121885934Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Meng Lu
- grid.5335.00000000121885934Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Luca Mascheroni
- grid.5335.00000000121885934Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Chyi Wei Chung
- grid.5335.00000000121885934Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Anna Wang
- grid.4991.50000 0004 1936 8948Department of Physics, Oxford University, Oxford, UK
| | - Christopher J. Rowlands
- grid.7445.20000 0001 2113 8111Department of Bioengineering, Imperial College London, London, UK
| | - Gabriele S. Kaminski Schierle
- grid.5335.00000000121885934Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Clemens F. Kaminski
- grid.5335.00000000121885934Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
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9
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Abstract
Super-resolution imaging techniques that overcome the diffraction limit of light have gained wide popularity for visualizing cellular structures with nanometric resolution. Following the pace of hardware developments, the availability of new fluorescent probes with superior properties is becoming ever more important. In this context, fluorescent nanoparticles (NPs) have attracted increasing attention as bright and photostable probes that address many shortcomings of traditional fluorescent probes. The use of NPs for super-resolution imaging is a recent development and this provides the focus for the current review. We give an overview of different super-resolution methods and discuss their demands on the properties of fluorescent NPs. We then review in detail the features, strengths, and weaknesses of each NP class to support these applications and provide examples from their utilization in various biological systems. Moreover, we provide an outlook on the future of the field and opportunities in material science for the development of probes for multiplexed subcellular imaging with nanometric resolution.
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Affiliation(s)
- Wei Li
- Key
Laboratory for Biobased Materials and Energy of Ministry of Education,
College of Materials and Energy, South China
Agricultural University, Guangzhou 510642, People’s Republic
of China
- Department
of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United Kingdom
| | | | - Bingfu Lei
- Key
Laboratory for Biobased Materials and Energy of Ministry of Education,
College of Materials and Energy, South China
Agricultural University, Guangzhou 510642, People’s Republic
of China
| | - Yingliang Liu
- Key
Laboratory for Biobased Materials and Energy of Ministry of Education,
College of Materials and Energy, South China
Agricultural University, Guangzhou 510642, People’s Republic
of China
| | - Clemens F. Kaminski
- Department
of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United Kingdom
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10
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Bali K, Mohamed Z, Scheeder A, Pappa AM, Daniel S, Kaminski CF, Owens RM, Mela I. Nanoscale Features of Tunable Bacterial Outer Membrane Models Revealed by Correlative Microscopy. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2022; 38:8773-8782. [PMID: 35748045 PMCID: PMC9330759 DOI: 10.1021/acs.langmuir.2c00628] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
The rise of antibiotic resistance is a growing worldwide human health issue, with major socioeconomic implications. An understanding of the interactions occurring at the bacterial membrane is crucial for the generation of new antibiotics. Supported lipid bilayers (SLBs) made from reconstituted lipid vesicles have been used to mimic these membranes, but their utility has been restricted by the simplistic nature of these systems. A breakthrough in the field has come with the use of outer membrane vesicles derived from Gram-negative bacteria to form SLBs, thus providing a more physiologically relevant system. These complex bilayer systems hold promise but have not yet been fully characterized in terms of their composition, ratio of natural to synthetic components, and membrane protein content. Here, we use correlative atomic force microscopy (AFM) with structured illumination microscopy (SIM) for the accurate mapping of complex lipid bilayers that consist of a synthetic fraction and a fraction of lipids derived from Escherichia coli outer membrane vesicles (OMVs). We exploit the high resolution and molecular specificity that SIM can offer to identify areas of interest in these bilayers and the enhanced resolution that AFM provides to create detailed topography maps of the bilayers. We are thus able to understand the way in which the two different lipid fractions (natural and synthetic) mix within the bilayers, and we can quantify the amount of bacterial membrane incorporated into the bilayer. We prove the system's tunability by generating bilayers made using OMVs engineered to contain a green fluorescent protein (GFP) binding nanobody fused with the porin OmpA. We are able to directly visualize protein-protein interactions between GFP and the nanobody complex. Our work sets the foundation for accurately understanding the composition and properties of OMV-derived SLBs to generate a high-resolution platform for investigating bacterial membrane interactions for the development of next-generation antibiotics.
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Affiliation(s)
- Karan Bali
- Department
of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, U.K.
| | - Zeinab Mohamed
- School
of Biomedical Engineering, Cornell University, Ithaca, New York 14853, United States
| | - Anna Scheeder
- Department
of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, U.K.
| | - Anna-Maria Pappa
- Department
of Biomedical Engineering, Khalifa University
of Science and Technology, Abu
Dhabi 127788, United Arab
Emirates
| | - Susan Daniel
- School
of Biomedical Engineering, Cornell University, Ithaca, New York 14853, United States
- School
of Chemical and Biomolecular Engineering, Cornell University, Ithaca, New York 14853, United States
| | - Clemens F. Kaminski
- Department
of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, U.K.
| | - Róisín M. Owens
- Department
of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, U.K.
| | - Ioanna Mela
- Department
of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, U.K.
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11
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Flexible Multiplane Structured Illumination Microscope with a Four-Camera Detector. PHOTONICS 2022; 9. [PMID: 35966275 PMCID: PMC9373035 DOI: 10.3390/photonics9070501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
Fluorescence microscopy provides an unparalleled tool for imaging biological samples. However, producing high-quality volumetric images quickly and without excessive complexity remains a challenge. Here, we demonstrate a four-camera structured illumination microscope (SIM) capable of simultaneously imaging multiple focal planes, allowing for the capture of 3D fluorescent images without any axial movement of the sample. This setup allows for the acquisition of many different 3D imaging modes, including 3D time lapses, high-axial-resolution 3D images, and large 3D mosaics. We imaged mitochondrial motions in live cells, neuronal structure in Drosophila larvae, and imaged up to 130 µm deep into mouse brain tissue. After SIM processing, the resolution measured using one of the four cameras improved from 357 nm to 253 nm when using a 30×/1.05 NA objective.
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12
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Unksov IN, Korosec CS, Surendiran P, Verardo D, Lyttleton R, Forde NR, Linke H. Through the Eyes of Creators: Observing Artificial Molecular Motors. ACS NANOSCIENCE AU 2022; 2:140-159. [PMID: 35726277 PMCID: PMC9204826 DOI: 10.1021/acsnanoscienceau.1c00041] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 12/20/2021] [Accepted: 12/20/2021] [Indexed: 11/28/2022]
Abstract
![]()
Inspired by molecular
motors in biology, there has been significant
progress in building artificial molecular motors, using a number of
quite distinct approaches. As the constructs become more sophisticated,
there is also an increasing need to directly observe the motion of
artificial motors at the nanoscale and to characterize their performance.
Here, we review the most used methods that tackle those tasks. We
aim to help experimentalists with an overview of the available tools
used for different types of synthetic motors and to choose the method
most suited for the size of a motor and the desired measurements,
such as the generated force or distances in the moving system. Furthermore,
for many envisioned applications of synthetic motors, it will be a
requirement to guide and control directed motions. We therefore also
provide a perspective on how motors can be observed on structures
that allow for directional guidance, such as nanowires and microchannels.
Thus, this Review facilitates the future research on synthetic molecular
motors, where observations at a single-motor level and a detailed
characterization of motion will promote applications.
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Affiliation(s)
- Ivan N. Unksov
- Solid State Physics and NanoLund, Lund University, Box 118, SE-221 00 Lund, Sweden
| | - Chapin S. Korosec
- Department of Physics, Simon Fraser University, V5A 1S6 Burnaby, British Columbia, Canada
| | | | - Damiano Verardo
- Solid State Physics and NanoLund, Lund University, Box 118, SE-221 00 Lund, Sweden
- AlignedBio AB, Medicon Village, Scheeletorget 1, 223 63 Lund, Sweden
| | - Roman Lyttleton
- Solid State Physics and NanoLund, Lund University, Box 118, SE-221 00 Lund, Sweden
| | - Nancy R. Forde
- Department of Physics, Simon Fraser University, V5A 1S6 Burnaby, British Columbia, Canada
| | - Heiner Linke
- Solid State Physics and NanoLund, Lund University, Box 118, SE-221 00 Lund, Sweden
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13
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Zeng H, Liu G, Zhao R. SIM reconstruction framework for high-speed multi-dimensional super-resolution imaging. OPTICS EXPRESS 2022; 30:10877-10898. [PMID: 35473044 DOI: 10.1364/oe.450136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 02/18/2022] [Indexed: 06/14/2023]
Abstract
Structured illumination microscopy (SIM) holds great promise for live cell imaging applications due to its potential to obtain multidimensional information such as intensity, spectrum and polarization (I, λ , p) at high spatial-temporal resolution, enabling the observation of more complex dynamic interactions between subcellular structures. However, the reconstruction results of polarized samples are prone to artifacts because all current SIM reconstruction frameworks use incomplete imaging models which neglect polarization modulation. Such polarization-related artifacts are especially prevalent for SIM reconstruction using a reduced number of raw images (RSIM) and severely undermine the ability of SIM to capture multi-dimensional information. Here, we report a new SIM reconstruction framework (PRSIM) that can recover multi-dimensional information (I, λ, p) using a reduced number of raw images. PRSIM adopts a complete imaging model that is versatile for normal and polarized samples and uses a frequency-domain iterative reconstruction algorithm for artifact-free super-resolution (SR) reconstruction. It can simultaneously obtain the SR spatial structure and polarization orientation of polarized samples using 6 raw SIM images and can perform SR reconstruction using 4 SIM images for normal samples. In addition, PRSIM has less spatial computational complexity and achieves reconstruction speeds tens of times higher than that of the state-of-the-art non-iterative RSIM, making it more suitable for large field-of-view imaging. Thus, PRSIM is expected to facilitate the development of SIM into an ultra-high-speed and multi-dimensional SR imaging tool.
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14
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Recent Progress in the Correlative Structured Illumination Microscopy. CHEMOSENSORS 2021. [DOI: 10.3390/chemosensors9120364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The super-resolution imaging technique of structured illumination microscopy (SIM) enables the mixing of high-frequency information into the optical transmission domain via light-source modulation, thus breaking the optical diffraction limit. Correlative SIM, which combines other techniques with SIM, offers more versatility or higher imaging resolution than traditional SIM. In this review, we first briefly introduce the imaging mechanism and development trends of conventional SIM. Then, the principles and recent developments of correlative SIM techniques are reviewed. Finally, the future development directions of SIM and its correlative microscopies are presented.
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15
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Super-Resolution Imaging of the Actin Cytoskeleton in Living Cells Using TIRF-SIM. Methods Mol Biol 2021. [PMID: 34542846 DOI: 10.1007/978-1-0716-1661-1_1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/06/2023]
Abstract
Super-resolution (SR) imaging techniques have advanced rapidly in recent years, but only a subset of these techniques is gentle enough to be used by cell biologists to study living cells with minimal photodamage. Our research is focused on studies of the dynamic remodeling of the actin cytoskeleton in living pancreatic beta cells during insulin secretion. These studies require super-resolution light microscopic techniques that are gentle enough to record rapid changes of the actin cytoskeleton in real time. In this chapter, we describe an SR technique that breaks the diffraction limit of the conventional light microscope called TIRF-SIM. Using this SR techniques, we have been able to show that (1) microvilli on pancreatic beta cells translocate in the plane of the plasma membrane and (2) the cortical actin network reorganizes when cells are stimulated to secrete insulin. We describe the FIJI plugins that were used to process and analyze the TIRF-SIM images to obtain quantitative data.
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16
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Opstad IS, Hansen DH, Acuña S, Ströhl F, Priyadarshi A, Tinguely JC, Dullo FT, Dalmo RA, Seternes T, Ahluwalia BS, Agarwal K. Fluorescence fluctuation-based super-resolution microscopy using multimodal waveguided illumination. OPTICS EXPRESS 2021; 29:23368-23380. [PMID: 34614603 DOI: 10.1364/oe.423809] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Accepted: 06/14/2021] [Indexed: 06/13/2023]
Abstract
Photonic chip-based total internal reflection fluorescence microscopy (c-TIRFM) is an emerging technology enabling a large TIRF excitation area decoupled from the detection objective. Additionally, due to the inherent multimodal nature of wide waveguides, it is a convenient platform for introducing temporal fluctuations in the illumination pattern. The fluorescence fluctuation-based nanoscopy technique multiple signal classification algorithm (MUSICAL) does not assume stochastic independence of the emitter emission and can therefore exploit fluctuations arising from other sources, as such multimodal illumination patterns. In this work, we demonstrate and verify the utilization of fluctuations in the illumination for super-resolution imaging using MUSICAL on actin in salmon keratocytes. The resolution improvement was measured to be 2.2-3.6-fold compared to the corresponding conventional images.
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17
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Middya S, Curto VF, Fernández‐Villegas A, Robbins M, Gurke J, Moonen EJM, Kaminski Schierle GS, Malliaras GG. Microelectrode Arrays for Simultaneous Electrophysiology and Advanced Optical Microscopy. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2021; 8:2004434. [PMID: 36246164 PMCID: PMC9539726 DOI: 10.1002/advs.202004434] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 03/01/2021] [Indexed: 05/09/2023]
Abstract
Advanced optical imaging techniques address important biological questions in neuroscience, where structures such as synapses are below the resolution limit of a conventional microscope. At the same time, microelectrode arrays (MEAs) are indispensable in understanding the language of neurons. Here, the authors show transparent MEAs capable of recording action potentials from neurons and compatible with advanced microscopy. The electrodes are made of the conducting polymer poly(3,4-ethylenedioxythiophene) doped with polystyrene sulfonate (PEDOT:PSS) and are patterned by optical lithography, ensuring scalable fabrication with good control over device parameters. A thickness of 380 nm ensures low enough impedance and >75% transparency throughout the visible part of the spectrum making them suitable for artefact-free recording in the presence of laser illumination. Using primary neuronal cells, the arrays record single units from multiple nearby sources with a signal-to-noise ratio of 7.7 (17.7 dB). Additionally, it is possible to perform calcium (Ca2+) imaging, a measure of neuronal activity, using the novel transparent electrodes. Different biomarkers are imaged through the electrodes using conventional and super-resolution microscopy (SRM), showing no qualitative differences compared to glass substrates. These transparent MEAs pave the way for harnessing the synergy between the superior temporal resolution of electrophysiology and the selectivity and high spatial resolution of optical imaging.
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Affiliation(s)
- Sagnik Middya
- Department of Chemical Engineering and BiotechnologyUniversity of CambridgeCambridgeCB3 0ASUK
- Electrical Engineering DivisionDepartment of EngineeringUniversity of CambridgeCambridgeCB3 0FFUK
| | - Vincenzo F. Curto
- Electrical Engineering DivisionDepartment of EngineeringUniversity of CambridgeCambridgeCB3 0FFUK
| | - Ana Fernández‐Villegas
- Department of Chemical Engineering and BiotechnologyUniversity of CambridgeCambridgeCB3 0ASUK
| | - Miranda Robbins
- Department of Chemical Engineering and BiotechnologyUniversity of CambridgeCambridgeCB3 0ASUK
| | - Johannes Gurke
- Electrical Engineering DivisionDepartment of EngineeringUniversity of CambridgeCambridgeCB3 0FFUK
| | - Emma J. M. Moonen
- Electrical Engineering DivisionDepartment of EngineeringUniversity of CambridgeCambridgeCB3 0FFUK
- Department of Mechanical EngineeringMicrosystemsEindhoven University of TechnologyEindhoven5600 MBthe Netherlands
| | | | - George G. Malliaras
- Electrical Engineering DivisionDepartment of EngineeringUniversity of CambridgeCambridgeCB3 0FFUK
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18
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Van den Eynde R, Vandenberg W, Hugelier S, Bouwens A, Hofkens J, Müller M, Dedecker P. Self-contained and modular structured illumination microscope. BIOMEDICAL OPTICS EXPRESS 2021; 12:4414-4422. [PMID: 34457422 PMCID: PMC8367227 DOI: 10.1364/boe.423492] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 05/11/2021] [Accepted: 05/12/2021] [Indexed: 06/13/2023]
Abstract
We present a modular implementation of structured illumination microscopy (SIM) that is fast, largely self-contained and that can be added onto existing fluorescence microscopes. Our strategy, which we call HIT-SIM, can theoretically deliver well over 50 super-resolved images per second and is readily compatible with existing acquisition software packages. We provide a full technical package consisting of schematics, a list of components and an alignment scheme that provides detailed specifications and assembly instructions. We illustrate the performance of the instrument by imaging optically large samples containing sequence-specifically stained DNA fragments.
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Affiliation(s)
| | - Wim Vandenberg
- Lab for Nanobiology, Department of Chemistry, KU Leuven, Belgium
| | - Siewert Hugelier
- Lab for Nanobiology, Department of Chemistry, KU Leuven, Belgium
| | - Arno Bouwens
- Molecular Imaging and Photonics, Department of Chemistry, KU Leuven, Belgium
- Perseus Biomics BV, Tienen, Belgium
| | - Johan Hofkens
- Molecular Imaging and Photonics, Department of Chemistry, KU Leuven, Belgium
- Max Planck Institute for Polymer Research, Mainz, Germany
| | - Marcel Müller
- Lab for Nanobiology, Department of Chemistry, KU Leuven, Belgium
- Present adress: Faculty of Physics, Bielefeld University, Germany
| | - Peter Dedecker
- Lab for Nanobiology, Department of Chemistry, KU Leuven, Belgium
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19
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Boland MA, Cohen EAK, Flaxman SR, Neil MAA. Improving axial resolution in Structured Illumination Microscopy using deep learning. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2021; 379:20200298. [PMID: 33896203 PMCID: PMC8072200 DOI: 10.1098/rsta.2020.0298] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/12/2021] [Indexed: 05/05/2023]
Abstract
Structured Illumination Microscopy (SIM) is a widespread methodology to image live and fixed biological structures smaller than the diffraction limits of conventional optical microscopy. Using recent advances in image up-scaling through deep learning models, we demonstrate a method to reconstruct 3D SIM image stacks with twice the axial resolution attainable through conventional SIM reconstructions. We further demonstrate our method is robust to noise and evaluate it against two-point cases and axial gratings. Finally, we discuss potential adaptions of the method to further improve resolution. This article is part of the Theo Murphy meeting issue 'Super-resolution structured illumination microscopy (part 1)'.
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Affiliation(s)
- Miguel A. Boland
- Department of Mathematics, Imperial College, South Kensington Campus, 180 Queen’s Gate, London SW7 2RH, UK
| | - Edward A. K. Cohen
- Department of Mathematics, Imperial College, South Kensington Campus, 180 Queen’s Gate, London SW7 2RH, UK
| | - Seth R. Flaxman
- Department of Mathematics, Imperial College, South Kensington Campus, 180 Queen’s Gate, London SW7 2RH, UK
| | - Mark A. A. Neil
- Department of Mathematics, Imperial College, South Kensington Campus, 180 Queen’s Gate, London SW7 2RH, UK
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20
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Brown PT, Kruithoff R, Seedorf GJ, Shepherd DP. Multicolor structured illumination microscopy and quantitative control of polychromatic light with a digital micromirror device. BIOMEDICAL OPTICS EXPRESS 2021; 12:3700-3716. [PMID: 34221689 PMCID: PMC8221958 DOI: 10.1364/boe.422703] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 05/14/2021] [Accepted: 05/17/2021] [Indexed: 05/10/2023]
Abstract
Linear structured illumination microscopy (SIM) is a super-resolution microscopy technique that does not impose photophysics requirements on fluorescent samples. Multicolor SIM implementations typically rely on liquid crystal on silicon (LCoS) spatial light modulators (SLM's) for patterning the excitation light, but digital micromirror devices (DMD's) are a promising alternative, owing to their lower cost and higher speed. However, existing coherent DMD SIM implementations use only a single wavelength of light, limited by the lack of efficient approaches for solving the blazed grating effect for polychromatic light. We develop the requisite quantitative tools, including a closed form solution of the blaze and diffraction conditions, forward models of DMD diffraction and pattern projection, and a model of DMD aberrations. Based on these advances, we constructed a three-color DMD microscope, quantified the effect of aberrations from the DMD, developed a high-resolution optical transfer function measurement technique, and demonstrated SIM on fixed and live cells. This opens the door to applying DMD's in polychromatic applications previously restricted to LCoS SLM's.
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Affiliation(s)
- Peter T. Brown
- Department of Physics and Center for Biological Physics, Arizona State University, Tempe, AZ 85287, USA
| | - Rory Kruithoff
- Department of Physics and Center for Biological Physics, Arizona State University, Tempe, AZ 85287, USA
| | - Gregory J. Seedorf
- Department of Pediatrics and Pediatric Heart Lung Center, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Douglas P. Shepherd
- Department of Physics and Center for Biological Physics, Arizona State University, Tempe, AZ 85287, USA
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21
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Brown PT, Kruithoff R, Seedorf GJ, Shepherd DP. Multicolor structured illumination microscopy and quantitative control of polychromatic light with a digital micromirror device. BIOMEDICAL OPTICS EXPRESS 2021. [PMID: 34221689 DOI: 10.1101/2020.07.27.223941] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Linear structured illumination microscopy (SIM) is a super-resolution microscopy technique that does not impose photophysics requirements on fluorescent samples. Multicolor SIM implementations typically rely on liquid crystal on silicon (LCoS) spatial light modulators (SLM's) for patterning the excitation light, but digital micromirror devices (DMD's) are a promising alternative, owing to their lower cost and higher speed. However, existing coherent DMD SIM implementations use only a single wavelength of light, limited by the lack of efficient approaches for solving the blazed grating effect for polychromatic light. We develop the requisite quantitative tools, including a closed form solution of the blaze and diffraction conditions, forward models of DMD diffraction and pattern projection, and a model of DMD aberrations. Based on these advances, we constructed a three-color DMD microscope, quantified the effect of aberrations from the DMD, developed a high-resolution optical transfer function measurement technique, and demonstrated SIM on fixed and live cells. This opens the door to applying DMD's in polychromatic applications previously restricted to LCoS SLM's.
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Affiliation(s)
- Peter T Brown
- Department of Physics and Center for Biological Physics, Arizona State University, Tempe, AZ 85287, USA
| | - Rory Kruithoff
- Department of Physics and Center for Biological Physics, Arizona State University, Tempe, AZ 85287, USA
| | - Gregory J Seedorf
- Department of Pediatrics and Pediatric Heart Lung Center, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Douglas P Shepherd
- Department of Physics and Center for Biological Physics, Arizona State University, Tempe, AZ 85287, USA
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22
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Zhao T, Hao H, Wang Z, Liang Y, Feng K, He M, Yun X, Bianco PR, Sun Y, Yao B, Lei M. Multi-color structured illumination microscopy for live cell imaging based on the enhanced image recombination transform algorithm. BIOMEDICAL OPTICS EXPRESS 2021; 12:3474-3484. [PMID: 34221673 PMCID: PMC8221967 DOI: 10.1364/boe.423171] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 04/09/2021] [Accepted: 05/10/2021] [Indexed: 05/02/2023]
Abstract
Structured illumination microscopy (SIM) has attracted considerable interest in super-resolution, live-cell imaging because of its low light dose and high imaging speed. Obtaining a high-quality reconstruction image in SIM depends on the precise determination of the parameters of the fringe illumination pattern. The image recombination transform (IRT) algorithm is superior to other algorithms in obtaining the precise initial phase without any approximation, which is promising to provide a considerable solution to address the difficulty of initial phase estimation at low-modulation-depth conditions. However, the IRT algorithm only considers a phase shift of π∕2, which limits its applications in general scenarios. In this letter, we present a general form of IRT algorithm suitable for arbitrary phase shifts, providing a powerful tool for parameter estimation in low signal-to-noise cases. To demonstrate the effectiveness of the enhanced IRT algorithm, we constructed a multicolor, structured illumination microscope and studied at super-resolution, the cargo traffic in HRPE cells, and monitored the movement of mitochondrial structures and microtubules in COS-7 cells. The custom SIM system using the enhanced IRT algorithm allows multicolor capability and a low excitation intensity fluorescence imaging less than 1 W/cm2. High-quality super-resolution images are obtained, which demonstrates the utility of this approach in imaging in the life sciences.
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Affiliation(s)
- Tianyu Zhao
- MOE Key Laboratory for Non-equilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi’an Jiaotong University, Xi’an 710049, China
- State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, Shaanxi 710119, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Authors contributed equally to this work
| | - Huiwen Hao
- State Key Laboratory of Membrane Biology & Biomedical Pioneer Innovation Center (BIOPIC) & School of Life Sciences, Peking University, Beijing 100871, China
- Authors contributed equally to this work
| | - Zhaojun Wang
- MOE Key Laboratory for Non-equilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi’an Jiaotong University, Xi’an 710049, China
| | - Yansheng Liang
- MOE Key Laboratory for Non-equilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi’an Jiaotong University, Xi’an 710049, China
| | - Kun Feng
- MOE Key Laboratory for Non-equilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi’an Jiaotong University, Xi’an 710049, China
| | - Minru He
- State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, Shaanxi 710119, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xue Yun
- MOE Key Laboratory for Non-equilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi’an Jiaotong University, Xi’an 710049, China
| | - Piero R. Bianco
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Nebraska Medical Center, Omaha, NE 68198-6025, USA
| | - Yujie Sun
- State Key Laboratory of Membrane Biology & Biomedical Pioneer Innovation Center (BIOPIC) & School of Life Sciences, Peking University, Beijing 100871, China
| | - Baoli Yao
- State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, Shaanxi 710119, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ming Lei
- MOE Key Laboratory for Non-equilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi’an Jiaotong University, Xi’an 710049, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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23
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Abstract
For probing small distances in living cells, methods of super-resolution microscopy and molecular sensing are reported. A main requirement is low light exposure to maintain cell viability and to avoid photobleaching of relevant fluorophores. From this point of view, Structured Illumination Microscopy (SIM), Axial Tomography, Total Internal Reflection Fluorescence Microscopy (TIRFM) and often a combination of these methods are used. To show the high potential of these techniques, measurements on cell-substrate topology as well as on intracellular translocation of the glucose transporter GLUT4 are described. In addition, molecular parameters can be deduced from spectral data, fluorescence lifetimes or non-radiative energy transfer (FRET) between a donor and an acceptor molecule. As an example, FRET between the epidermal growth factor receptor (EGFR) and the growth factor receptor-bound protein 2 (Grb2) is described. Since this interaction, as well as further processes of cellular signaling (e.g., translocation of GLUT4) are sensitive to stimulation by pharmaceutical agents, methods (e.g., TIRFM) are transferred from a fluorescence microscope to a multi-well reader system for simultaneous detection of large cell populations.
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24
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Christensen CN, Ward EN, Lu M, Lio P, Kaminski CF. ML-SIM: universal reconstruction of structured illumination microscopy images using transfer learning. BIOMEDICAL OPTICS EXPRESS 2021; 12:2720-2733. [PMID: 34123499 PMCID: PMC8176814 DOI: 10.1364/boe.414680] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 01/29/2021] [Accepted: 01/30/2021] [Indexed: 05/20/2023]
Abstract
Structured illumination microscopy (SIM) has become an important technique for optical super-resolution imaging because it allows a doubling of image resolution at speeds compatible with live-cell imaging. However, the reconstruction of SIM images is often slow, prone to artefacts, and requires multiple parameter adjustments to reflect different hardware or experimental conditions. Here, we introduce a versatile reconstruction method, ML-SIM, which makes use of transfer learning to obtain a parameter-free model that generalises beyond the task of reconstructing data recorded by a specific imaging system for a specific sample type. We demonstrate the generality of the model and the high quality of the obtained reconstructions by application of ML-SIM on raw data obtained for multiple sample types acquired on distinct SIM microscopes. ML-SIM is an end-to-end deep residual neural network that is trained on an auxiliary domain consisting of simulated images, but is transferable to the target task of reconstructing experimental SIM images. By generating the training data to reflect challenging imaging conditions encountered in real systems, ML-SIM becomes robust to noise and irregularities in the illumination patterns of the raw SIM input frames. Since ML-SIM does not require the acquisition of experimental training data, the method can be efficiently adapted to any specific experimental SIM implementation. We compare the reconstruction quality enabled by ML-SIM with current state-of-the-art SIM reconstruction methods and demonstrate advantages in terms of generality and robustness to noise for both simulated and experimental inputs, thus making ML-SIM a useful alternative to traditional methods for challenging imaging conditions. Additionally, reconstruction of a SIM stack is accomplished in less than 200 ms on a modern graphics processing unit, enabling future applications for real-time imaging. Source code and ready-to-use software for the method are available at http://ML-SIM.github.io.
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Affiliation(s)
- Charles N. Christensen
- University of Cambridge, Department of Chemical Engineering and Biotechnology, Laser Analytics Group, Philippa Fawcett Dr, Cambridge, UK
- University of Cambridge, Department of Computer Science and Technology, Artificial Intelligence Group, JJ Thomson Ave, Cambridge, UK
| | - Edward N. Ward
- University of Cambridge, Department of Chemical Engineering and Biotechnology, Laser Analytics Group, Philippa Fawcett Dr, Cambridge, UK
| | - Meng Lu
- University of Cambridge, Department of Chemical Engineering and Biotechnology, Laser Analytics Group, Philippa Fawcett Dr, Cambridge, UK
| | - Pietro Lio
- University of Cambridge, Department of Computer Science and Technology, Artificial Intelligence Group, JJ Thomson Ave, Cambridge, UK
| | - Clemens F. Kaminski
- University of Cambridge, Department of Chemical Engineering and Biotechnology, Laser Analytics Group, Philippa Fawcett Dr, Cambridge, UK
- Corresponding author:
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25
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Lu M, Mishra A, Boschetti C, Lin J, Liu Y, Huang H, Kaminski CF, Huang Z, Tunnacliffe A, Kaminski Schierle GS. Sea Cucumber-Derived Peptides Alleviate Oxidative Stress in Neuroblastoma Cells and Improve Survival in C. elegans Exposed to Neurotoxic Paraquat. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2021; 2021:8842926. [PMID: 33959216 PMCID: PMC8075690 DOI: 10.1155/2021/8842926] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 03/16/2021] [Accepted: 03/30/2021] [Indexed: 01/22/2023]
Abstract
Oxidative stress results when the production of oxidants outweighs the capacity of the antioxidant defence mechanisms. This can lead to pathological conditions including cancer and neurodegeneration. Consequently, there is considerable interest in compounds with antioxidant activity, including those from natural sources. Here, we characterise the antioxidant activity of three novel peptides identified in protein hydrolysates from the sea cucumber Apostichopus japonicus. Under oxidative stress conditions, synthetic versions of the sea cucumber peptides significantly compensate for glutathione depletion, decrease mitochondrial superoxide levels, and alleviate mitophagy in human neuroblastoma cells. Moreover, orally supplied peptides improve survival of the Caenorhabditis elegans after treatment with paraquat, the latter of which leads to the production of excessive oxidative stress. Thus, the sea cucumber peptides exhibit antioxidant activity at both the cellular and organism levels and might prove attractive as nutritional supplements for healthy ageing.
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Affiliation(s)
- Meng Lu
- Cambridge Infinitus Research Centre, Department of Chemical Engineering and Biotechnology, University of Cambridge, West Cambridge Site, Philippa Fawcett Drive, Cambridge CB3 0AS, UK
| | - Ajay Mishra
- Cambridge Infinitus Research Centre, Department of Chemical Engineering and Biotechnology, University of Cambridge, West Cambridge Site, Philippa Fawcett Drive, Cambridge CB3 0AS, UK
| | - Chiara Boschetti
- Cambridge Infinitus Research Centre, Department of Chemical Engineering and Biotechnology, University of Cambridge, West Cambridge Site, Philippa Fawcett Drive, Cambridge CB3 0AS, UK
| | - Jing Lin
- Research Institute for Food Nutrition and Human Health, School of Food Science and Engineering, South China University of Technology, Guangzhou 510640, China
- School of Biosciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - Yushuang Liu
- School of Biosciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - Hongliang Huang
- School of Biosciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - Clemens F. Kaminski
- Cambridge Infinitus Research Centre, Department of Chemical Engineering and Biotechnology, University of Cambridge, West Cambridge Site, Philippa Fawcett Drive, Cambridge CB3 0AS, UK
| | - Zebo Huang
- Research Institute for Food Nutrition and Human Health, School of Food Science and Engineering, South China University of Technology, Guangzhou 510640, China
| | - Alan Tunnacliffe
- Cambridge Infinitus Research Centre, Department of Chemical Engineering and Biotechnology, University of Cambridge, West Cambridge Site, Philippa Fawcett Drive, Cambridge CB3 0AS, UK
| | - Gabriele S. Kaminski Schierle
- Cambridge Infinitus Research Centre, Department of Chemical Engineering and Biotechnology, University of Cambridge, West Cambridge Site, Philippa Fawcett Drive, Cambridge CB3 0AS, UK
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26
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Wen G, Li S, Wang L, Chen X, Sun Z, Liang Y, Jin X, Xing Y, Jiu Y, Tang Y, Li H. High-fidelity structured illumination microscopy by point-spread-function engineering. LIGHT, SCIENCE & APPLICATIONS 2021; 10:70. [PMID: 33795640 PMCID: PMC8016956 DOI: 10.1038/s41377-021-00513-w] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 03/13/2021] [Accepted: 03/14/2021] [Indexed: 05/28/2023]
Abstract
Structured illumination microscopy (SIM) has become a widely used tool for insight into biomedical challenges due to its rapid, long-term, and super-resolution (SR) imaging. However, artifacts that often appear in SIM images have long brought into question its fidelity, and might cause misinterpretation of biological structures. We present HiFi-SIM, a high-fidelity SIM reconstruction algorithm, by engineering the effective point spread function (PSF) into an ideal form. HiFi-SIM can effectively reduce commonly seen artifacts without loss of fine structures and improve the axial sectioning for samples with strong background. In particular, HiFi-SIM is not sensitive to the commonly used PSF and reconstruction parameters; hence, it lowers the requirements for dedicated PSF calibration and complicated parameter adjustment, thus promoting SIM as a daily imaging tool.
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Affiliation(s)
- Gang Wen
- Jiangsu Key Laboratory of Medical Optics, CAS Center for Excellence in Molecular Cell Science, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, 215163, China
- Academy for Engineering and Technology, Fudan University, Shanghai, 200433, China
| | - Simin Li
- Jiangsu Key Laboratory of Medical Optics, CAS Center for Excellence in Molecular Cell Science, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, 215163, China
| | - Linbo Wang
- Jiangsu Key Laboratory of Medical Optics, CAS Center for Excellence in Molecular Cell Science, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, 215163, China
| | - Xiaohu Chen
- Jiangsu Key Laboratory of Medical Optics, CAS Center for Excellence in Molecular Cell Science, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, 215163, China
| | - Zhenglong Sun
- Jiangsu Key Laboratory of Medical Optics, CAS Center for Excellence in Molecular Cell Science, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, 215163, China
| | - Yong Liang
- Jiangsu Key Laboratory of Medical Optics, CAS Center for Excellence in Molecular Cell Science, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, 215163, China
| | - Xin Jin
- Jiangsu Key Laboratory of Medical Optics, CAS Center for Excellence in Molecular Cell Science, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, 215163, China
| | - Yifan Xing
- The Center for Microbes, Development and Health, Key Laboratory of Molecular Virology and Immunology, Institute Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yaming Jiu
- The Center for Microbes, Development and Health, Key Laboratory of Molecular Virology and Immunology, Institute Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yuguo Tang
- Jiangsu Key Laboratory of Medical Optics, CAS Center for Excellence in Molecular Cell Science, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, 215163, China.
| | - Hui Li
- Jiangsu Key Laboratory of Medical Optics, CAS Center for Excellence in Molecular Cell Science, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, 215163, China.
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27
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Arista-Romero M, Pujals S, Albertazzi L. Towards a Quantitative Single Particle Characterization by Super Resolution Microscopy: From Virus Structures to Antivirals Design. Front Bioeng Biotechnol 2021; 9:647874. [PMID: 33842446 PMCID: PMC8033170 DOI: 10.3389/fbioe.2021.647874] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Accepted: 03/08/2021] [Indexed: 12/15/2022] Open
Abstract
In the last year the COVID19 pandemic clearly illustrated the potential threat that viruses pose to our society. The characterization of viral structures and the identification of key proteins involved in each step of the cycle of infection are crucial to develop treatments. However, the small size of viruses, invisible under conventional fluorescence microscopy, make it difficult to study the organization of protein clusters within the viral particle. The applications of super-resolution microscopy have skyrocketed in the last years, converting this group into one of the leading techniques to characterize viruses and study the viral infection in cells, breaking the diffraction limit by achieving resolutions up to 10 nm using conventional probes such as fluorescent dyes and proteins. There are several super-resolution methods available and the selection of the right one it is crucial to study in detail all the steps involved in the viral infection, quantifying and creating models of infection for relevant viruses such as HIV-1, Influenza, herpesvirus or SARS-CoV-1. Here we review the use of super-resolution microscopy (SRM) to study all steps involved in the viral infection and antiviral design. In light of the threat of new viruses, these studies could inspire future assays to unveil the viral mechanism of emerging viruses and further develop successful antivirals against them.
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Affiliation(s)
- Maria Arista-Romero
- Nanoscopy for Nanomedicine Group, Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Silvia Pujals
- Nanoscopy for Nanomedicine Group, Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Department of Electronics and Biomedical Engineering, Faculty of Physics, Universitat de Barcelona, Barcelona, Spain
| | - Lorenzo Albertazzi
- Nanoscopy for Nanomedicine Group, Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Department of Biomedical Engineering, Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, Eindhoven, Netherlands
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28
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Hinsdale TA, Stallinga S, Rieger B. High-speed multicolor structured illumination microscopy using a hexagonal single mode fiber array. BIOMEDICAL OPTICS EXPRESS 2021; 12:1181-1194. [PMID: 33680566 PMCID: PMC7901314 DOI: 10.1364/boe.416546] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 01/07/2021] [Accepted: 01/19/2021] [Indexed: 05/12/2023]
Abstract
Structured illumination microscopy (SIM) is a widely used imaging technique that doubles the effective resolution of widefield microscopes. Most current implementations rely on diffractive elements, either gratings or programmable devices, to generate structured light patterns in the sample. These can be limited by spectral efficiency, speed, or both. Here we introduce the concept of fiber SIM that allows for camera frame rate limited pattern generation and manipulation over a broad wavelength range. Illumination patterns are generated by coupling laser beams into radially opposite pairs of fibers in a hexagonal single mode fiber array where the exit beams are relayed to the microscope objective's back focal plane. The phase stepping and rotation of the illumination patterns are controlled by fast electro-optic devices. We achieved a rate of 111 SIM frames per second and imaged with excitation patterns generated by both 488 nm and 532 nm lasers.
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29
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Scherer KM, Manton JD, Soh TK, Mascheroni L, Connor V, Crump CM, Kaminski CF. A fluorescent reporter system enables spatiotemporal analysis of host cell modification during herpes simplex virus-1 replication. J Biol Chem 2021; 296:100236. [PMID: 33380421 PMCID: PMC7948757 DOI: 10.1074/jbc.ra120.016571] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 12/21/2020] [Accepted: 12/30/2020] [Indexed: 01/12/2023] Open
Abstract
Herpesviruses are large and complex viruses that have a long history of coevolution with their host species. One important factor in the virus-host interaction is the alteration of intracellular morphology during viral replication with critical implications for viral assembly. However, the details of this remodeling event are not well understood, in part because insufficient tools are available to deconstruct this highly heterogeneous process. To provide an accurate and reliable method of investigating the spatiotemporal dynamics of virus-induced changes to cellular architecture, we constructed a dual-fluorescent reporter virus that enabled us to classify four distinct stages in the infection cycle of herpes simplex virus-1 at the single cell level. This timestamping method can accurately track the infection cycle across a wide range of multiplicities of infection. We used high-resolution fluorescence microscopy analysis of cellular structures in live and fixed cells in concert with our reporter virus to generate a detailed and chronological overview of the spatial and temporal reorganization during viral replication. The highly orchestrated and striking relocation of many organelles around the compartments of secondary envelopment during transition from early to late gene expression suggests that the reshaping of these compartments is essential for virus assembly. We furthermore find that accumulation of HSV-1 capsids in the cytoplasm is accompanied by fragmentation of the Golgi apparatus with potential impact on the late steps of viral assembly. We anticipate that in the future similar tools can be systematically applied for the systems-level analysis of intracellular morphology during replication of other viruses.
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Affiliation(s)
- Katharina M Scherer
- Department of Chemical Engineering & Biotechnology, University of Cambridge, Cambridge, UK
| | - James D Manton
- Department of Chemical Engineering & Biotechnology, University of Cambridge, Cambridge, UK; MRC Laboratory of Molecular Biology, Cambridge, UK
| | - Timothy K Soh
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - Luca Mascheroni
- Department of Chemical Engineering & Biotechnology, University of Cambridge, Cambridge, UK
| | - Vivienne Connor
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - Colin M Crump
- Department of Pathology, University of Cambridge, Cambridge, UK.
| | - Clemens F Kaminski
- Department of Chemical Engineering & Biotechnology, University of Cambridge, Cambridge, UK.
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30
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Lu M, van Tartwijk FW, Lin JQ, Nijenhuis W, Parutto P, Fantham M, Christensen CN, Avezov E, Holt CE, Tunnacliffe A, Holcman D, Kapitein L, Schierle GSK, Kaminski CF. The structure and global distribution of the endoplasmic reticulum network are actively regulated by lysosomes. SCIENCE ADVANCES 2020; 6:eabc7209. [PMID: 33328230 PMCID: PMC7744115 DOI: 10.1126/sciadv.abc7209] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Accepted: 10/27/2020] [Indexed: 06/12/2023]
Abstract
The endoplasmic reticulum (ER) comprises morphologically and functionally distinct domains: sheets and interconnected tubules. These domains undergo dynamic reshaping in response to changes in the cellular environment. However, the mechanisms behind this rapid remodeling are largely unknown. Here, we report that ER remodeling is actively driven by lysosomes, following lysosome repositioning in response to changes in nutritional status: The anchorage of lysosomes to ER growth tips is critical for ER tubule elongation and connection. We validate this causal link via the chemo- and optogenetically driven repositioning of lysosomes, which leads to both a redistribution of the ER tubules and a change of its global morphology. Therefore, lysosomes sense metabolic change in the cell and regulate ER tubule distribution accordingly. Dysfunction in this mechanism during axonal extension may lead to axonal growth defects. Our results demonstrate a critical role of lysosome-regulated ER dynamics and reshaping in nutrient responses and neuronal development.
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Affiliation(s)
- Meng Lu
- Cambridge Infinitus Research Centre, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, UK
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, UK
| | - Francesca W van Tartwijk
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, UK
| | - Julie Qiaojin Lin
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, UK
- UK Dementia Research Institute at the University of Cambridge and Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0AH, UK
| | - Wilco Nijenhuis
- Cell Biology, Neurobiology and Biophysics, Department of Biology, Faculty of Science, Utrecht University, Padualaan 8, 3584 CH Utrecht, Netherlands
| | - Pierre Parutto
- Group of Computational Biology and Applied Mathematics, Institut de Biologie de l'École Normale Supérieure-PSL, 46 rue d'Ulm, 75005 Paris, France
| | - Marcus Fantham
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, UK
| | - Charles N Christensen
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, UK
| | - Edward Avezov
- UK Dementia Research Institute at the University of Cambridge and Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0AH, UK
| | - Christine E Holt
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge CB2 3DY, UK
| | - Alan Tunnacliffe
- Cambridge Infinitus Research Centre, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, UK
| | - David Holcman
- Group of Computational Biology and Applied Mathematics, Institut de Biologie de l'École Normale Supérieure-PSL, 46 rue d'Ulm, 75005 Paris, France
- Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge CB3 0WA, UK
| | - Lukas Kapitein
- Cell Biology, Neurobiology and Biophysics, Department of Biology, Faculty of Science, Utrecht University, Padualaan 8, 3584 CH Utrecht, Netherlands
| | - Gabriele S Kaminski Schierle
- Cambridge Infinitus Research Centre, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, UK
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, UK
| | - Clemens F Kaminski
- Cambridge Infinitus Research Centre, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, UK.
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, UK
- UK Dementia Research Institute at the University of Cambridge and Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0AH, UK
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31
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Stephens AD, Lu M, Fernandez-Villegas A, Kaminski Schierle GS. Fast Purification of Recombinant Monomeric Amyloid-β from E. coli and Amyloid-β-mCherry Aggregates from Mammalian Cells. ACS Chem Neurosci 2020; 11:3204-3213. [PMID: 32960567 PMCID: PMC7581289 DOI: 10.1021/acschemneuro.0c00300] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
The Alzheimer's disease related peptide, Amyloid-beta (Aβ)1-40 and 1-42, has proven difficult to be purified as a recombinant monomeric protein due its expression in E. coli leading to the formation of insoluble inclusion bodies and its tendency to quickly form insoluble aggregates. A vast array of methods have been used so far, yet many have pitfalls, such as the use of tags for ease of Aβ isolation, the formation of Aβ multimers within the time frame of extraction, or the need to reconstitute Aβ from a freeze-dried state. Here, we present a rapid protocol to produce highly pure and monomeric recombinant Aβ using a one-step ion exchange purification method and to label the peptide using a maleimide dye. The washing, solubilization, and purification steps take only 3 h. We also present a protocol for the isolation of Aβ-mCherry from mammalian cells.
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Affiliation(s)
- Amberley D. Stephens
- Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge, CB3 0AS, United Kingdom
| | - Meng Lu
- Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge, CB3 0AS, United Kingdom
| | - Ana Fernandez-Villegas
- Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge, CB3 0AS, United Kingdom
| | - Gabriele S. Kaminski Schierle
- Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge, CB3 0AS, United Kingdom
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32
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Ozgurun B, Cetin M. Compressed Sensing Structured Illumination Microscopy. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2020; 2020:1828-1831. [PMID: 33018355 DOI: 10.1109/embc44109.2020.9176487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
We propose a new framework for super-resolution structured illumination microscopy (SR-SIM) based on compressed sensing (CS). Our framework addresses several key problems in SIM, including long readout time and photobleaching. CS has the potential to eliminate these problems because it allows the reduction of the number of measurements, can record an image faster, and excites fluorochromes with less excitation light. Key contribution of our proposed method is that sampling and down-modulation of an object scene are simultaneously performed. The impact of our contribution is demonstrated by simulation-based experiments involving computer-generated super-resolution microscopy images, considering reductions in both data quality and quantity.
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33
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Richter V, Lanzerstorfer P, Weghuber J, Schneckenburger H. Super-Resolution Live Cell Microscopy of Membrane-Proximal Fluorophores. Int J Mol Sci 2020; 21:E7099. [PMID: 32993061 PMCID: PMC7582769 DOI: 10.3390/ijms21197099] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 09/14/2020] [Accepted: 09/22/2020] [Indexed: 01/02/2023] Open
Abstract
Here, we present a simple and robust experimental setup for the super-resolution live cell microscopy of membrane-proximal fluorophores, which is comparably easy to perform and to implement. The method is based on Structured Illumination Microscopy (SIM) with a switchable spatial light modulator (SLM) and exchangeable objective lenses for epi-illumination and total internal reflection fluorescence (TIRF) microscopy. While, in the case of SIM (upon epi-illumination), cell layers of about 1-2 µm in close proximity to the plasma membrane can be selected by software, layers in the 100 nm range are assessed experimentally by TIRF-SIM. To show the applicability of this approach, both methods are used to measure the translocation of the glucose transporter 4 (GLUT4) from intracellular vesicles to the plasma membrane upon stimulation by insulin or insulin-mimetic compounds, with a lateral resolution of around 100 nm and an axial resolution of around 200 nm. While SIM is an appropriate method to visualize the intracellular localization of GLUT4 fused with a green fluorescent protein, TIRF-SIM permits the quantitative evaluation of its fluorescence in the plasma membrane. These imaging methods are discussed in the context of fluorescence lifetime kinetics, providing additional data for the molecular microenvironment.
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Affiliation(s)
- Verena Richter
- Institute of Applied Research, Aalen University, 373430 Aalen, Germany;
| | - Peter Lanzerstorfer
- Department of Food Technology and Nutrition, University of Applied Sciences Upper Austria, 4600 Wels, Austria; (P.L.); (J.W.)
- Austrian Competence Center for Feed and Food Quality, Safety and Innovation, 3430 Tulln, Austria
| | - Julian Weghuber
- Department of Food Technology and Nutrition, University of Applied Sciences Upper Austria, 4600 Wels, Austria; (P.L.); (J.W.)
- Austrian Competence Center for Feed and Food Quality, Safety and Innovation, 3430 Tulln, Austria
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34
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Gorshkov K, Susumu K, Chen J, Xu M, Pradhan M, Zhu W, Hu X, Breger JC, Wolak M, Oh E. Quantum Dot-Conjugated SARS-CoV-2 Spike Pseudo-Virions Enable Tracking of Angiotensin Converting Enzyme 2 Binding and Endocytosis. ACS NANO 2020; 14:12234-12247. [PMID: 32845122 PMCID: PMC7482579 DOI: 10.1021/acsnano.0c05975] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 08/26/2020] [Indexed: 05/04/2023]
Abstract
The first step of SARS-CoV-2 infection is binding of the spike protein's receptor binding domain to the host cell's ACE2 receptor on the plasma membrane. Here, we have generated a versatile imaging probe using recombinant Spike receptor binding domain conjugated to fluorescent quantum dots (QDs). This probe is capable of engaging in energy transfer quenching with ACE2-conjugated gold nanoparticles to enable monitoring of the binding event in solution. Neutralizing antibodies and recombinant human ACE2 blocked quenching, demonstrating a specific binding interaction. In cells transfected with ACE2-GFP, we observed immediate binding of the probe on the cell surface followed by endocytosis. Neutralizing antibodies and ACE2-Fc fully prevented binding and endocytosis with low nanomolar potency. Importantly, we will be able to use this QD nanoparticle probe to identify and validate inhibitors of the SARS-CoV-2 Spike and ACE2 receptor binding in human cells. This work enables facile, rapid, and high-throughput cell-based screening of inhibitors for coronavirus Spike-mediated cell recognition and entry.
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Affiliation(s)
- Kirill Gorshkov
- National
Center for Advancing Translational Sciences, 9800 Medical Center Drive, Rockville, Maryland 20850, United States
| | - Kimihiro Susumu
- Optical
Sciences Division, Code 5600, Naval Research
Laboratory, 4555 Overlook
Avenue S.W., Washington, D.C. 20375, United
States
- Jacobs
Corporation, Hanover, Maryland 21076, United
States
| | - Jiji Chen
- Advanced
Imaging and Microscopy Resource, National
Institutes of Health, 13 South Drive, Bethesda, Maryland 20892, United
States
| | - Miao Xu
- National
Center for Advancing Translational Sciences, 9800 Medical Center Drive, Rockville, Maryland 20850, United States
| | - Manisha Pradhan
- National
Center for Advancing Translational Sciences, 9800 Medical Center Drive, Rockville, Maryland 20850, United States
| | - Wei Zhu
- National
Center for Advancing Translational Sciences, 9800 Medical Center Drive, Rockville, Maryland 20850, United States
| | - Xin Hu
- National
Center for Advancing Translational Sciences, 9800 Medical Center Drive, Rockville, Maryland 20850, United States
| | - Joyce C. Breger
- Center
for Bio/Molecular Science and Engineering, Code 6900, Naval Research Laboratory, 4555 Overlook Avenue S.W., Washington, D.C. 20375, United States
| | - Mason Wolak
- Optical
Sciences Division, Code 5600, Naval Research
Laboratory, 4555 Overlook
Avenue S.W., Washington, D.C. 20375, United
States
| | - Eunkeu Oh
- Optical
Sciences Division, Code 5600, Naval Research
Laboratory, 4555 Overlook
Avenue S.W., Washington, D.C. 20375, United
States
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35
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Lautenschläger J, Wagner-Valladolid S, Stephens AD, Fernández-Villegas A, Hockings C, Mishra A, Manton JD, Fantham MJ, Lu M, Rees EJ, Kaminski CF, Kaminski Schierle GS. Intramitochondrial proteostasis is directly coupled to α-synuclein and amyloid β1-42 pathologies. J Biol Chem 2020; 295:10138-10152. [PMID: 32385113 PMCID: PMC7383368 DOI: 10.1074/jbc.ra119.011650] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2019] [Revised: 04/30/2020] [Indexed: 12/16/2022] Open
Abstract
Mitochondrial dysfunction has long been implicated in the neurodegenerative disorder Parkinson's disease (PD); however, it is unclear how mitochondrial impairment and α-synuclein pathology are coupled. Using specific mitochondrial inhibitors, EM analysis, and biochemical assays, we report here that intramitochondrial protein homeostasis plays a major role in α-synuclein aggregation. We found that interference with intramitochondrial proteases, such as HtrA2 and Lon protease, and mitochondrial protein import significantly aggravates α-synuclein seeding. In contrast, direct inhibition of mitochondrial complex I, an increase in intracellular calcium concentration, or formation of reactive oxygen species, all of which have been associated with mitochondrial stress, did not affect α-synuclein pathology. We further demonstrate that similar mechanisms are involved in amyloid-β 1-42 (Aβ42) aggregation. Our results suggest that, in addition to other protein quality control pathways, such as the ubiquitin-proteasome system, mitochondria per se can influence protein homeostasis of cytosolic aggregation-prone proteins. We propose that approaches that seek to maintain mitochondrial fitness, rather than target downstream mitochondrial dysfunction, may aid in the search for therapeutic strategies to manage PD and related neuropathologies.
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Affiliation(s)
- Janin Lautenschläger
- Molecular Neuroscience Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, West Cambridge Site, Philippa Fawcett Drive, Cambridge, United Kingdom ;
| | - Sara Wagner-Valladolid
- Molecular Neuroscience Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, West Cambridge Site, Philippa Fawcett Drive, Cambridge, United Kingdom
| | - Amberley D Stephens
- Molecular Neuroscience Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, West Cambridge Site, Philippa Fawcett Drive, Cambridge, United Kingdom
| | - Ana Fernández-Villegas
- Molecular Neuroscience Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, West Cambridge Site, Philippa Fawcett Drive, Cambridge, United Kingdom
| | - Colin Hockings
- Molecular Neuroscience Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, West Cambridge Site, Philippa Fawcett Drive, Cambridge, United Kingdom
| | - Ajay Mishra
- Molecular Neuroscience Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, West Cambridge Site, Philippa Fawcett Drive, Cambridge, United Kingdom
| | - James D Manton
- Quantitative Imaging Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, West Cambridge Site, Philippa Fawcett Drive, Cambridge, United Kingdom
| | - Marcus J Fantham
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, West Cambridge Site, Philippa Fawcett Drive, Cambridge, United Kingdom
| | - Meng Lu
- Molecular Neuroscience Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, West Cambridge Site, Philippa Fawcett Drive, Cambridge, United Kingdom
| | - Eric J Rees
- Quantitative Imaging Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, West Cambridge Site, Philippa Fawcett Drive, Cambridge, United Kingdom
| | - Clemens F Kaminski
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, West Cambridge Site, Philippa Fawcett Drive, Cambridge, United Kingdom
| | - Gabriele S Kaminski Schierle
- Molecular Neuroscience Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, West Cambridge Site, Philippa Fawcett Drive, Cambridge, United Kingdom ;
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36
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Roth J, Mehl J, Rohrbach A. Fast TIRF-SIM imaging of dynamic, low-fluorescent biological samples. BIOMEDICAL OPTICS EXPRESS 2020; 11:4008-4026. [PMID: 33014582 PMCID: PMC7510889 DOI: 10.1364/boe.391561] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 05/12/2020] [Accepted: 05/19/2020] [Indexed: 05/26/2023]
Abstract
Fluorescence microscopy is the standard imaging technique to investigate the structures and dynamics of living cells. However, increasing the spatial resolution comes at the cost of temporal resolution and vice versa. In addition, the number of images that can be taken in sufficiently high quality is limited by fluorescence bleaching. Hence, super-resolved imaging at several Hertz of low fluorescent biological samples is still a big challenge and, especially in structured illumination microscopy (SIM), is often visible as imaging artifacts. In this paper, we present a TIRF-SIM system based on scan-mirrors and a Michelson interferometer, which generates images at 110 nm spatial resolution and up to 8 Hz temporal resolution. High resolution becomes possible by optimizing the illumination interference contrast, even for low fluorescent, moving samples. We provide a framework and guidelines on how the modulation contrast, which depends on laser coherence, polarization, beam displacement or sample movements, can be mapped over the entire field of view. In addition, we characterize the influence of the signal-to-noise ratio and the Wiener filtering on the quality of reconstructed SIM images, both in real and frequency space. Our results are supported by theoretical descriptions containing the parameters leading to image artifacts. This study aims to help microscopists to better understand and adjust optical parameters for structured illumination, thereby leading to more trustworthy measurements and analyses of biological dynamics.
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Affiliation(s)
- Julian Roth
- Laboratory for Bio- and Nano-Photonics, Department of Microsystems Engineering, University of Freiburg, Germany
| | - Johanna Mehl
- Laboratory for Bio- and Nano-Photonics, Department of Microsystems Engineering, University of Freiburg, Germany
- Laboratory of Applied Mechanobiology, Department of Health Science and Technology, ETH Zürich, Switzerland
| | - Alexander Rohrbach
- Laboratory for Bio- and Nano-Photonics, Department of Microsystems Engineering, University of Freiburg, Germany
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37
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Dora M, Holcman D. Active flow network generates molecular transport by packets: case of the endoplasmic reticulum. Proc Biol Sci 2020; 287:20200493. [PMID: 32605515 DOI: 10.1098/rspb.2020.0493] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Biological networks are characterized by their connectivity and topology but also by their ability to transport materials. In the case of random transportation, the efficacy is measured by the time it takes to travel between two nodes of the network. We study here the consequences of a unidirectional transport mechanism occurring in the endoplasmic reticulum (ER) network, a structure present in the cell cytoplasm. This unidirectional transport mechanism is an active-waiting transportation, where molecules have to wait a random time before being transported from one node to the next one. We develop here a general theory of transport in an active network and find an unusual network transportation, where molecules group together in redundant packets instead of being disperse. Finally, the mean time to travel between two nodes of the ER is of the order of 20 min, but is reduced to 30 s when we consider the fastest particles because it uses optimal paths. To conclude, the present theory shows that unidirectional transport is an efficient and robust mechanism for fast molecular redistribution inside the ER.
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Affiliation(s)
- M Dora
- Group of Computational Biology, IBENS, Ecole Normale Supérieure-PSL, Paris, France
| | - D Holcman
- Group of Computational Biology, IBENS, Ecole Normale Supérieure-PSL, Paris, France.,DAMPT, University of Cambridge and Churchill College, CB30DS Cambridge, UK
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38
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Yu W, Li Y, Jooken S, Deschaume O, Liu F, Wang S, Bartic C. Second-order optimized regularized structured illumination microscopy (sorSIM) for high-quality and rapid super resolution image reconstruction with low signal level. OPTICS EXPRESS 2020; 28:16708-16724. [PMID: 32549487 DOI: 10.1364/oe.390745] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 05/12/2020] [Indexed: 06/11/2023]
Abstract
Structured illumination microscopy (SIM) is a widely used super resolution imaging technique that can down-modulate a sample's high-frequency information into objective recordable frequencies to enhance the resolution below the diffraction limit. However, classical SIM image reconstruction methods often generate poor results under low illumination conditions, which are required for reducing photobleaching and phototoxicity in cell imaging experiments. Although denoising methods or auxiliary items improved SIM image reconstruction in low signal level situations, they still suffer from decreased reconstruction quality and significant background artifacts, inevitably limiting their practical applications. In order to improve the reconstruction quality, second-order optimized regularized SIM (sorSIM) is designed specifically for image reconstruction in low signal level situations. In sorSIM, a second-order regularization term is introduced to suppress noise effect, and the penalty factor in this term is selected to optimize the resolution enhancement and noise resistance. Compared to classical SIM image reconstruction algorithms as well as to those previously used in low illumination cases, the proposed sorSIM provides images with enhanced resolution and fewer background artifacts. Therefore, sorSIM can be a potential tool for high-quality and rapid super resolution imaging, especially for low signal images.
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39
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Oheim M, Salomon A, Brunstein M. Supercritical Angle Fluorescence Microscopy and Spectroscopy. Biophys J 2020; 118:2339-2348. [PMID: 32348720 PMCID: PMC7231923 DOI: 10.1016/j.bpj.2020.03.029] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 03/13/2020] [Accepted: 03/23/2020] [Indexed: 01/06/2023] Open
Abstract
Fluorescence detection, either involving propagating or near-field emission, is widely being used in spectroscopy, sensing, and microscopy. Total internal reflection fluorescence (TIRF) confines fluorescence excitation by an evanescent (near) field, and it is a popular contrast generator for surface-selective fluorescence assays. Its emission equivalent, supercritical angle fluorescence (SAF), is comparably less established, although it achieves a similar optical sectioning as TIRF does. SAF emerges when a fluorescing molecule is located very close to an interface and its near-field emission couples to the higher refractive index medium (n2 >n1) and becomes propagative. Then, most fluorescence is detectable on the side of the higher-index substrate, and a large fraction of this fluorescence is emitted into angles forbidden by Snell's law. SAF, as well as the undercritical angle fluorescence (UAF; far-field emission) components, can be collected with microscope objectives having a high-enough detection aperture (numerical aperture >n2) and be separated in the back focal plane by Fourier filtering. The back focal plane image encodes information about the fluorophore radiation pattern, and it can be analyzed to yield precise information about the refractive index in which the emitters are embedded, their nanometric distance from the interface, and their orientation. A SAF microscope can retrieve this near-field information through wide-field optics in a spatially resolved manner, and this functionality can be added to an existing inverted microscope. Here, we describe the potential underpinning of SAF microscopy and spectroscopy, particularly in comparison with TIRF. We review the challenges and opportunities that SAF presents from a biophysical perspective, and we discuss areas in which we see potential.
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Affiliation(s)
- Martin Oheim
- Saints-Pères Paris Institute for the Neurosciences, Université de Paris, CNRS, Paris, France.
| | - Adi Salomon
- Saints-Pères Paris Institute for the Neurosciences, Université de Paris, CNRS, Paris, France; Department of Chemistry, Institute of Nanotechnology and Advanced Materials, Bar-Ilan University, Ramat-Gan, Israel
| | - Maia Brunstein
- Saints-Pères Paris Institute for the Neurosciences, Université de Paris, CNRS, Paris, France; Chaire d'Excellence Junior, Université Sorbonne Paris Cité, Paris, France
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40
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Haddad S, Abánades Lázaro I, Fantham M, Mishra A, Silvestre-Albero J, Osterrieth JWM, Kaminski Schierle GS, Kaminski CF, Forgan RS, Fairen-Jimenez D. Design of a Functionalized Metal-Organic Framework System for Enhanced Targeted Delivery to Mitochondria. J Am Chem Soc 2020; 142:6661-6674. [PMID: 32182066 PMCID: PMC7146860 DOI: 10.1021/jacs.0c00188] [Citation(s) in RCA: 83] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Indexed: 12/27/2022]
Abstract
Mitochondria play a key role in oncogenesis and constitute one of the most important targets for cancer treatments. Although the most effective way to deliver drugs to mitochondria is by covalently linking them to a lipophilic cation, the in vivo delivery of free drugs still constitutes a critical bottleneck. Herein, we report the design of a mitochondria-targeted metal-organic framework (MOF) that greatly increases the efficacy of a model cancer drug, reducing the required dose to less than 1% compared to the free drug and ca. 10% compared to the nontargeted MOF. The performance of the system is evaluated using a holistic approach ranging from microscopy to transcriptomics. Super-resolution microscopy of MCF-7 cells treated with the targeted MOF system reveals important mitochondrial morphology changes that are clearly associated with cell death as soon as 30 min after incubation. Whole transcriptome analysis of cells indicates widespread changes in gene expression when treated with the MOF system, specifically in biological processes that have a profound effect on cell physiology and that are related to cell death. We show how targeting MOFs toward mitochondria represents a valuable strategy for the development of new drug delivery systems.
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Affiliation(s)
- Salame Haddad
- Adsorption
& Advanced Materials Laboratory (AAML), Department of Chemical
Engineering & Biotechnology, University
of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, U.K.
| | - Isabel Abánades Lázaro
- WestCHEM
School of Chemistry, University of Glasgow, Joseph Black Building, University
Avenue, Glasgow G12 8QQ, U.K.
| | - Marcus Fantham
- Laser
Analytics Group, Department of Chemical Engineering & Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, U.K.
| | - Ajay Mishra
- Cambridge
Infinitus Research Centre, Department of Chemical Engineering &
Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, U.K.
| | - Joaquin Silvestre-Albero
- Laboratorio
de Materiales Avanzados, Departamento de Química Inorgánica-Instituto
Universitario de Materiales, Universidad
de Alicante, E-03690 San Vicente del Raspeig, Spain
| | - Johannes W. M. Osterrieth
- Adsorption
& Advanced Materials Laboratory (AAML), Department of Chemical
Engineering & Biotechnology, University
of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, U.K.
| | - Gabriele S. Kaminski Schierle
- Molecular
Neuroscience Group, Department of Chemical Engineering & Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, U.K.
| | - Clemens F. Kaminski
- Laser
Analytics Group, Department of Chemical Engineering & Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, U.K.
| | - Ross S. Forgan
- WestCHEM
School of Chemistry, University of Glasgow, Joseph Black Building, University
Avenue, Glasgow G12 8QQ, U.K.
| | - David Fairen-Jimenez
- Adsorption
& Advanced Materials Laboratory (AAML), Department of Chemical
Engineering & Biotechnology, University
of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, U.K.
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41
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Johnson KA, Hagen GM. Artifact-free whole-slide imaging with structured illumination microscopy and Bayesian image reconstruction. Gigascience 2020; 9:giaa035. [PMID: 32285910 PMCID: PMC7155289 DOI: 10.1093/gigascience/giaa035] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 12/06/2019] [Accepted: 03/24/2020] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Structured illumination microscopy (SIM) is a method that can be used to image biological samples and can achieve both optical sectioning and super-resolution effects. Optimization of the imaging set-up and data-processing methods results in high-quality images without artifacts due to mosaicking or due to the use of SIM methods. Reconstruction methods based on Bayesian estimation can be used to produce images with a resolution beyond that dictated by the optical system. FINDINGS Five complete datasets are presented including large panoramic SIM images of human tissues in pathophysiological conditions. Cancers of the prostate, skin, ovary, and breast, as well as tuberculosis of the lung, were imaged using SIM. The samples are available commercially and are standard histological preparations stained with hematoxylin-eosin. CONCLUSION The use of fluorescence microscopy is increasing in histopathology. There is a need for methods that reduce artifacts caused by the use of image-stitching methods or optical sectioning methods such as SIM. Stitched SIM images produce results that may be useful for intraoperative histology. Releasing high-quality, full-slide images and related data will aid researchers in furthering the field of fluorescent histopathology.
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Affiliation(s)
- Karl A Johnson
- UCCS BioFrontiers Center, University of Colorado at Colorado Springs, 1420 Austin Bluffs Parkway, Colorado Springs, CO 80918, USA
| | - Guy M Hagen
- UCCS BioFrontiers Center, University of Colorado at Colorado Springs, 1420 Austin Bluffs Parkway, Colorado Springs, CO 80918, USA
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42
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Ghézali G, Vasile F, Curry N, Fantham M, Cheung G, Ezan P, Cohen-Salmon M, Kaminski C, Rouach N. Neuronal Activity Drives Astroglial Connexin 30 in Perisynaptic Processes and Shapes Its Functions. Cereb Cortex 2020; 30:753-766. [PMID: 31271200 PMCID: PMC7086174 DOI: 10.1093/cercor/bhz123] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Revised: 04/22/2019] [Accepted: 05/17/2019] [Indexed: 12/17/2022] Open
Abstract
Astrocytes play key roles in brain functions through dynamic interactions with neurons. One of their typical features is to express high levels of connexins (Cxs), Cx43 and Cx30, the gap junction (GJ)-forming proteins. Cx30 is involved in basic cognitive processes and shapes synaptic and network activities, as shown by recent studies in transgenic animals. Yet it remains unknown whether astroglial Cx30 expression, localization, and functions are endogenously and dynamically regulated by neuronal activity and could therefore play physiological roles in neurotransmission. We here show that neuronal activity increased hippocampal Cx30 protein levels via a posttranslational mechanism regulating lysosomal degradation. Neuronal activity also increased Cx30 protein levels at membranes and perisynaptic processes, as revealed by superresolution imaging. This translated at the functional level in the activation of Cx30 hemichannels and in Cx30-mediated remodeling of astrocyte morphology independently of GJ biochemical coupling. Altogether, these data show activity-dependent dynamics of Cx30 expression, perisynaptic localization, and functions.
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Affiliation(s)
- Grégory Ghézali
- Neuroglial Interactions in Cerebral Physiology, Center for Interdisciplinary Research in Biology, Collège de France, CNRS UMR 7241, INSERM U1050, Labex Memolife, PSL Research University, 75005 Paris, France
- Doctoral School N° 158, Pierre and Marie Curie University, 75006 Paris, France
| | - Flora Vasile
- Neuroglial Interactions in Cerebral Physiology, Center for Interdisciplinary Research in Biology, Collège de France, CNRS UMR 7241, INSERM U1050, Labex Memolife, PSL Research University, 75005 Paris, France
- Doctoral School N°474, Rene Descartes University, 75006 Paris, France
| | - Nathan Curry
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, UK
| | - Marcus Fantham
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, UK
| | - Giselle Cheung
- Neuroglial Interactions in Cerebral Physiology, Center for Interdisciplinary Research in Biology, Collège de France, CNRS UMR 7241, INSERM U1050, Labex Memolife, PSL Research University, 75005 Paris, France
| | - Pascal Ezan
- Neuroglial Interactions in Cerebral Physiology, Center for Interdisciplinary Research in Biology, Collège de France, CNRS UMR 7241, INSERM U1050, Labex Memolife, PSL Research University, 75005 Paris, France
| | - Martine Cohen-Salmon
- Neuroglial Interactions in Cerebral Physiology, Center for Interdisciplinary Research in Biology, Collège de France, CNRS UMR 7241, INSERM U1050, Labex Memolife, PSL Research University, 75005 Paris, France
| | - Clemens Kaminski
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, UK
| | - Nathalie Rouach
- Neuroglial Interactions in Cerebral Physiology, Center for Interdisciplinary Research in Biology, Collège de France, CNRS UMR 7241, INSERM U1050, Labex Memolife, PSL Research University, 75005 Paris, France
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43
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ZENG HUI, YANG HUAIDONG, LIU GUOXUAN, ZHANG SICHUN, ZHANG XINRONG, ZHANG YINXIN. Simultaneous multicolour imaging using quantum dot structured illumination microscopy. J Microsc 2020; 277:32-41. [DOI: 10.1111/jmi.12862] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Accepted: 01/09/2020] [Indexed: 02/06/2023]
Affiliation(s)
- HUI ZENG
- State Key Laboratory of Precision Measurement Technology and InstrumentsTsinghua UniversityBeijing China
| | - HUAIDONG YANG
- State Key Laboratory of Precision Measurement Technology and InstrumentsTsinghua UniversityBeijing China
| | - GUOXUAN LIU
- State Key Laboratory of Precision Measurement Technology and InstrumentsTsinghua UniversityBeijing China
| | - SICHUN ZHANG
- Beijing Key Laboratory of Microanalytical Methods and Instruments, Department of ChemistryTsinghua UniversityBeijing China
| | - XINRONG ZHANG
- Beijing Key Laboratory of Microanalytical Methods and Instruments, Department of ChemistryTsinghua UniversityBeijing China
| | - YINXIN ZHANG
- Key Laboratory of Opto‐electronic Information Technology, Ministry of EducationTianJin UniversityTianjin China
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44
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Badawi Y, Nishimune H. Super-resolution microscopy for analyzing neuromuscular junctions and synapses. Neurosci Lett 2020; 715:134644. [PMID: 31765730 PMCID: PMC6937598 DOI: 10.1016/j.neulet.2019.134644] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 11/20/2019] [Accepted: 11/21/2019] [Indexed: 12/12/2022]
Abstract
Super-resolution microscopy techniques offer subdiffraction limited resolution that is two- to ten-fold improved compared to that offered by conventional confocal microscopy. This breakthrough in resolution for light microscopy has contributed to new findings in neuroscience and synapse biology. This review will focus on the Structured Illumination Microscopy (SIM), Stimulated emission depletion (STED) microscopy, and Stochastic optical reconstruction microscopy (STORM) / Single molecule localization microscopy (SMLM) techniques and compare them for the better understanding of their differences and their suitability for the analysis of synapse biology. In addition, we will discuss a few practical aspects of these microscopic techniques, including resolution, image acquisition speed, multicolor capability, and other advantages and disadvantages. Tips for the improvement of microscopy will be introduced; for example, information resources for recommended dyes, the limitations of multicolor analysis, and capabilities for live imaging. In addition, we will summarize how super-resolution microscopy has been used for analyses of neuromuscular junctions and synapses.
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Affiliation(s)
- Yomna Badawi
- Department of Anatomy and Cell Biology, University of Kansas School of Medicine, Kansas City, KS, 66160, USA
| | - Hiroshi Nishimune
- Department of Anatomy and Cell Biology, University of Kansas School of Medicine, Kansas City, KS, 66160, USA.
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45
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Stephens AD, Lu M, Schierle GSK. Isolation and Imaging of His- and RFP-tagged Amyloid-like Proteins from Caenorhabditis elegans by TEM and SIM. Bio Protoc 2019; 9:e3408. [PMID: 33654909 PMCID: PMC7853938 DOI: 10.21769/bioprotoc.3408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 10/28/2019] [Accepted: 10/14/2019] [Indexed: 02/02/2023] Open
Abstract
In our recently published paper, we highlight that during normal aging of C. elegans age-dependent aggregates of proteins form and lead to functional decline of tissues. The protocol described here details the isolation of two proteins from C. elegans in their aggregated amyloid-like form, casein kinase I isoform alpha (KIN-19) and Ras-like GTP-binding protein rhoA (RHO-1). We used nickel beads to isolate His-tagged KIN-19 and RHO-1, and thus permitting the isolation of both small and large aggregated or fibrillary forms of the proteins. We characterized their morphology by transmission electron microscopy. We further expressed RFP-tagged proteins and stained them with a fluorescent molecule, thioflavin T, which identifies β-sheet structures, and which is a defining feature of amyloid fibrils. We further applied structured illumination microscopy to determine the level of colocalization between RFP and thioflavin T.
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Affiliation(s)
- Amberley D. Stephens
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge, UK
| | - Meng Lu
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge, UK
| | - Gabriele S. Kaminski Schierle
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge, UK
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46
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Zhanghao K, Chen X, Liu W, Li M, Liu Y, Wang Y, Luo S, Wang X, Shan C, Xie H, Gao J, Chen X, Jin D, Li X, Zhang Y, Dai Q, Xi P. Super-resolution imaging of fluorescent dipoles via polarized structured illumination microscopy. Nat Commun 2019; 10:4694. [PMID: 31619676 PMCID: PMC6795901 DOI: 10.1038/s41467-019-12681-w] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Accepted: 09/20/2019] [Indexed: 12/26/2022] Open
Abstract
Fluorescence polarization microscopy images both the intensity and orientation of fluorescent dipoles and plays a vital role in studying molecular structures and dynamics of bio-complexes. However, current techniques remain difficult to resolve the dipole assemblies on subcellular structures and their dynamics in living cells at super-resolution level. Here we report polarized structured illumination microscopy (pSIM), which achieves super-resolution imaging of dipoles by interpreting the dipoles in spatio-angular hyperspace. We demonstrate the application of pSIM on a series of biological filamentous systems, such as cytoskeleton networks and λ-DNA, and report the dynamics of short actin sliding across a myosin-coated surface. Further, pSIM reveals the side-by-side organization of the actin ring structures in the membrane-associated periodic skeleton of hippocampal neurons and images the dipole dynamics of green fluorescent protein-labeled microtubules in live U2OS cells. pSIM applies directly to a large variety of commercial and home-built SIM systems with various imaging modality. Polarization microscopy has been combined with single-molecule localization, but it’s often limited in either speed or resolution. Here the authors present polarized Structured Illumination Microscopy (pSIM), a method that uses polarized laser excitation to measure dye orientation during fast super-resolution live cell imaging.
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Affiliation(s)
- Karl Zhanghao
- Department of Biomedical Engineering, College of Engineering, Peking University, 100871, Beijing, China.
| | - Xingye Chen
- Department of Automation, Tsinghua University, 100084, Beijing, China
| | - Wenhui Liu
- Department of Automation, Tsinghua University, 100084, Beijing, China
| | - Meiqi Li
- Department of Biomedical Engineering, College of Engineering, Peking University, 100871, Beijing, China
| | - Yiqiong Liu
- PKU-IDG/McGovern Institute for Brain Research, Peking University, 100871, Beijing, China
| | - Yiming Wang
- PKU-IDG/McGovern Institute for Brain Research, Peking University, 100871, Beijing, China
| | - Sha Luo
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China
| | - Xiao Wang
- State Key Laboratory of Biomembrane and Membrane Biotechnology, College of Life Sciences, Peking University, 100871, Beijing, China
| | - Chunyan Shan
- College of Life Sciences, Peking University, 100871, Beijing, China
| | - Hao Xie
- Department of Automation, Tsinghua University, 100084, Beijing, China
| | - Juntao Gao
- Department of Automation, Tsinghua University, 100084, Beijing, China
| | - Xiaowei Chen
- State Key Laboratory of Biomembrane and Membrane Biotechnology, College of Life Sciences, Peking University, 100871, Beijing, China
| | - Dayong Jin
- Institute for Biomedical Materials & Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW, 2007, Australia
| | - Xiangdong Li
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China.,University of Chinese Academy of Sciences, 100049, Beijing, China
| | - Yan Zhang
- PKU-IDG/McGovern Institute for Brain Research, Peking University, 100871, Beijing, China
| | - Qionghai Dai
- Department of Automation, Tsinghua University, 100084, Beijing, China.
| | - Peng Xi
- Department of Biomedical Engineering, College of Engineering, Peking University, 100871, Beijing, China.
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47
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Oheim M, Salomon A, Weissman A, Brunstein M, Becherer U. Calibrating Evanescent-Wave Penetration Depths for Biological TIRF Microscopy. Biophys J 2019; 117:795-809. [PMID: 31439287 DOI: 10.1016/j.bpj.2019.07.048] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 07/08/2019] [Accepted: 07/23/2019] [Indexed: 11/28/2022] Open
Abstract
Roughly half of a cell's proteins are located at or near the plasma membrane. In this restricted space, the cell senses its environment, signals to its neighbors, and exchanges cargo through exo- and endocytotic mechanisms. Ligands bind to receptors, ions flow across channel pores, and transmitters and metabolites are transported against concentration gradients. Receptors, ion channels, pumps, and transporters are the molecular substrates of these biological processes, and they constitute important targets for drug discovery. Total internal reflection fluorescence (TIRF) microscopy suppresses the background from the cell's deeper layers and provides contrast for selectively imaging dynamic processes near the basal membrane of live cells. The optical sectioning of TIRF is based on the excitation confinement of the evanescent wave generated at the glass/cell interface. How deep the excitation light actually penetrates the sample is difficult to know, making the quantitative interpretation of TIRF data problematic. Nevertheless, many applications like superresolution microscopy, colocalization, Förster resonance energy transfer, near-membrane fluorescence recovery after photobleaching, uncaging or photoactivation/switching as well as single-particle tracking require the quantitative interpretation of evanescent-wave-excited images. Here, we review existing techniques for characterizing evanescent fields, and we provide a roadmap for comparing TIRF data across images, experiments, and laboratories.
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Affiliation(s)
- Martin Oheim
- Université de Paris, CNRS, Saints-Pères Paris Institute for the Neurosciences (SPPIN), Paris, France.
| | - Adi Salomon
- Department of Chemistry, Institute of Nanotechnology and Advanced Materials (BINA), Bar-Ilan University, Ramat Gan, Israel
| | - Adam Weissman
- Department of Chemistry, Institute of Nanotechnology and Advanced Materials (BINA), Bar-Ilan University, Ramat Gan, Israel
| | - Maia Brunstein
- Université de Paris, CNRS, Saints-Pères Paris Institute for the Neurosciences (SPPIN), Paris, France; Chaire d'Excellence Junior, Université Sorbonne Paris Cité, Paris, France
| | - Ute Becherer
- Saarland University, Department of Physiology, CIPMM, Homburg/Saar, Germany
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48
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Huang C, Wagner-Valladolid S, Stephens AD, Jung R, Poudel C, Sinnige T, Lechler MC, Schlörit N, Lu M, Laine RF, Michel CH, Vendruscolo M, Kaminski CF, Kaminski Schierle GS, David DC. Intrinsically aggregation-prone proteins form amyloid-like aggregates and contribute to tissue aging in Caenorhabditis elegans. eLife 2019; 8:e43059. [PMID: 31050339 PMCID: PMC6524967 DOI: 10.7554/elife.43059] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Accepted: 05/02/2019] [Indexed: 12/13/2022] Open
Abstract
Reduced protein homeostasis leading to increased protein instability is a common molecular feature of aging, but it remains unclear whether this is a cause or consequence of the aging process. In neurodegenerative diseases and other amyloidoses, specific proteins self-assemble into amyloid fibrils and accumulate as pathological aggregates in different tissues. More recently, widespread protein aggregation has been described during normal aging. Until now, an extensive characterization of the nature of age-dependent protein aggregation has been lacking. Here, we show that age-dependent aggregates are rapidly formed by newly synthesized proteins and have an amyloid-like structure resembling that of protein aggregates observed in disease. We then demonstrate that age-dependent protein aggregation accelerates the functional decline of different tissues in C. elegans. Together, these findings imply that amyloid-like aggregates contribute to the aging process and therefore could be important targets for strategies designed to maintain physiological functions in the late stages of life.
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Affiliation(s)
- Chaolie Huang
- German Center for Neurodegenerative Diseases (DZNE)TübingenGermany
| | - Sara Wagner-Valladolid
- Department of Chemical Engineering and BiotechnologyUniversity of CambridgeCambridgeUnited Kingdom
| | - Amberley D Stephens
- Department of Chemical Engineering and BiotechnologyUniversity of CambridgeCambridgeUnited Kingdom
| | - Raimund Jung
- German Center for Neurodegenerative Diseases (DZNE)TübingenGermany
| | - Chetan Poudel
- Department of Chemical Engineering and BiotechnologyUniversity of CambridgeCambridgeUnited Kingdom
| | - Tessa Sinnige
- Department of ChemistryUniversity of CambridgeCambridgeUnited Kingdom
| | - Marie C Lechler
- German Center for Neurodegenerative Diseases (DZNE)TübingenGermany
- Graduate Training Centre of NeuroscienceUniversity of TübingenTübingenGermany
| | - Nicole Schlörit
- German Center for Neurodegenerative Diseases (DZNE)TübingenGermany
- Graduate Training Centre of NeuroscienceUniversity of TübingenTübingenGermany
| | - Meng Lu
- Department of Chemical Engineering and BiotechnologyUniversity of CambridgeCambridgeUnited Kingdom
| | - Romain F Laine
- Department of Chemical Engineering and BiotechnologyUniversity of CambridgeCambridgeUnited Kingdom
| | - Claire H Michel
- Department of Chemical Engineering and BiotechnologyUniversity of CambridgeCambridgeUnited Kingdom
| | | | - Clemens F Kaminski
- Department of Chemical Engineering and BiotechnologyUniversity of CambridgeCambridgeUnited Kingdom
| | | | - Della C David
- German Center for Neurodegenerative Diseases (DZNE)TübingenGermany
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49
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Ströhl F, Kaminski CF. A concept for single-shot volumetric fluorescence imaging via orthogonally polarized excitation lattices. Sci Rep 2019; 9:6425. [PMID: 31015487 PMCID: PMC6478832 DOI: 10.1038/s41598-019-42743-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Accepted: 04/08/2019] [Indexed: 11/08/2022] Open
Abstract
The deconvolution of widefield fluorescence images provides only guesses of spatial frequency information along the optical axis due to the so called missing cone in the optical transfer function. Retaining the single-shot imaging speed of deconvolution microscopy while gaining access to missing cone information is thus highly desirable for microscopy of volumetric samples. Here, we present a concept that superimposes two orthogonally polarized excitation lattices with a phase-shift of p between them. In conjunction with a non-iterative image reconstruction algorithm this permits the restoration of missing cone information. We show how fluorescence anisotropy could be used as a method to encode and decode the patterns simultaneously and develop a rigorous theoretical framework for the method. Through in-silico experiments and imaging of fixed biological cells on a structured illumination microscope that emulates the proposed setup we validate the feasibility of the method.
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Affiliation(s)
- Florian Ströhl
- Department of Chemical Engineering and Biotechnology, University of Cambridge, CB3 0AS, Cambridge, UK.
- Department of Physics and Technology, UiT-The Arctic University of Norway, 9037, Tromsø, Norway.
| | - Clemens F Kaminski
- Department of Chemical Engineering and Biotechnology, University of Cambridge, CB3 0AS, Cambridge, UK.
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Increasing Resolution in Live Cell Microscopy by Structured Illumination (SIM). APPLIED SCIENCES-BASEL 2019. [DOI: 10.3390/app9061188] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
In the context of various approaches to super-resolution microscopy, structured illumination microscopy (SIM) offers several advantages: it needs rather low light doses (with a low risk of phototoxicity or photobleaching), is comparably fast and flexible concerning the use of microscopes, objective lenses and cameras, and has potential for 3D imaging. This paper describes an experimental setup for SIM with first diffraction orders of a spectral light modulator (SLM) creating an interference pattern in two dimensions. We kept this system rather compact with a comparably large illuminated object field, validated it with nano-beads and applied it further to living cells for imaging the cytoskeleton, mitochondria or cell nuclei with a resolution slightly above 100 nm. Its advantages, challenges and limitations—concerning cameras, acquisition time, depth of imaging, light exposure, and combining it with further super-resolving methods—are discussed.
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