1
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Liu S, Chen J, Hellgoth J, Müller LR, Ferdman B, Karras C, Xiao D, Lidke KA, Heintzmann R, Shechtman Y, Li Y, Ries J. Universal inverse modeling of point spread functions for SMLM localization and microscope characterization. Nat Methods 2024; 21:1082-1093. [PMID: 38831208 DOI: 10.1038/s41592-024-02282-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 04/16/2024] [Indexed: 06/05/2024]
Abstract
The point spread function (PSF) of a microscope describes the image of a point emitter. Knowing the accurate PSF model is essential for various imaging tasks, including single-molecule localization, aberration correction and deconvolution. Here we present universal inverse modeling of point spread functions (uiPSF), a toolbox to infer accurate PSF models from microscopy data, using either image stacks of fluorescent beads or directly images of blinking fluorophores, the raw data in single-molecule localization microscopy (SMLM). Our modular framework is applicable to a variety of microscope modalities and the PSF model incorporates system- or sample-specific characteristics, for example, the bead size, field- and depth- dependent aberrations, and transformations among channels. We demonstrate its application in single or multiple channels or large field-of-view SMLM systems, 4Pi-SMLM, and lattice light-sheet microscopes using either bead data or single-molecule blinking data.
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Affiliation(s)
- Sheng Liu
- Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA
- European Molecular Biology Laboratory, Cell Biology and Biophysics, Heidelberg, Germany
| | - Jianwei Chen
- Department of Biomedical Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Southern University of Science and Technology, Shenzhen, China
- Collaboration for joint PhD degree between Southern University of Science and Technology and Harbin Institute of Technology, Harbin, China
| | - Jonas Hellgoth
- European Molecular Biology Laboratory, Cell Biology and Biophysics, Heidelberg, Germany
- Faculty of Biosciences, Collaboration for joint PhD degree from EMBL and Heidelberg University, Heidelberg, Germany
| | - Lucas-Raphael Müller
- European Molecular Biology Laboratory, Cell Biology and Biophysics, Heidelberg, Germany
- Machine Learning in Science, Excellence Cluster Machine Learning, University of Tübingen, Tübingen, Germany
| | - Boris Ferdman
- Department of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa, Israel
| | - Christian Karras
- Leibniz Institute of Photonic Technology, Jena, Germany
- JENOPTIK Optical Systems, Jena, Germany
| | - Dafei Xiao
- Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel
| | - Keith A Lidke
- Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA
| | - Rainer Heintzmann
- Leibniz Institute of Photonic Technology, Jena, Germany
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller-University Jena, Jena, Germany
| | - Yoav Shechtman
- Department of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa, Israel
- Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Yiming Li
- Department of Biomedical Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Southern University of Science and Technology, Shenzhen, China.
| | - Jonas Ries
- European Molecular Biology Laboratory, Cell Biology and Biophysics, Heidelberg, Germany.
- Max Perutz Labs, Vienna Biocenter Campus, Vienna, Austria.
- Department of Structural and Computational Biology, Center for Molecular Biology, University of Vienna, Vienna, Austria.
- Faculty of Physics, University of Vienna, Vienna, Austria.
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2
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Power RM, Tschanz A, Zimmermann T, Ries J. Build and operation of a custom 3D, multicolor, single-molecule localization microscope. Nat Protoc 2024:10.1038/s41596-024-00989-x. [PMID: 38702387 DOI: 10.1038/s41596-024-00989-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 02/19/2024] [Indexed: 05/06/2024]
Abstract
Single-molecule localization microscopy (SMLM) enables imaging scientists to visualize biological structures with unprecedented resolution. Particularly powerful implementations of SMLM are capable of three-dimensional, multicolor and high-throughput imaging and can yield key biological insights. However, widespread access to these technologies is limited, primarily by the cost of commercial options and complexity of de novo development of custom systems. Here we provide a comprehensive guide for interested researchers who wish to establish a high-end, custom-built SMLM setup in their laboratories. We detail the initial configuration and subsequent assembly of the SMLM, including the instructions for the alignment of all the optical pathways, the software and hardware integration, and the operation of the instrument. We describe the validation steps, including the preparation and imaging of test and biological samples with structures of well-defined geometries, and assist the user in troubleshooting and benchmarking the system's performance. Additionally, we provide a walkthrough of the reconstruction of a super-resolved dataset from acquired raw images using the Super-resolution Microscopy Analysis Platform. Depending on the instrument configuration, the cost of the components is in the range US$95,000-180,000, similar to other open-source advanced SMLMs, and substantially lower than the cost of a commercial instrument. A builder with some experience of optical systems is expected to require 4-8 months from the start of the system construction to attain high-quality three-dimensional and multicolor biological images.
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Affiliation(s)
- Rory M Power
- EMBL Imaging Centre, EMBL Heidelberg, Heidelberg, Germany.
| | - Aline Tschanz
- Cell Biology and Biophysics Unit, EMBL Heidelberg, Heidelberg, Germany
| | - Timo Zimmermann
- EMBL Imaging Centre, EMBL Heidelberg, Heidelberg, Germany
- Cell Biology and Biophysics Unit, EMBL Heidelberg, Heidelberg, Germany
| | - Jonas Ries
- Cell Biology and Biophysics Unit, EMBL Heidelberg, Heidelberg, Germany.
- Max Perutz Labs, Vienna Biocenter Campus, Vienna, Austria.
- University of Vienna, Center for Molecular Biology, Department of Structural and Computational Biology, Vienna, Austria.
- University of Vienna, Faculty of Physics, Vienna, Austria.
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3
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Blundon JM, Cesar BI, Bae JW, Čavka I, Haversat J, Ries J, Köhler S, Kim Y. Skp1 proteins are structural components of the synaptonemal complex in C. elegans. SCIENCE ADVANCES 2024; 10:eadl4876. [PMID: 38354250 PMCID: PMC10866564 DOI: 10.1126/sciadv.adl4876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 01/12/2024] [Indexed: 02/16/2024]
Abstract
The synaptonemal complex (SC) is a zipper-like protein assembly that links homologous chromosomes to regulate recombination and segregation during meiosis. The SC has been notoriously refractory to in vitro reconstitution, thus leaving its molecular organization largely unknown. Here, we report a moonlighting function of two paralogous S-phase kinase-associated protein 1 (Skp1)-related proteins (SKR-1 and SKR-2), well-known adaptors of the Skp1-Cul1-F-box (SCF) ubiquitin ligase, as the key missing components of the SC in Caenorhabditis elegans. SKR proteins repurpose their SCF-forming interfaces to dimerize and interact with meiosis-specific SC proteins, thereby driving synapsis independent of SCF activity. SKR-1 enables the formation of the long-sought-after soluble complex with previously identified SC proteins in vitro, which we propose it to represent a complete SC building block. Our findings demonstrate how a conserved cell cycle regulator has been co-opted to interact with rapidly evolving meiotic proteins to construct the SC and provide a foundation for understanding its structure and assembly mechanisms.
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Affiliation(s)
- Joshua M. Blundon
- Department of Biology, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Brenda I. Cesar
- Department of Biology, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Jung Woo Bae
- Department of Biology, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Ivana Čavka
- The European Molecular Biology Laboratory, Heidelberg, Germany
- Collaboration for joint PhD degree between EMBL and Heidelberg University, Faculty of Biosciences, Heidelberg, Germany
| | - Jocelyn Haversat
- Department of Biology, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Jonas Ries
- The European Molecular Biology Laboratory, Heidelberg, Germany
| | - Simone Köhler
- The European Molecular Biology Laboratory, Heidelberg, Germany
| | - Yumi Kim
- Department of Biology, Johns Hopkins University, Baltimore, MD 21218, USA
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4
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Liu S, Chen J, Hellgoth J, Müller LR, Ferdman B, Karras C, Xiao D, Lidke KA, Heintzmann R, Shechtman Y, Li Y, Ries J. Universal inverse modelling of point spread functions for SMLM localization and microscope characterization. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.26.564064. [PMID: 37961269 PMCID: PMC10634843 DOI: 10.1101/2023.10.26.564064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
The point spread function (PSF) of a microscope describes the image of a point emitter. Knowing the accurate PSF model is essential for various imaging tasks, including single molecule localization, aberration correction and deconvolution. Here we present uiPSF (universal inverse modelling of Point Spread Functions), a toolbox to infer accurate PSF models from microscopy data, using either image stacks of fluorescent beads or directly images of blinking fluorophores, the raw data in single molecule localization microscopy (SMLM). The resulting PSF model enables accurate 3D super-resolution imaging using SMLM. Additionally, uiPSF can be used to characterize and optimize a microscope system by quantifying the aberrations, including field-dependent aberrations, and resolutions. Our modular framework is applicable to a variety of microscope modalities and the PSF model incorporates system or sample specific characteristics, e.g., the bead size, depth dependent aberrations and transformations among channels. We demonstrate its application in single or multiple channels or large field-of-view SMLM systems, 4Pi-SMLM, and lattice light-sheet microscopes using either bead data or single molecule blinking data.
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Affiliation(s)
- Sheng Liu
- Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA
| | - Jianwei Chen
- Department of Biomedical Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Southern University of Science and Technology, Shenzhen, China
- Collaboration for joint PhD degree between Southern University of Science and Technology and Harbin Institute of Technology, Harbin, 150001, China
| | - Jonas Hellgoth
- European Molecular Biology Laboratory, Cell Biology and Biophysics, Heidelberg, Germany
| | - Lucas-Raphael Müller
- European Molecular Biology Laboratory, Cell Biology and Biophysics, Heidelberg, Germany
| | - Boris Ferdman
- Department of Biomedical Engineering, Technion–Israel Institute of Technology, Haifa, Israel
| | - Christian Karras
- Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745, Jena, Germany
- Currently at JENOPTIK Optical Systems GmbH, Jena, Germany
| | - Dafei Xiao
- Department of Biomedical Engineering, Technion–Israel Institute of Technology, Haifa, Israel
| | - Keith A. Lidke
- Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA
| | - Rainer Heintzmann
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller-University Jena, Jena, Germany
- Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745, Jena, Germany
| | - Yoav Shechtman
- Department of Biomedical Engineering, Technion–Israel Institute of Technology, Haifa, Israel
- Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Yiming Li
- Department of Biomedical Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Southern University of Science and Technology, Shenzhen, China
| | - Jonas Ries
- European Molecular Biology Laboratory, Cell Biology and Biophysics, Heidelberg, Germany
- Max Perutz Labs, Vienna Biocenter Campus (VBC), Dr.-Bohr-Gasse 9, 1030, Vienna, Austria
- University of Vienna, Center for Molecular Biology, Department of Structural and Computational Biology, Dr.-Bohr-Gasse 9, 1030, Vienna, Austria
- University of Vienna, Faculty of Physics, Boltzmanngasse 5, 1090 Vienna, Austria
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5
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Deschamps J, Kieser C, Hoess P, Deguchi T, Ries J. MicroFPGA: An affordable FPGA platform for microscope control. HARDWAREX 2023; 13:e00407. [PMID: 36875260 PMCID: PMC9982678 DOI: 10.1016/j.ohx.2023.e00407] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Modern microscopy relies increasingly on microscope automation to improve throughput, ensure reproducibility or observe rare events. Automation requires computer control of the important elements of the microscope. Furthermore, optical elements that are usually fixed or manually movable can be placed on electronically-controllable elements. In most cases, a central electronics board is necessary to generate the control signals they require and to communicate with the computer. For such tasks, Arduino microcontrollers are widely used due to their low cost and programming entry barrier. However, they are limiting in their performance for applications that require high-speed or multiple parallel processes. Field programmable gate arrays (FPGA) are the perfect technology for high-speed microscope control, as they are capable of processing signals in parallel and with high temporal precision. While plummeting prices made the technology available to consumers, a major hurdle remaining is the complex languages used to configure them. In this work, we used an affordable FPGA, delivered with an open-source and friendly-to-use programming language, to create a versatile microscope control platform called MicroFPGA. It is capable of synchronously triggering cameras and multiple lasers following complex patterns, as well as generating various signals used to control microscope elements such as filter wheels, servomotor stages, flip-mirrors, laser power or acousto-optic modulators. MicroFPGA is open-source and we provide online Micro-Manager, Java, Python and LabVIEW libraries, together with blueprints and tutorials.
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Key Words
- (s) CMOS, (scientific) complementary metal–oxide–semiconductor
- ACB, analog conversion board
- AOM, acousto-optic modulator
- AOTF, acousto-optic tunable filter
- AOTF-CB, AOTF conversion board
- Automation
- BOM, bill of materials
- EMCCD, electron multiplying charge-coupled device
- Electronics
- FPGA
- FPGA, field-programmable gate array
- GND, ground
- HDL, hardware description language
- I/O, input/output
- Microscopy
- PWM, pulse-width modulation
- SCB, signal conversion board
- SDB, servo distribution board
- Synchronization
- TTL, transistor-transistor logic
- Triggering
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Affiliation(s)
- Joran Deschamps
- Computational Biology Center, Fondazione Human Technopole, Milan, Italy
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Christian Kieser
- Electronics Workshop, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Philipp Hoess
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Takahiro Deguchi
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Jonas Ries
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Heidelberg, Germany
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6
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Mund M, Tschanz A, Wu YL, Frey F, Mehl JL, Kaksonen M, Avinoam O, Schwarz US, Ries J. Clathrin coats partially preassemble and subsequently bend during endocytosis. J Cell Biol 2023; 222:213855. [PMID: 36734980 PMCID: PMC9929656 DOI: 10.1083/jcb.202206038] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 11/29/2022] [Accepted: 12/27/2022] [Indexed: 02/04/2023] Open
Abstract
Eukaryotic cells use clathrin-mediated endocytosis to take up a large range of extracellular cargo. During endocytosis, a clathrin coat forms on the plasma membrane, but it remains controversial when and how it is remodeled into a spherical vesicle. Here, we use 3D superresolution microscopy to determine the precise geometry of the clathrin coat at large numbers of endocytic sites. Through pseudo-temporal sorting, we determine the average trajectory of clathrin remodeling during endocytosis. We find that clathrin coats assemble first on flat membranes to 50% of the coat area before they become rapidly and continuously bent, and this mechanism is confirmed in three cell lines. We introduce the cooperative curvature model, which is based on positive feedback for curvature generation. It accurately describes the measured shapes and dynamics of the clathrin coat and could represent a general mechanism for clathrin coat remodeling on the plasma membrane.
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Affiliation(s)
- Markus Mund
- https://ror.org/03mstc592Cell Biology and Biophysics, European Molecular Biology Laboratory, Heidelberg, Germany,https://ror.org/01swzsf04Department of Biochemistry, University of Geneva, Geneva, Switzerland
| | - Aline Tschanz
- https://ror.org/03mstc592Cell Biology and Biophysics, European Molecular Biology Laboratory, Heidelberg, Germany,Candidate for Joint PhD Programme of EMBL and University of Heidelberg, Heidelberg, Germany
| | - Yu-Le Wu
- https://ror.org/03mstc592Cell Biology and Biophysics, European Molecular Biology Laboratory, Heidelberg, Germany,Candidate for Joint PhD Programme of EMBL and University of Heidelberg, Heidelberg, Germany
| | - Felix Frey
- https://ror.org/02e2c7k09Kavli Institute of Nanoscience, Department of Bionanoscience, Delft University of Technology, Delft, Netherlands
| | - Johanna L. Mehl
- https://ror.org/03mstc592Cell Biology and Biophysics, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Marko Kaksonen
- https://ror.org/01swzsf04Department of Biochemistry, University of Geneva, Geneva, Switzerland,NCCR Chemical Biology, University of Geneva, Geneva, Switzerland
| | - Ori Avinoam
- https://ror.org/03mstc592Cell Biology and Biophysics, European Molecular Biology Laboratory, Heidelberg, Germany,https://ror.org/0316ej306Department of Biomolecular Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Ulrich S. Schwarz
- https://ror.org/04rcqnp59Institute for Theoretical Physics and Bioquant, Heidelberg University, Heidelberg, Germany,Bioquant, Heidelberg University, Heidelberg, Germany
| | - Jonas Ries
- https://ror.org/03mstc592Cell Biology and Biophysics, European Molecular Biology Laboratory, Heidelberg, Germany,Correspondence to Jonas Ries:
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7
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Cieslinski K, Wu YL, Nechyporenko L, Hörner SJ, Conti D, Skruzny M, Ries J. Nanoscale structural organization and stoichiometry of the budding yeast kinetochore. J Cell Biol 2023; 222:213833. [PMID: 36705601 PMCID: PMC9929930 DOI: 10.1083/jcb.202209094] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 12/16/2022] [Accepted: 12/27/2022] [Indexed: 01/28/2023] Open
Abstract
Proper chromosome segregation is crucial for cell division. In eukaryotes, this is achieved by the kinetochore, an evolutionarily conserved multiprotein complex that physically links the DNA to spindle microtubules and takes an active role in monitoring and correcting erroneous spindle-chromosome attachments. Our mechanistic understanding of these functions and how they ensure an error-free outcome of mitosis is still limited, partly because we lack a complete understanding of the kinetochore structure in the cell. In this study, we use single-molecule localization microscopy to visualize individual kinetochore complexes in situ in budding yeast. For major kinetochore proteins, we measured their abundance and position within the metaphase kinetochore. Based on this comprehensive dataset, we propose a quantitative model of the budding yeast kinetochore. While confirming many aspects of previous reports based on bulk imaging, our results present a unifying nanoscale model of the kinetochore in budding yeast.
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Affiliation(s)
- Konstanty Cieslinski
- https://ror.org/03mstc592Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Heidelberg, Germany,Translational Radiation Oncology Unit, Deutsches Krebsforschungszentrum, Heidelberg, Germany
| | - Yu-Le Wu
- https://ror.org/03mstc592Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Heidelberg, Germany,Faculty of Biosciences, Collaboration for Joint PhD Degree Between European Molecular Biology Laboratory and Heidelberg University, Heidelberg, Germany
| | - Lisa Nechyporenko
- https://ror.org/03mstc592Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Heidelberg, Germany,Institute of Pharmacy and Molecular Biotechnology, Heidelberg University, Heidelberg, Germany
| | - Sarah Janice Hörner
- https://ror.org/03mstc592Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Heidelberg, Germany,https://ror.org/04p61dj41Institute of Molecular and Cell Biology, Mannheim University of Applied Sciences, Mannheim, Germany,Interdisciplinary Center for Neuroscience, Heidelberg University, Heidelberg, Germany
| | - Duccio Conti
- https://ror.org/03vpj4s62Department of Mechanistic Cell Biology, Max Planck Institute of Molecular Physiology, Dortmund, Germany
| | - Michal Skruzny
- https://ror.org/03mstc592Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Jonas Ries
- https://ror.org/03mstc592Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Heidelberg, Germany
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8
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Wu YL, Hoess P, Tschanz A, Matti U, Mund M, Ries J. Maximum-likelihood model fitting for quantitative analysis of SMLM data. Nat Methods 2023; 20:139-148. [PMID: 36522500 PMCID: PMC9834062 DOI: 10.1038/s41592-022-01676-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 10/14/2022] [Indexed: 12/23/2022]
Abstract
Quantitative data analysis is important for any single-molecule localization microscopy (SMLM) workflow to extract biological insights from the coordinates of the single fluorophores. However, current approaches are restricted to simple geometries or require identical structures. Here, we present LocMoFit (Localization Model Fit), an open-source framework to fit an arbitrary model to localization coordinates. It extracts meaningful parameters from individual structures and can select the most suitable model. In addition to analyzing complex, heterogeneous and dynamic structures for in situ structural biology, we demonstrate how LocMoFit can assemble multi-protein distribution maps of six nuclear pore components, calculate single-particle averages without any assumption about geometry or symmetry, and perform a time-resolved reconstruction of the highly dynamic endocytic process from static snapshots. We provide extensive simulation and visualization routines to validate the robustness of LocMoFit and tutorials to enable any user to increase the information content they can extract from their SMLM data.
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Affiliation(s)
- Yu-Le Wu
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
- Collaboration for joint PhD degree between EMBL and Heidelberg University, Faculty of Biosciences, Heidelberg, Germany
| | - Philipp Hoess
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - Aline Tschanz
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
- Collaboration for joint PhD degree between EMBL and Heidelberg University, Faculty of Biosciences, Heidelberg, Germany
| | - Ulf Matti
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - Markus Mund
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
- Department of Biochemistry, University of Geneva, Geneva, Switzerland
| | - Jonas Ries
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
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9
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Čavka I, Power RM, Walsh D, Zimmermann T, Köhler S. Super-Resolution Microscopy of the Synaptonemal Complex within the Caenorhabditis elegans Germline. J Vis Exp 2022:10.3791/64363. [PMID: 36190293 PMCID: PMC7614930 DOI: 10.3791/64363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/12/2023] Open
Abstract
During meiosis, homologous chromosomes must recognize and adhere to one another to allow for their correct segregation. One of the key events that secures the interaction of homologous chromosomes is the assembly of the synaptonemal complex (SC) in meiotic prophase I. Even though there is little sequence homology between protein components within the SC among different species, the general structure of the SC has been highly conserved during evolution. In electron micrographs, the SC appears as a tripartite, ladder-like structure composed of lateral elements or axes, transverse filaments, and a central element. However, precisely identifying the localization of individual components within the complex by electron microscopy to determine the molecular structure of the SC remains challenging. By contrast, fluorescence microscopy allows for the identification of individual protein components within the complex. However, since the SC is only ~100 nm wide, its substructure cannot be resolved by diffraction-limited conventional fluorescence microscopy. Thus, determining the molecular architecture of the SC requires super-resolution light microscopy techniques such as structured illumination microscopy (SIM), stimulated-emission depletion (STED) microscopy, or single-molecule localization microscopy (SMLM). To maintain the structure and interactions of individual components within the SC, it is important to observe the complex in an environment that is close to its native environment in the germ cells. Therefore, we demonstrate an immunohistochemistry and imaging protocol that enables the study of the substructure of the SC in intact, extruded Caenorhabditis elegans germline tissue with SMLM and STED microscopy. Directly fixing the tissue to the coverslip reduces the movement of the samples during imaging and minimizes aberrations in the sample to achieve the high resolution necessary to visualize the substructure of the SC in its biological context.
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Affiliation(s)
- Ivana Čavka
- Cell Biology and Biophysics, European Molecular Biology Laboratory; Collaboration for joint PhD degree between EMBL and Heidelberg University, Faculty of Biosciences
| | - Rory M Power
- EMBL Imaging Centre, European Molecular Biology Laboratory
| | - Dietrich Walsh
- EMBL Imaging Centre, European Molecular Biology Laboratory
| | - Timo Zimmermann
- Cell Biology and Biophysics, European Molecular Biology Laboratory; EMBL Imaging Centre, European Molecular Biology Laboratory;
| | - Simone Köhler
- Cell Biology and Biophysics, European Molecular Biology Laboratory;
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10
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Luo Q, Zhang J, Huang M, Lin G, Tanaka M, Lepler S, Guan J, Siemann D, Tang X. Automatic Multi-functional Integration Program (AMFIP) towards all-optical mechano-electrophysiology interrogation. PLoS One 2022; 17:e0266098. [PMID: 35901062 PMCID: PMC9333221 DOI: 10.1371/journal.pone.0266098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 03/14/2022] [Indexed: 11/25/2022] Open
Abstract
Automatic operations of multi-functional and time-lapse live-cell imaging are necessary for the biomedical science community to study active, multi-faceted, and long-term biological phenomena. To achieve automatic control, most existing solutions often require the purchase of extra software programs and hardware that rely on the manufacturers’ own specifications. However, these software programs are usually non-user-programmable and unaffordable for many laboratories. To address this unmet need, we have developed a novel open-source software program, titled Automatic Multi-functional Integration Program (AMFIP), as a new Java-based and hardware-independent system that provides proven advantages over existing alternatives to the scientific community. Without extra hardware, AMFIP enables the functional synchronization of the μManager software platform, the Nikon NIS-Elements platform, and other 3rd party software to achieve automatic operations of most commercially available microscopy systems, including but not limited to those from Nikon. AMFIP provides a user-friendly and programmable graphical user interface (GUI), opening the door to expanding the customizability for myriad hardware and software systems according to user-specific experimental requirements and environments. To validate the intended purposes of developing AMFIP, we applied it to elucidate the question whether single cells, prior to their full spreading, can sense and respond to a soft solid substrate, and if so, how does the interaction depend on the cell spreading time and the stiffness of the substrate. Using a CRISPR/Cas9-engineered human epithelial Beas2B (B2B) cell line that expresses mNeonGreen2-tagged mechanosensitive Yes-associated protein (YAP), we show that single B2B cells develop distinct substrate-stiffness-dependent YAP expressions within 10 hours at most on the substrate, suggesting that cells are able to sense, distinguish, and respond to mechanical cues prior to the establishment of full cell spreading. In summary, AMFIP provides a reliable, open-source, and cost-free solution that has the validated long-term utility to satisfy the need of automatic imaging operations in the scientific community.
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Affiliation(s)
- Qin Luo
- Department of Electrical and Computer Engineering, Herbert Wertheim College of Engineering, University of Florida, Gainesville, Florida, United States of America
| | - Justin Zhang
- Department of Electrical and Computer Engineering, University of California, Santa Barbara, California, United States of America
| | - Miao Huang
- Department of Mechanical and Aerospace Engineering, Herbert Wertheim College of Engineering, UF, Gainesville, Florida, United States of America
| | - Gaoming Lin
- Department of Electrical and Computer Engineering, Herbert Wertheim College of Engineering, University of Florida, Gainesville, Florida, United States of America
| | - Mai Tanaka
- Department of Radiation Oncology, College of Medicine, University of Florida, Gainesville, Florida, United States of America
- UF Health Cancer Center, University of Florida, Gainesville, Florida, United States of America
| | - Sharon Lepler
- Department of Radiation Oncology, College of Medicine, University of Florida, Gainesville, Florida, United States of America
- UF Health Cancer Center, University of Florida, Gainesville, Florida, United States of America
| | - Juan Guan
- UF Health Cancer Center, University of Florida, Gainesville, Florida, United States of America
- Department of Physics, College of Liberal Arts and Sciences, University of Florida, Gainesville, Florida, United States of America
- Department of Anatomy and Cell Biology, College of Medicine, University of Florida, Gainesville, Florida, United States of America
| | - Dietmar Siemann
- Department of Radiation Oncology, College of Medicine, University of Florida, Gainesville, Florida, United States of America
- UF Health Cancer Center, University of Florida, Gainesville, Florida, United States of America
| | - Xin Tang
- Department of Mechanical and Aerospace Engineering, Herbert Wertheim College of Engineering, UF, Gainesville, Florida, United States of America
- UF Health Cancer Center, University of Florida, Gainesville, Florida, United States of America
- * E-mail:
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11
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Diekmann R, Deschamps J, Li Y, Deguchi T, Tschanz A, Kahnwald M, Matti U, Ries J. Photon-free (s)CMOS camera characterization for artifact reduction in high- and super-resolution microscopy. Nat Commun 2022; 13:3362. [PMID: 35690614 PMCID: PMC9188588 DOI: 10.1038/s41467-022-30907-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 05/04/2022] [Indexed: 11/09/2022] Open
Abstract
Modern implementations of widefield fluorescence microscopy often rely on sCMOS cameras, but this camera architecture inherently features pixel-to-pixel variations. Such variations lead to image artifacts and render quantitative image interpretation difficult. Although a variety of algorithmic corrections exists, they require a thorough characterization of the camera, which typically is not easy to access or perform. Here, we developed a fully automated pipeline for camera characterization based solely on thermally generated signal, and implemented it in the popular open-source software Micro-Manager and ImageJ/Fiji. Besides supplying the conventional camera maps of noise, offset and gain, our pipeline also gives access to dark current and thermal noise as functions of the exposure time. This allowed us to avoid structural bias in single-molecule localization microscopy (SMLM), which without correction is substantial even for scientific-grade, cooled cameras. In addition, our approach enables high-quality 3D super-resolution as well as live-cell time-lapse microscopy with cheap, industry-grade cameras. As our approach for camera characterization does not require any user interventions or additional hardware implementations, numerous correction algorithms that rely on camera characterization become easily applicable.
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Affiliation(s)
- Robin Diekmann
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.,LaVision Biotec GmbH, Bielefeld, Germany
| | - Joran Deschamps
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.,Fondazione Human Technopole, Milan, Italy
| | - Yiming Li
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.,Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Takahiro Deguchi
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - Aline Tschanz
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.,Collaboration for Joint PhD Degree Between EMBL and Heidelberg University, Faculty of Biosciences, Heidelberg, Germany
| | - Maurice Kahnwald
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.,Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
| | - Ulf Matti
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.,Abberior Instruments GmbH, Göttingen, Germany
| | - Jonas Ries
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
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12
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Li Y, Shi W, Liu S, Cavka I, Wu YL, Matti U, Wu D, Koehler S, Ries J. Global fitting for high-accuracy multi-channel single-molecule localization. Nat Commun 2022; 13:3133. [PMID: 35668089 PMCID: PMC9170706 DOI: 10.1038/s41467-022-30719-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 05/16/2022] [Indexed: 11/09/2022] Open
Abstract
Multi-channel detection in single-molecule localization microscopy greatly increases information content for various biological applications. Here, we present globLoc, a graphics processing unit based global fitting algorithm with flexible PSF modeling and parameter sharing, to extract maximum information from multi-channel single molecule data. As signals in multi-channel data are highly correlated, globLoc links parameters such as 3D coordinates or photon counts across channels, improving localization precision and robustness. We show, both in simulations and experiments, that global fitting can substantially improve the 3D localization precision for biplane and 4Pi single-molecule localization microscopy and color assignment for ratiometric multicolor imaging.
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Affiliation(s)
- Yiming Li
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, 518055, China. .,European Molecular Biology Laboratory, Cell Biology and Biophysics, 69117, Heidelberg, Germany.
| | - Wei Shi
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Sheng Liu
- European Molecular Biology Laboratory, Cell Biology and Biophysics, 69117, Heidelberg, Germany
| | - Ivana Cavka
- European Molecular Biology Laboratory, Cell Biology and Biophysics, 69117, Heidelberg, Germany.,Collaboration for joint PhD degree between EMBL and Heidelberg University, Faculty of Biosciences, Heidelberg, Germany
| | - Yu-Le Wu
- European Molecular Biology Laboratory, Cell Biology and Biophysics, 69117, Heidelberg, Germany.,Collaboration for joint PhD degree between EMBL and Heidelberg University, Faculty of Biosciences, Heidelberg, Germany
| | - Ulf Matti
- European Molecular Biology Laboratory, Cell Biology and Biophysics, 69117, Heidelberg, Germany
| | - Decheng Wu
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Simone Koehler
- European Molecular Biology Laboratory, Cell Biology and Biophysics, 69117, Heidelberg, Germany
| | - Jonas Ries
- European Molecular Biology Laboratory, Cell Biology and Biophysics, 69117, Heidelberg, Germany.
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13
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Dasgupta A, Deschamps J, Matti U, Hübner U, Becker J, Strauss S, Jungmann R, Heintzmann R, Ries J. Direct supercritical angle localization microscopy for nanometer 3D superresolution. Nat Commun 2021; 12:1180. [PMID: 33608524 PMCID: PMC7896076 DOI: 10.1038/s41467-021-21333-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Accepted: 01/20/2021] [Indexed: 12/26/2022] Open
Abstract
3D single molecule localization microscopy (SMLM) is an emerging superresolution method for structural cell biology, as it allows probing precise positions of proteins in cellular structures. In supercritical angle localization microscopy (SALM), z-positions of single fluorophores are extracted from the intensity of supercritical angle fluorescence, which strongly depends on their distance to the coverslip. Here, we realize the full potential of SALM and improve its z-resolution by more than four-fold compared to the state-of-the-art by directly splitting supercritical and undercritical emission, using an ultra-high NA objective, and applying fitting routines to extract precise intensities of single emitters. We demonstrate nanometer isotropic localization precision on DNA origami structures, and on clathrin coated vesicles and microtubules in cells, illustrating the potential of SALM for cell biology. Supercritical angle localisation microscopy (SALM) allows the z-positions of single fluorophores to be extracted from the intensity of supercritical angle fluorescence. Here the authors improve the z-resolution of SALM, and report nanometre isotropic localisation precision on DNA origami structures.
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Affiliation(s)
- Anindita Dasgupta
- Cell Biology and Biophysics, European Molecular Biology Laboratory, Heidelberg, Germany.,Institute of Applied Optics and Biophysics, Friedrich-Schiller-University, Jena, Germany.,Leibniz Institute of Photonic Technology, Jena, Germany
| | - Joran Deschamps
- Cell Biology and Biophysics, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Ulf Matti
- Cell Biology and Biophysics, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Uwe Hübner
- Leibniz Institute of Photonic Technology, Jena, Germany
| | - Jan Becker
- Leibniz Institute of Photonic Technology, Jena, Germany
| | - Sebastian Strauss
- Faculty of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany.,Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Ralf Jungmann
- Faculty of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany.,Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Rainer Heintzmann
- Leibniz Institute of Photonic Technology, Jena, Germany.,Institute of Physical Chemistry, Friedrich-Schiller-University, Jena, Germany.,Abbe Center of Photonics, Friedrich-Schiller-University, Jena, Germany
| | - Jonas Ries
- Cell Biology and Biophysics, European Molecular Biology Laboratory, Heidelberg, Germany.
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