An Integrated Platform for High-Throughput Nanoscopy

Diffraction-unlimited single-molecule switching (SMS) nanoscopy techniques like STORM /(F)PALM enable three-dimensional (3D) fluorescence imaging at 20-80 nm resolution and are invaluable to investigate sub-cellular organization. They suffer, however, from low throughput, limiting the output of a da...

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Main Authors Barentine, Andrew E S, Lin, Yu, Courvan, Edward M, Kidd, Phylicia, Liu, Miao, Balduf, Leonhard, Phan, Timy, Rivera-Molina, Felix, Grace, Michael R, Marin, Zach, Lessard, Mark, Rios-Chen, Juliana, Wang, Siyuan, Neugebauer, Karla M, Bewersdorf, Joerg, Baddeley, David
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Published Cold Spring Harbor Cold Spring Harbor Laboratory Press 20.04.2022
Cold Spring Harbor Laboratory
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Abstract Diffraction-unlimited single-molecule switching (SMS) nanoscopy techniques like STORM /(F)PALM enable three-dimensional (3D) fluorescence imaging at 20-80 nm resolution and are invaluable to investigate sub-cellular organization. They suffer, however, from low throughput, limiting the output of a day's worth of imaging to typically a few tens of mammalian cells. Here we develop an SMS imaging platform that combines high-speed 3D single-molecule data acquisition with an automated, fully integrated, high-volume data processing pipeline. We demonstrate 2-color 3D super-resolution imaging of over 10,000 mammalian cell nuclei in about 26 hours, connecting the traditionally low-throughput super-resolution community to the world of omics approaches. Competing Interest Statement ificant financial interest in Bruker Corp. and Hamamatsu Photonics Footnotes * Added new biological application of method.
AbstractList Diffraction-unlimited single-molecule switching (SMS) nanoscopy techniques like STORM /(F)PALM enable three-dimensional (3D) fluorescence imaging at 20-80 nm resolution and are invaluable to investigate sub-cellular organization. They suffer, however, from low throughput, limiting the output of a day's worth of imaging to typically a few tens of mammalian cells. Here we develop an SMS imaging platform that combines high-speed 3D single-molecule data acquisition with an automated, fully integrated, high-volume data processing pipeline. We demonstrate 2-color 3D super-resolution imaging of over 10,000 mammalian cell nuclei in about 26 hours, connecting the traditionally low-throughput super-resolution community to the world of omics approaches. Competing Interest Statement ificant financial interest in Bruker Corp. and Hamamatsu Photonics Footnotes * Added new biological application of method.
Diffraction-unlimited single-molecule techniques like STORM and (F)PALM enable three-dimensional (3D) fluorescence imaging at tens of nanometer resolution and are invaluable to investigate sub-cellular organization. The multitude of camera frames required to reconstruct a super-resolved image limits the typical throughput of these techniques to tens of cells per day, rendering these methods incompatible with large-scale cell biological or clinical application. STORM acquisition rates can be increased by over an order of magnitude, however the data volumes of about 40 TB a day and concomitant analysis burdens exceed the capacity of existing workflows. Here we present an integrated platform which transforms SMLM from a trick-pony technique into a work horse for cell biology. We leverage our developments in microscopy-specific data compression, distributed storage, and distributed analysis to automatically perform real-time localization analysis, which enable SMLM at throughputs of 10,000 cells a day. We implemented these advances in a fully-integrated environment that supports a highly-flexible architecture for distributed analysis, enabling quickly- and graphically-reconfigurable analyses to be automatically initiated from the microscope during acquisition, remotely executed, and even feedback and queue new acquisition tasks on the microscope. We demonstrate the utility of this framework by imaging hundreds of cells per well in multi-well sample formats. Our platform, the PYthon-Microscopy Environment (PYME), is easily configurable for hardware control on custom microscopes, and includes a plugin framework so users can readily extend all components of their imaging, visualization, and analysis pipeline. PYME is cross-platform, open source, and efficiently puts high-caliber visualization and analysis tools into the hands of both microscope developers and users.
Author Bewersdorf, Joerg
Barentine, Andrew E S
Marin, Zach
Neugebauer, Karla M
Grace, Michael R
Phan, Timy
Lin, Yu
Rios-Chen, Juliana
Kidd, Phylicia
Balduf, Leonhard
Lessard, Mark
Wang, Siyuan
Baddeley, David
Liu, Miao
Courvan, Edward M
Rivera-Molina, Felix
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Cites_doi 10.1038/nmeth.2488
10.1371/journal.pone.0128135
10.1038/s41467-021-25812-z
10.1016/j.cell.2018.06.032
10.1016/j.molcel.2010.09.024
10.1101/465492
10.1101/164624
10.1038/nmeth.4486
10.1038/nmeth.4605
10.1146/annurev-biochem-060815-014801
10.1117/12.2545033
10.1038/nmeth.1211
10.1038/nmeth.1449
10.1073/pnas.1313368111
10.1038/s41592-021-01165-9
10.1126/science.1153529
10.1371/journal.pone.0069004
10.1016/j.molcel.2014.10.004
10.1364/0E.26.030882
10.1109/JRPR0C.1952.273898
10.1083/jcb.200405160
10.1038/s41592-020-0918-5
10.1016/S0006-3495(02)75618-X
10.1364/0E.25.011701
10.1038/nature16496
10.1073/pnas.1201882109
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Competing Interest Statement: ificant financial interest in Bruker Corp. and Hamamatsu Photonics
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References Shim (606954v3.9) 2012; 109
Smith, Joseph, Rieger, Lidke (606954v3.17) 2010; 7
Baddeley, Bewersdorf (606954v3.1) 2018; 87
Hartwich (606954v3.25) 2018
Culley (606954v3.22) 2018; 15
606954v3.10
Staněk, Neugebauer (606954v3.18) 2004; 166
Pedregosa (606954v3.28) 2011; 12
Huang (606954v3.6) 2013; 10
Marin (606954v3.11) 2021; 18
Olivier, Keller, Gönczy, Manley (606954v3.13) 2013; 8
Boettiger (606954v3.2) 2016; 529
Boulon, Westman, Hutten, Boisvert, Lamond (606954v3.20) 2010; 40
Juette (606954v3.12) 2008; 5
Mund (606954v3.3) 2018; 174
Lin (606954v3.7) 2015; 10
Lin, Clowsley, Jayasinghe, Baddeley, Soeller (606954v3.16) 2017; 25
Marsh (606954v3.23) 2021; 12
Huang, Wang, Bates, Zhuang (606954v3.14) 2008; 319
Diekmann (606954v3.8) 2020; 17
Thompson, Larson, Webb (606954v3.15) 2002; 82
Machyna (606954v3.19) 2014; 56
Štefko, Ottino, Douglass, Manley (606954v3.24) 2018; 26
Beghin (606954v3.4) 2017; 14
Balazs, Deschamps, Albert, Ries, Hufnagel (606954v3.27) 2017
Holden (606954v3.5) 2014; 111
Mazidi, Ding, Nehorai, Lew (606954v3.21) 2020
A. Huffman (606954v3.26) 1952; 40
References_xml – volume: 10
  start-page: 653
  year: 2013
  end-page: 658
  ident: 606954v3.6
  article-title: Video-rate nanoscopy using sCMOS camera-specific single-molecule localization algorithms
  publication-title: Nat. Methods
  doi: 10.1038/nmeth.2488
– volume: 10
  start-page: e0128135
  year: 2015
  ident: 606954v3.7
  article-title: Quantifying and Optimizing Single-Molecule Switching Nanoscopy at High Speeds
  publication-title: Plos One
  doi: 10.1371/journal.pone.0128135
– volume: 12
  start-page: 1
  year: 2021
  end-page: 13
  ident: 606954v3.23
  article-title: Sub-diffraction error mapping for localisation microscopy images
  publication-title: Nat. Commun
  doi: 10.1038/s41467-021-25812-z
– volume: 174
  start-page: 884
  year: 2018
  end-page: 896
  ident: 606954v3.3
  article-title: Systematic Nanoscale Analysis of Endocytosis Links Efficient Vesicle Formation to Patterned Actin Nucleation
  publication-title: Cell
  doi: 10.1016/j.cell.2018.06.032
– volume: 40
  start-page: 216
  year: 2010
  end-page: 227
  ident: 606954v3.20
  article-title: The Nucleolus under Stress
  publication-title: Mol. Cell
  doi: 10.1016/j.molcel.2010.09.024
– start-page: 465492
  year: 2018
  ident: 606954v3.25
  article-title: A stable, high refractive index, switching buffer for super-resolution imaging
  publication-title: bioRxiv
  doi: 10.1101/465492
– start-page: 164624
  year: 2017
  ident: 606954v3.27
  article-title: A real-time compression library for microscopy images
  publication-title: bioRxiv
  doi: 10.1101/164624
– volume: 14
  start-page: 1184
  year: 2017
  end-page: 1190
  ident: 606954v3.4
  article-title: Localization-based super-resolution imaging meets high-content screening
  publication-title: Nat. Methods
  doi: 10.1038/nmeth.4486
– volume: 15
  start-page: 263
  year: 2018
  end-page: 266
  ident: 606954v3.22
  article-title: Quantitative mapping and minimization of super-resolution optical imaging artifacts
  publication-title: Nat. Methods
  doi: 10.1038/nmeth.4605
– volume: 87
  start-page: 965
  year: 2018
  end-page: 989
  ident: 606954v3.1
  article-title: Biological Insight from Super-Resolution Microscopy: What We Can Learn from Localization-Based Images
  publication-title: Annual Review of Biochemistry
  doi: 10.1146/annurev-biochem-060815-014801
– start-page: 39
  year: 2020
  ident: 606954v3.21
  article-title: Measuring localization confidence for quantifying accuracy and heterogeneity in single-molecule super-resolution microscopy
  doi: 10.1117/12.2545033
– volume: 5
  start-page: 527
  year: 2008
  end-page: 529
  ident: 606954v3.12
  article-title: Three-dimensional sub-100 nm resolution fluorescence microscopy of thick samples
  publication-title: Nat. Methods
  doi: 10.1038/nmeth.1211
– volume: 7
  start-page: 373
  year: 2010
  end-page: 375
  ident: 606954v3.17
  article-title: Fast, single-molecule localization that achieves theoretically minimum uncertainty
  publication-title: Nat. Methods
  doi: 10.1038/nmeth.1449
– volume: 111
  start-page: 4566
  year: 2014
  end-page: 71
  ident: 606954v3.5
  article-title: High throughput 3D super-resolution microscopy reveals Caulobacter crescentus in vivo Z-ring organization
  publication-title: Proceedings of the National Academy of Sciences of the United States of America
  doi: 10.1073/pnas.1313368111
– volume: 18
  start-page: 582
  year: 2021
  end-page: 584
  ident: 606954v3.11
  article-title: PYMEVisualize: an open-source tool for exploring 3D super-resolution data
  publication-title: Nat. Methods
  doi: 10.1038/s41592-021-01165-9
– volume: 319
  start-page: 810
  year: 2008
  end-page: 813
  ident: 606954v3.14
  article-title: Three-Dimensional Super-Resolution Imaging by Stochastic Optical Reconstruction Microscopy
  publication-title: Science
  doi: 10.1126/science.1153529
– volume: 8
  start-page: 1
  year: 2013
  end-page: 9
  ident: 606954v3.13
  article-title: Resolution Doubling in 3D-STORM Imaging through Improved Buffers
  publication-title: PLOS ONE
  doi: 10.1371/journal.pone.0069004
– ident: 606954v3.10
  publication-title: PYthon Microscopy Environment
– volume: 56
  start-page: 389
  year: 2014
  end-page: 399
  ident: 606954v3.19
  article-title: The coilin interactome identifies hundreds of small noncoding RNAs that traffic through cajal bodies
  publication-title: Mol. Cell
  doi: 10.1016/j.molcel.2014.10.004
– volume: 26
  start-page: 30882
  year: 2018
  ident: 606954v3.24
  article-title: Autonomous illumination control for localization microscopy
  publication-title: Opt. Express
  doi: 10.1364/0E.26.030882
– volume: 40
  start-page: 1098
  year: 1952
  end-page: 1101
  ident: 606954v3.26
  article-title: A Method for the Construction of Minimum-Redundancy Codes
  publication-title: Proceedings of the IRE
  doi: 10.1109/JRPR0C.1952.273898
– volume: 166
  start-page: 1015
  year: 2004
  end-page: 1025
  ident: 606954v3.18
  article-title: Detection of snRNP assembly intermediates in Cajal bodies by fluorescence resonance energy transfer
  publication-title: J. Cell Biol
  doi: 10.1083/jcb.200405160
– volume: 17
  start-page: 909
  year: 2020
  end-page: 912
  ident: 606954v3.8
  article-title: Optimizing imaging speed and excitation intensity for single-molecule localization microscopy
  publication-title: Nat. Methods
  doi: 10.1038/s41592-020-0918-5
– volume: 82
  start-page: 2775
  year: 2002
  end-page: 2783
  ident: 606954v3.15
  article-title: Precise nanometer localization analysis for individual fluorescent probes
  publication-title: Biophysical Journal
  doi: 10.1016/S0006-3495(02)75618-X
– volume: 25
  start-page: 11701
  year: 2017
  ident: 606954v3.16
  article-title: Algorithmic corrections for localization microscopy with sCMOS cameras - characterisation of a computationally efficient localization approach
  publication-title: Optics Express
  doi: 10.1364/0E.25.011701
– volume: 12
  start-page: 2825
  year: 2011
  end-page: 2830
  ident: 606954v3.28
  article-title: Scikit-learn: Machine Learning in Python
  publication-title: Journal of Machine Learning Research
– volume: 529
  start-page: 418
  year: 2016
  end-page: 422
  ident: 606954v3.2
  article-title: Super-resolution imaging reveals distinct chromatin folding for different epigenetic states
  publication-title: Nature
  doi: 10.1038/nature16496
– volume: 109
  start-page: 13978
  year: 2012
  end-page: 13983
  ident: 606954v3.9
  article-title: Super-resolution fluorescence imaging of organelles in live cells with photoswitchable membrane probes
  publication-title: Proceedings of the National Academy of Sciences
  doi: 10.1073/pnas.1201882109
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Snippet Diffraction-unlimited single-molecule switching (SMS) nanoscopy techniques like STORM /(F)PALM enable three-dimensional (3D) fluorescence imaging at 20-80 nm...
Diffraction-unlimited single-molecule techniques like STORM and (F)PALM enable three-dimensional (3D) fluorescence imaging at tens of nanometer resolution and...
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Data processing
Mammalian cells
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