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...
Saved in:
Published in | bioRxiv |
---|---|
Main Authors | , , , , , , , , , , , , , , , |
Format | Paper |
Language | English |
Published |
Cold Spring Harbor
Cold Spring Harbor Laboratory Press
20.04.2022
Cold Spring Harbor Laboratory |
Edition | 1.3 |
Subjects | |
Online Access | Get full text |
Cover
Loading…
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 |
Author_xml | – sequence: 1 givenname: Andrew surname: Barentine middlename: E S fullname: Barentine, Andrew E S – sequence: 2 givenname: Yu surname: Lin fullname: Lin, Yu – sequence: 3 givenname: Edward surname: Courvan middlename: M fullname: Courvan, Edward M – sequence: 4 givenname: Phylicia surname: Kidd fullname: Kidd, Phylicia – sequence: 5 givenname: Miao surname: Liu fullname: Liu, Miao – sequence: 6 givenname: Leonhard surname: Balduf fullname: Balduf, Leonhard – sequence: 7 givenname: Timy surname: Phan fullname: Phan, Timy – sequence: 8 givenname: Felix surname: Rivera-Molina fullname: Rivera-Molina, Felix – sequence: 9 givenname: Michael surname: Grace middlename: R fullname: Grace, Michael R – sequence: 10 givenname: Zach surname: Marin fullname: Marin, Zach – sequence: 11 givenname: Mark surname: Lessard fullname: Lessard, Mark – sequence: 12 givenname: Juliana surname: Rios-Chen fullname: Rios-Chen, Juliana – sequence: 13 givenname: Siyuan surname: Wang fullname: Wang, Siyuan – sequence: 14 givenname: Karla surname: Neugebauer middlename: M fullname: Neugebauer, Karla M – sequence: 15 givenname: Joerg surname: Bewersdorf fullname: Bewersdorf, Joerg – sequence: 16 givenname: David surname: Baddeley fullname: Baddeley, David |
BookMark | eNpNT0tLw0AYXKSCtdZ_IAQ8R_eVfRxLUVso6iH38G2ym6S0u3GTiP33BuLBy8zAwDxu0cIHbxG6J_iJEEyeBRY641doSYWmqaI4W_zTN2jd90eMMdWCMMmXiG98sveDrSMMtko-TzC4EM_JBMmurZs0b2IY66Ybh-QdfOjL0F3u0LWDU2_Xf7xC-etLvt2lh4-3_XZzSI2iPHWaawOOlIqXqoSKMm4c04pkVFLiuCqtkU4yAcLJCk8SV6Cl4BYAC2fYCj3MsaYN8af9LrrYniFeivnk5D_OfhfD12j7oTiGMfppUUEpVlMNYRn7BUnOUOU |
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 |
ContentType | Paper |
Copyright | 2022. Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the associated terms available at https://www.biorxiv.org/content/10.1101/606954v3 2022, Posted by Cold Spring Harbor Laboratory |
Copyright_xml | – notice: 2022. Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the associated terms available at https://www.biorxiv.org/content/10.1101/606954v3 – notice: 2022, Posted by Cold Spring Harbor Laboratory |
DBID | 8FE 8FH ABUWG AFKRA AZQEC BBNVY BENPR BHPHI CCPQU DWQXO GNUQQ HCIFZ LK8 M7P PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PRINS FX. |
DOI | 10.1101/606954 |
DatabaseName | ProQuest SciTech Collection ProQuest Natural Science Collection ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials - QC Biological Science Collection ProQuest Central Natural Science Collection ProQuest One Community College ProQuest Central ProQuest Central Student SciTech Premium Collection Biological Sciences Biological Science Database ProQuest Central Premium ProQuest One Academic (New) ProQuest Publicly Available Content ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China bioRxiv |
DatabaseTitle | Publicly Available Content Database ProQuest Central Student ProQuest One Academic Middle East (New) ProQuest Biological Science Collection ProQuest Central Essentials ProQuest One Academic Eastern Edition ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Natural Science Collection Biological Science Database ProQuest SciTech Collection ProQuest Central China ProQuest Central ProQuest One Applied & Life Sciences ProQuest One Academic UKI Edition Natural Science Collection ProQuest Central Korea Biological Science Collection ProQuest Central (New) ProQuest One Academic ProQuest One Academic (New) |
DatabaseTitleList | Publicly Available Content Database |
Database_xml | – sequence: 1 dbid: FX. name: bioRxiv url: https://www.biorxiv.org/ sourceTypes: Open Access Repository – sequence: 2 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Biology |
EISSN | 2692-8205 |
Edition | 1.3 |
ExternalDocumentID | 606954v3 |
Genre | Working Paper/Pre-Print |
GroupedDBID | 8FE 8FH ABUWG AFKRA ALMA_UNASSIGNED_HOLDINGS AZQEC BBNVY BENPR BHPHI CCPQU DWQXO GNUQQ HCIFZ LK8 M7P NQS PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PRINS PROAC RHI FX. |
ID | FETCH-LOGICAL-b824-f949baf1c84c8cad234bf398152721f48ceb7f736a6f7d07f70da9764eaa06fb3 |
IEDL.DBID | BENPR |
ISSN | 2692-8205 |
IngestDate | Tue Jan 07 18:54:41 EST 2025 Fri Jul 25 09:13:06 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | false |
IsScholarly | false |
Language | English |
License | The copyright holder for this pre-print is the author. All rights reserved. The material may not be redistributed, re-used or adapted without the author's permission. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-b824-f949baf1c84c8cad234bf398152721f48ceb7f736a6f7d07f70da9764eaa06fb3 |
Notes | SourceType-Working Papers-1 ObjectType-Working Paper/Pre-Print-1 content type line 50 Competing Interest Statement: ificant financial interest in Bruker Corp. and Hamamatsu Photonics |
ORCID | 0000-0001-5341-9911 0000-0002-0844-2845 0000-0002-0446-9610 0000-0002-8134-1987 0000-0001-5109-0972 0000-0002-4085-7020 0000-0002-7673-9771 0000-0003-0308-5065 0000-0002-3519-7160 0000-0002-1927-2204 |
OpenAccessLink | https://www.proquest.com/docview/2208527135?pq-origsite=%requestingapplication% |
PQID | 2208527135 |
PQPubID | 2050091 |
PageCount | 16 |
ParticipantIDs | biorxiv_primary_606954 proquest_journals_2208527135 |
PublicationCentury | 2000 |
PublicationDate | 20220420 |
PublicationDateYYYYMMDD | 2022-04-20 |
PublicationDate_xml | – month: 04 year: 2022 text: 20220420 day: 20 |
PublicationDecade | 2020 |
PublicationPlace | Cold Spring Harbor |
PublicationPlace_xml | – name: Cold Spring Harbor |
PublicationTitle | bioRxiv |
PublicationYear | 2022 |
Publisher | Cold Spring Harbor Laboratory Press Cold Spring Harbor Laboratory |
Publisher_xml | – name: Cold Spring Harbor Laboratory Press – name: Cold Spring Harbor Laboratory |
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 |
SSID | ssj0002961374 |
Score | 1.6543213 |
SecondaryResourceType | preprint |
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... |
SourceID | biorxiv proquest |
SourceType | Open Access Repository Aggregation Database |
SubjectTerms | Biophysics Data acquisition Data processing Mammalian cells |
SummonAdditionalLinks | – databaseName: bioRxiv dbid: FX. link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwdV1LSwMxEB60RfDmq1itsgev0U12djc5iliqoPRQobclTyjItrRbsf_eZDfqQbyEHJKBSeaVZCYfwI1hIldac-KkyAjqnBIlSkock8Kh1oVu69ZeXovJGz7P83k8KG5iWqVaLNefi4_2HT8kbHvr2yl3Su98vC1y3Ie-lyMMUA3j-e3PnQoT3jmVGCGEfof72DbS_GNxWzcyPoL-VK7s-hj2bH0CBx0O5O4U8L5Onr7_bTDJ9F02IZZMfJOERAwy69B0Vtsm8eZwGUpJdmcwGz_OHiYkwhkQxRkSJ1Ao6ajmqLmWhmWoXCZ4wJVl1CHXVpWuzApZuNKkvpsa6YMFtFKmhVPZAHr1srbnkAibc698xlPM0ORUSZE6I7FUwjpX0CEMIr_VqvuzouoWYgijb_arKKubigWYThag-i7-m3cJhyyk_afotWoEvWa9tVfeGTfqut2BL3rIiE4 priority: 102 providerName: Cold Spring Harbor Laboratory Press |
Title | An Integrated Platform for High-Throughput Nanoscopy |
URI | https://www.proquest.com/docview/2208527135 https://www.biorxiv.org/content/10.1101/606954 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfZ3fS8MwEMcP5xj45q_hdI4--BrXpmmbPInKxhQcQybsreQnDKSdWyfuvzdpM30QfCmFQiBp7nvXa-4-ADcKs0RISZHhLEZEJhESLIuQwZwZImUq67q1l2k6eSPPi2ThE24bf6xyr4m1UKtSuhz5EDuYJHZAubvVB3LUKPd31SM0WtC2Ekztx1f7YTSdvf5kWTCz7qpuxYxTZk0fh4kHDNmtOLTBO3McgI5Yluuv5ecfPa6dzPgY2jO-0usTONDFKXQaSuTuDMh9ETztuzqoYPbOKxdpBvYSuGMaaN6wdlbbKrBiWbpCk905zMej-eMEedgBEhQTZBhhgptIUiKp5ArHRJiYUUedxZEhVGqRmSxOeWoyFdrbUHEbShDNeZgaEXfhsCgLfQEB0wm1pqnsiDFRSSQ4C43iJBNMG5NGPej6-earpqNF3ixED_r76ed-J2_y33W__P_xFRxhVxoQEmt5fTis1lt9bR12JQb-rQygNV7cfgMaM5V0 |
linkProvider | ProQuest |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtZ1JSwMxFMcftaXoza1YrToHPYbOZDJLDiIuLa1dKFKhtyErFKStXdR-KL-jSWdGD4K3XoaBgUCSl__Ly-S9H8CVxDTgQsRIM-ojIgIPcRp5SGNGNREiFJu8tV4_bL2Qp1EwKsBXngtjr1XmmrgRajkV9oy8ji1MElug3O3sDVlqlP27miM0UrPoqPWHCdkWN-1HM7_XGDcbw4cWyqgCiMeYIE0J5Ux7IiYiFkxin3Dt09jiXbGnSSwUj3TkhyzUkXTNqyuZ8dlEMeaGmvum2R0oEd9EMkUo3Tf6g-efQx1MjXfcVH7GITVKg90g4xkZy6-bWIFa7ECZj6fzz_H7H_nf-LTmPpQGbKbmB1BQk0Mop1DK9RGQu4nTzotISGfwypZ2Y-uYh2NvhaBhivaZrZaO0eapzWtZH8NwG6NQgeJkOlEn4FAVxEYJpGnRJzLwOKOuloxEnCqtQ68Klay_ySwtoJGkA1GFWt79JFs4i-R3mk___3wJu61hr5t02_3OGexhm5XgErPoa1Bczlfq3OwVlvwimyEHki3bxDcWrtGI |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwdV1LS8NAEB60RfHmq1itmoPXrclm8tijqKH1UXqo0FvYJwiShjYV--_dTVI9iJdlLzswu_NidmY-gBtFWSSkTInhLCQoo4AIlgTEUM4MShnLum_tdRKP3vBpHs3b1MWqLasU74vl1_tn_Y_vCrat9W2U2w9ubbzNIhy63PSwVGYXum7CmRPnbD78Sa5QZr1Ugi2W0O85G-S2xP-Y3tqfZIfQnfJSL49gRxfHsNcAQm5OAO8Kb7wd4KC86QevXFDp2cVzFRlk1sDqlOvKs3Zx4XpKNqcwyx5n9yPS4hoQkVIkhiET3AQyRZlKrmiIwoQsdQCzNDCYSi0Sk4Qxj02ifLv1FbdRA2rO_diIsAedYlHoM_CYjlKrhcpSDFFFgeDMN4pjIpg2Jg760Gv5zctmeEXeXEQfBlv281ZoVzl1eJ3UYfad_3fuGvanD1n-Mp48X8ABda0APlpNG0CnWq71pXXQlbiqH-Mb3uaONg |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=An+Integrated+Platform+for+High-Throughput+Nanoscopy&rft.jtitle=bioRxiv&rft.au=Barentine%2C+Andrew+E+S&rft.au=Lin%2C+Yu&rft.au=Courvan%2C+Edward+M&rft.au=Kidd%2C+Phylicia&rft.date=2022-04-20&rft.pub=Cold+Spring+Harbor+Laboratory+Press&rft.issn=2692-8205&rft.eissn=2692-8205&rft_id=info:doi/10.1101%2F606954 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2692-8205&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2692-8205&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2692-8205&client=summon |