--- _id: '13267' abstract: - lang: eng text: Three-dimensional (3D) reconstruction of living brain tissue down to an individual synapse level would create opportunities for decoding the dynamics and structure–function relationships of the brain’s complex and dense information processing network; however, this has been hindered by insufficient 3D resolution, inadequate signal-to-noise ratio and prohibitive light burden in optical imaging, whereas electron microscopy is inherently static. Here we solved these challenges by developing an integrated optical/machine-learning technology, LIONESS (live information-optimized nanoscopy enabling saturated segmentation). This leverages optical modifications to stimulated emission depletion microscopy in comprehensively, extracellularly labeled tissue and previous information on sample structure via machine learning to simultaneously achieve isotropic super-resolution, high signal-to-noise ratio and compatibility with living tissue. This allows dense deep-learning-based instance segmentation and 3D reconstruction at a synapse level, incorporating molecular, activity and morphodynamic information. LIONESS opens up avenues for studying the dynamic functional (nano-)architecture of living brain tissue. acknowledged_ssus: - _id: ScienComp - _id: Bio - _id: PreCl - _id: E-Lib - _id: LifeSc - _id: M-Shop acknowledgement: "We thank J. Vorlaufer, N. Agudelo and A. Wartak for microscope maintenance and troubleshooting, C. Kreuzinger and A. Freeman for technical assistance, M. Šuplata for hardware control support and M. Cunha dos Santos for initial exploration of software. We\r\nthank P. Henderson for advice on deep-learning training and M. Sixt, S. Boyd and T. Weiss for discussions and critical reading of the manuscript. L. Lavis (Janelia Research Campus) generously provided the JF585-HaloTag ligand. We acknowledge expert support by IST\r\nAustria’s scientific computing, imaging and optics, preclinical, library and laboratory support facilities and by the Miba machine shop. We gratefully acknowledge funding by the following sources: Austrian Science Fund (F.W.F.) grant no. I3600-B27 (J.G.D.), grant no. DK W1232\r\n(J.G.D. and J.M.M.) and grant no. Z 312-B27, Wittgenstein award (P.J.); the Gesellschaft für Forschungsförderung NÖ grant no. LSC18-022 (J.G.D.); an ISTA Interdisciplinary project grant (J.G.D. and B.B.); the European Union’s Horizon 2020 research and innovation programme,\r\nMarie-Skłodowska Curie grant 665385 (J.M.M. and J.L.); the European Union’s Horizon 2020 research and innovation programme, European Research Council grant no. 715767, MATERIALIZABLE (B.B.); grant no. 715508, REVERSEAUTISM (G.N.); grant no. 695568, SYNNOVATE (S.G.N.G.); and grant no. 692692, GIANTSYN (P.J.); the Simons\r\nFoundation Autism Research Initiative grant no. 529085 (S.G.N.G.); the Wellcome Trust Technology Development grant no. 202932 (S.G.N.G.); the Marie Skłodowska-Curie Actions Individual Fellowship no. 101026635 under the EU Horizon 2020 program (J.F.W.);\r\nthe Human Frontier Science Program postdoctoral fellowship LT000557/2018 (W.J.); and the National Science Foundation grant no. IIS-1835231 (H.P.) and NCS-FO-2124179 (H.P.)." article_processing_charge: Yes article_type: original author: - first_name: Philipp full_name: Velicky, Philipp id: 39BDC62C-F248-11E8-B48F-1D18A9856A87 last_name: Velicky orcid: 0000-0002-2340-7431 - first_name: Eder full_name: Miguel Villalba, Eder id: 3FB91342-F248-11E8-B48F-1D18A9856A87 last_name: Miguel Villalba orcid: 0000-0001-5665-0430 - first_name: Julia M full_name: Michalska, Julia M id: 443DB6DE-F248-11E8-B48F-1D18A9856A87 last_name: Michalska orcid: 0000-0003-3862-1235 - first_name: Julia full_name: Lyudchik, Julia id: 46E28B80-F248-11E8-B48F-1D18A9856A87 last_name: Lyudchik - first_name: Donglai full_name: Wei, Donglai last_name: Wei - first_name: Zudi full_name: Lin, Zudi last_name: Lin - first_name: Jake full_name: Watson, Jake id: 63836096-4690-11EA-BD4E-32803DDC885E last_name: Watson orcid: 0000-0002-8698-3823 - first_name: Jakob full_name: Troidl, Jakob last_name: Troidl - first_name: Johanna full_name: Beyer, Johanna last_name: Beyer - first_name: Yoav full_name: Ben Simon, Yoav id: 43DF3136-F248-11E8-B48F-1D18A9856A87 last_name: Ben Simon - first_name: Christoph M full_name: Sommer, Christoph M id: 4DF26D8C-F248-11E8-B48F-1D18A9856A87 last_name: Sommer orcid: 0000-0003-1216-9105 - first_name: Wiebke full_name: Jahr, Wiebke id: 425C1CE8-F248-11E8-B48F-1D18A9856A87 last_name: Jahr - first_name: Alban full_name: Cenameri, Alban id: 9ac8f577-2357-11eb-997a-e566c5550886 last_name: Cenameri - first_name: Johannes full_name: Broichhagen, Johannes last_name: Broichhagen - first_name: Seth G.N. full_name: Grant, Seth G.N. last_name: Grant - first_name: Peter M full_name: Jonas, Peter M id: 353C1B58-F248-11E8-B48F-1D18A9856A87 last_name: Jonas orcid: 0000-0001-5001-4804 - first_name: Gaia full_name: Novarino, Gaia id: 3E57A680-F248-11E8-B48F-1D18A9856A87 last_name: Novarino orcid: 0000-0002-7673-7178 - first_name: Hanspeter full_name: Pfister, Hanspeter last_name: Pfister - first_name: Bernd full_name: Bickel, Bernd id: 49876194-F248-11E8-B48F-1D18A9856A87 last_name: Bickel orcid: 0000-0001-6511-9385 - first_name: Johann G full_name: Danzl, Johann G id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87 last_name: Danzl orcid: 0000-0001-8559-3973 citation: ama: Velicky P, Miguel Villalba E, Michalska JM, et al. Dense 4D nanoscale reconstruction of living brain tissue. Nature Methods. 2023;20:1256-1265. doi:10.1038/s41592-023-01936-6 apa: Velicky, P., Miguel Villalba, E., Michalska, J. M., Lyudchik, J., Wei, D., Lin, Z., … Danzl, J. G. (2023). Dense 4D nanoscale reconstruction of living brain tissue. Nature Methods. Springer Nature. https://doi.org/10.1038/s41592-023-01936-6 chicago: Velicky, Philipp, Eder Miguel Villalba, Julia M Michalska, Julia Lyudchik, Donglai Wei, Zudi Lin, Jake Watson, et al. “Dense 4D Nanoscale Reconstruction of Living Brain Tissue.” Nature Methods. Springer Nature, 2023. https://doi.org/10.1038/s41592-023-01936-6. ieee: P. Velicky et al., “Dense 4D nanoscale reconstruction of living brain tissue,” Nature Methods, vol. 20. Springer Nature, pp. 1256–1265, 2023. ista: Velicky P, Miguel Villalba E, Michalska JM, Lyudchik J, Wei D, Lin Z, Watson J, Troidl J, Beyer J, Ben Simon Y, Sommer CM, Jahr W, Cenameri A, Broichhagen J, Grant SGN, Jonas PM, Novarino G, Pfister H, Bickel B, Danzl JG. 2023. Dense 4D nanoscale reconstruction of living brain tissue. Nature Methods. 20, 1256–1265. mla: Velicky, Philipp, et al. “Dense 4D Nanoscale Reconstruction of Living Brain Tissue.” Nature Methods, vol. 20, Springer Nature, 2023, pp. 1256–65, doi:10.1038/s41592-023-01936-6. short: P. Velicky, E. Miguel Villalba, J.M. Michalska, J. Lyudchik, D. Wei, Z. Lin, J. Watson, J. Troidl, J. Beyer, Y. Ben Simon, C.M. Sommer, W. Jahr, A. Cenameri, J. Broichhagen, S.G.N. Grant, P.M. Jonas, G. Novarino, H. Pfister, B. Bickel, J.G. Danzl, Nature Methods 20 (2023) 1256–1265. date_created: 2023-07-23T22:01:13Z date_published: 2023-08-01T00:00:00Z date_updated: 2024-01-10T08:37:48Z day: '01' department: - _id: PeJo - _id: GaNo - _id: BeBi - _id: JoDa - _id: Bio doi: 10.1038/s41592-023-01936-6 ec_funded: 1 external_id: isi: - '001025621500001' pmid: - '37429995' intvolume: ' 20' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1038/s41592-023-01936-6 month: '08' oa: 1 oa_version: Published Version page: 1256-1265 pmid: 1 project: - _id: 265CB4D0-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: I03600 name: Optical control of synaptic function via adhesion molecules - _id: 2548AE96-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: W1232-B24 name: Molecular Drug Targets - _id: 25C5A090-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z00312 name: The Wittgenstein Prize - _id: 23889792-32DE-11EA-91FC-C7463DDC885E name: High content imaging to decode human immune cell interactions in health and allergic disease - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program - _id: 24F9549A-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '715767' name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and Modeling' - _id: 25444568-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '715508' name: Probing the Reversibility of Autism Spectrum Disorders by Employing in vivo and in vitro Models - _id: 25B7EB9E-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '692692' name: Biophysics and circuit function of a giant cortical glumatergic synapse - _id: fc2be41b-9c52-11eb-aca3-faa90aa144e9 call_identifier: H2020 grant_number: '101026635' name: Synaptic computations of the hippocampal CA3 circuitry - _id: 2668BFA0-B435-11E9-9278-68D0E5697425 grant_number: LT00057 name: High-speed 3D-nanoscopy to study the role of adhesion during 3D cell migration publication: Nature Methods publication_identifier: eissn: - 1548-7105 issn: - 1548-7091 publication_status: published publisher: Springer Nature quality_controlled: '1' related_material: link: - relation: software url: https://github.com/danzllab/LIONESS record: - id: '12817' relation: research_data status: public - id: '14770' relation: shorter_version status: public scopus_import: '1' status: public title: Dense 4D nanoscale reconstruction of living brain tissue type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 20 year: '2023' ... --- _id: '14770' abstract: - lang: eng text: We developed LIONESS, a technology that leverages improvements to optical super-resolution microscopy and prior information on sample structure via machine learning to overcome the limitations (in 3D-resolution, signal-to-noise ratio and light exposure) of optical microscopy of living biological specimens. LIONESS enables dense reconstruction of living brain tissue and morphodynamics visualization at the nanoscale. article_processing_charge: No article_type: letter_note author: - first_name: Johann G full_name: Danzl, Johann G id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87 last_name: Danzl orcid: 0000-0001-8559-3973 - first_name: Philipp full_name: Velicky, Philipp id: 39BDC62C-F248-11E8-B48F-1D18A9856A87 last_name: Velicky orcid: 0000-0002-2340-7431 citation: ama: Danzl JG, Velicky P. LIONESS enables 4D nanoscale reconstruction of living brain tissue. Nature Methods. 2023;20(8):1141-1142. doi:10.1038/s41592-023-01937-5 apa: Danzl, J. G., & Velicky, P. (2023). LIONESS enables 4D nanoscale reconstruction of living brain tissue. Nature Methods. Springer Nature. https://doi.org/10.1038/s41592-023-01937-5 chicago: Danzl, Johann G, and Philipp Velicky. “LIONESS Enables 4D Nanoscale Reconstruction of Living Brain Tissue.” Nature Methods. Springer Nature, 2023. https://doi.org/10.1038/s41592-023-01937-5. ieee: J. G. Danzl and P. Velicky, “LIONESS enables 4D nanoscale reconstruction of living brain tissue,” Nature Methods, vol. 20, no. 8. Springer Nature, pp. 1141–1142, 2023. ista: Danzl JG, Velicky P. 2023. LIONESS enables 4D nanoscale reconstruction of living brain tissue. Nature Methods. 20(8), 1141–1142. mla: Danzl, Johann G., and Philipp Velicky. “LIONESS Enables 4D Nanoscale Reconstruction of Living Brain Tissue.” Nature Methods, vol. 20, no. 8, Springer Nature, 2023, pp. 1141–42, doi:10.1038/s41592-023-01937-5. short: J.G. Danzl, P. Velicky, Nature Methods 20 (2023) 1141–1142. date_created: 2024-01-10T08:07:15Z date_published: 2023-08-01T00:00:00Z date_updated: 2024-01-10T08:37:48Z day: '01' department: - _id: JoDa doi: 10.1038/s41592-023-01937-5 external_id: isi: - '001025621500002' intvolume: ' 20' isi: 1 issue: '8' keyword: - Cell Biology - Molecular Biology - Biochemistry - Biotechnology language: - iso: eng month: '08' oa_version: None page: 1141-1142 publication: Nature Methods publication_identifier: eissn: - 1548-7105 issn: - 1548-7091 publication_status: published publisher: Springer Nature quality_controlled: '1' related_material: record: - id: '13267' relation: extended_version status: public scopus_import: '1' status: public title: LIONESS enables 4D nanoscale reconstruction of living brain tissue type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 20 year: '2023' ... --- _id: '11187' abstract: - lang: eng text: During the COVID-19 pandemic, genomics and bioinformatics have emerged as essential public health tools. The genomic data acquired using these methods have supported the global health response, facilitated the development of testing methods and allowed the timely tracking of novel SARS-CoV-2 variants. Yet the virtually unlimited potential for rapid generation and analysis of genomic data is also coupled with unique technical, scientific and organizational challenges. Here, we discuss the application of genomic and computational methods for efficient data-driven COVID-19 response, the advantages of the democratization of viral sequencing around the world and the challenges associated with viral genome data collection and processing. acknowledgement: 'Our paper is dedicated to all freedom-loving people around the world, and to the people of Ukraine who fight for our freedom. We thank William M. Switzer and Ellsworth M. Campbell from the Division of HIV/AIDS Prevention, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA, for discussions and suggestions. We thank Jason Ladner from the Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, for providing suggestions and feedback. S.M. was partially supported by National Science Foundation grants 2041984. T.L. is supported by the NSFC Excellent Young Scientists Fund (Hong Kong and Macau; 31922087), Research Grants Council (RGC) Collaborative Research Fund (C7144-20GF), RGC Research Impact Fund (R7021-20), Innovation and Technology Commission’s InnoHK funding (D24H) and Health and Medical Research Fund (COVID190223). P.S. was supported by US National Institutes of Health (NIH) grant 1R01EB025022 and National Science Foundation (NSF) grant 2047828. M.A. acknowledges King Abdulaziz City for Science and Technology and the Saudi Human Genome Project for technical and financial support (https://shgp.kacst.edu.sa) N.W. was supported by US NIH grants R00 AI139445, DP2 AT011966 and R01 AI167910. A.S. acknowledge funding from NSF grant no. 2029025. A.Z. has been partially supported by NIH grants 1R01EB025022-01 and 1R21CA241044-01A1. S. Knyazev has been partly supported by Molecular Basis of Disease at Georgia State University and NIH awards R01 HG009120, R01 MH115676, R01 AI153827 and U01 HG011715. A.W. has been supported by the CAMS Innovation Fund for Medical Sciences (2021-I2M-1-061). R.K. was supported by NSF project 2038509, RAPID: Improving QIIME 2 and UniFrac for Viruses to Respond to COVID-19, CDC project 30055281 with Scripps led by Kristian Andersen, Genomic sequencing of SARS-CoV-2 to investigate local and cross-border emergence and spread. J.O.W. was supported by NIH–National Institute of Allergy and Infectious Diseases (NIAID) R01 AI135992 and receives funding from the CDC unrelated to this work. T.I.V. is supported by the Branco Weiss Fellowship. Y.P. was supported by the Ministry of Science and Higher Education of the Russian Federation within the framework of state support for the creation and development of World-Class Research Centers “Digital biodesign and personalized healthcare” N◦075-15-2020-926. E.B. was supported by a US National Institute of General Medical Sciences IDeA Alaska INBRE (P20GM103395) and NIAID CEIRR (75N93019R00028). C.E.M. thanks Testing for America (501c3), OpenCovidScreen Foundation, Igor Tulchinsky and the WorldQuant Foundation, Bill Ackman and Olivia Flatto and the Pershing Square Foundation, Ken Griffin and Citadel, the US National Institutes of Health (R01AI125416, R01AI151059, R21AI129851, U01DA053941), and the Alfred P. Sloan Foundation (G-2015-13964). C.Y.C. is supported by US CDC Epidemiology and Laboratory Capacity (ELC) for Infectious Diseases grant 6NU50CK000539 to the California Department of Public Health, the Innovative Genomics Institute (IGI) at the University of California, Berkeley, and University of California, San Francisco, NIH grant R33AI12945 and US CDC contract 75D30121C10991. A.K. was partly supported by RFBR grant 20-515-80017. P.L. acknowledges support from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement no. ~725422 - ReservoirDOCS), the Wellcome Trust through project 206298/Z/17/Z (Artic Network) and NIH grants R01 AI153044 and U19 AI135995. K.C. acknowledges support from the US NSF award EEID-IOS-2109688. F.K.’s work was supported by an ERC Consolidator grant to F.K. (771209–CharFL).' article_processing_charge: No article_type: letter_note author: - first_name: Sergey full_name: Knyazev, Sergey last_name: Knyazev - first_name: Karishma full_name: Chhugani, Karishma last_name: Chhugani - first_name: Varuni full_name: Sarwal, Varuni last_name: Sarwal - first_name: Ram full_name: Ayyala, Ram last_name: Ayyala - first_name: Harman full_name: Singh, Harman last_name: Singh - first_name: Smruthi full_name: Karthikeyan, Smruthi last_name: Karthikeyan - first_name: Dhrithi full_name: Deshpande, Dhrithi last_name: Deshpande - first_name: Pelin Icer full_name: Baykal, Pelin Icer last_name: Baykal - first_name: Zoia full_name: Comarova, Zoia last_name: Comarova - first_name: Angela full_name: Lu, Angela last_name: Lu - first_name: Yuri full_name: Porozov, Yuri last_name: Porozov - first_name: Tetyana I. full_name: Vasylyeva, Tetyana I. last_name: Vasylyeva - first_name: Joel O. full_name: Wertheim, Joel O. last_name: Wertheim - first_name: Braden T. full_name: Tierney, Braden T. last_name: Tierney - first_name: Charles Y. full_name: Chiu, Charles Y. last_name: Chiu - first_name: Ren full_name: Sun, Ren last_name: Sun - first_name: Aiping full_name: Wu, Aiping last_name: Wu - first_name: Malak S. full_name: Abedalthagafi, Malak S. last_name: Abedalthagafi - first_name: Victoria M. full_name: Pak, Victoria M. last_name: Pak - first_name: Shivashankar H. full_name: Nagaraj, Shivashankar H. last_name: Nagaraj - first_name: Adam L. full_name: Smith, Adam L. last_name: Smith - first_name: Pavel full_name: Skums, Pavel last_name: Skums - first_name: Bogdan full_name: Pasaniuc, Bogdan last_name: Pasaniuc - first_name: Andrey full_name: Komissarov, Andrey last_name: Komissarov - first_name: Christopher E. full_name: Mason, Christopher E. last_name: Mason - first_name: Eric full_name: Bortz, Eric last_name: Bortz - first_name: Philippe full_name: Lemey, Philippe last_name: Lemey - first_name: Fyodor full_name: Kondrashov, Fyodor id: 44FDEF62-F248-11E8-B48F-1D18A9856A87 last_name: Kondrashov orcid: 0000-0001-8243-4694 - first_name: Niko full_name: Beerenwinkel, Niko last_name: Beerenwinkel - first_name: Tommy Tsan Yuk full_name: Lam, Tommy Tsan Yuk last_name: Lam - first_name: Nicholas C. full_name: Wu, Nicholas C. last_name: Wu - first_name: Alex full_name: Zelikovsky, Alex last_name: Zelikovsky - first_name: Rob full_name: Knight, Rob last_name: Knight - first_name: Keith A. full_name: Crandall, Keith A. last_name: Crandall - first_name: Serghei full_name: Mangul, Serghei last_name: Mangul citation: ama: Knyazev S, Chhugani K, Sarwal V, et al. Unlocking capacities of genomics for the COVID-19 response and future pandemics. Nature Methods. 2022;19(4):374-380. doi:10.1038/s41592-022-01444-z apa: Knyazev, S., Chhugani, K., Sarwal, V., Ayyala, R., Singh, H., Karthikeyan, S., … Mangul, S. (2022). Unlocking capacities of genomics for the COVID-19 response and future pandemics. Nature Methods. Springer Nature. https://doi.org/10.1038/s41592-022-01444-z chicago: Knyazev, Sergey, Karishma Chhugani, Varuni Sarwal, Ram Ayyala, Harman Singh, Smruthi Karthikeyan, Dhrithi Deshpande, et al. “Unlocking Capacities of Genomics for the COVID-19 Response and Future Pandemics.” Nature Methods. Springer Nature, 2022. https://doi.org/10.1038/s41592-022-01444-z. ieee: S. Knyazev et al., “Unlocking capacities of genomics for the COVID-19 response and future pandemics,” Nature Methods, vol. 19, no. 4. Springer Nature, pp. 374–380, 2022. ista: Knyazev S, Chhugani K, Sarwal V, Ayyala R, Singh H, Karthikeyan S, Deshpande D, Baykal PI, Comarova Z, Lu A, Porozov Y, Vasylyeva TI, Wertheim JO, Tierney BT, Chiu CY, Sun R, Wu A, Abedalthagafi MS, Pak VM, Nagaraj SH, Smith AL, Skums P, Pasaniuc B, Komissarov A, Mason CE, Bortz E, Lemey P, Kondrashov F, Beerenwinkel N, Lam TTY, Wu NC, Zelikovsky A, Knight R, Crandall KA, Mangul S. 2022. Unlocking capacities of genomics for the COVID-19 response and future pandemics. Nature Methods. 19(4), 374–380. mla: Knyazev, Sergey, et al. “Unlocking Capacities of Genomics for the COVID-19 Response and Future Pandemics.” Nature Methods, vol. 19, no. 4, Springer Nature, 2022, pp. 374–80, doi:10.1038/s41592-022-01444-z. short: S. Knyazev, K. Chhugani, V. Sarwal, R. Ayyala, H. Singh, S. Karthikeyan, D. Deshpande, P.I. Baykal, Z. Comarova, A. Lu, Y. Porozov, T.I. Vasylyeva, J.O. Wertheim, B.T. Tierney, C.Y. Chiu, R. Sun, A. Wu, M.S. Abedalthagafi, V.M. Pak, S.H. Nagaraj, A.L. Smith, P. Skums, B. Pasaniuc, A. Komissarov, C.E. Mason, E. Bortz, P. Lemey, F. Kondrashov, N. Beerenwinkel, T.T.Y. Lam, N.C. Wu, A. Zelikovsky, R. Knight, K.A. Crandall, S. Mangul, Nature Methods 19 (2022) 374–380. date_created: 2022-04-17T22:01:48Z date_published: 2022-04-08T00:00:00Z date_updated: 2023-08-03T06:46:09Z day: '08' department: - _id: FyKo doi: 10.1038/s41592-022-01444-z ec_funded: 1 external_id: isi: - '000781199600011' pmid: - '35396471' intvolume: ' 19' isi: 1 issue: '4' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1038/s41592-022-01444-z month: '04' oa: 1 oa_version: Published Version page: 374-380 pmid: 1 project: - _id: 26580278-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '771209' name: Characterizing the fitness landscape on population and global scales publication: Nature Methods publication_identifier: eissn: - 1548-7105 issn: - 1548-7091 publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: Unlocking capacities of genomics for the COVID-19 response and future pandemics type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 19 year: '2022' ... --- _id: '9258' acknowledgement: 'We thank S. van der Walt and K. Marchuk for discussion during development. This project was funded by Packard Fellowship and Chan Zuckerberg Biohub Investigator Awards to L.W.; STROBE: A NSF Science and Technology Center; an NSF Graduate Research Fellowship awarded to H.P.; a Berkeley Institute for Data Science/UCSF Bakar Computational Health Sciences Institute Fellowship awarded to H.P. with support from the Koret Foundation, the Gordon and Betty Moore Foundation, and the Alfred P. Sloan Foundation to the University of California, Berkeley. K.W.E., B.L. and M.T. were funded by the Chan Zuckerberg Initiative and NIH grant P41GM135019.' article_processing_charge: No article_type: letter_note author: - first_name: Henry full_name: Pinkard, Henry last_name: Pinkard - first_name: Nico full_name: Stuurman, Nico last_name: Stuurman - first_name: Ivan E. full_name: Ivanov, Ivan E. last_name: Ivanov - first_name: Nicholas M. full_name: Anthony, Nicholas M. last_name: Anthony - first_name: Wei full_name: Ouyang, Wei last_name: Ouyang - first_name: Bin full_name: Li, Bin last_name: Li - first_name: Bin full_name: Yang, Bin last_name: Yang - first_name: Mark A. full_name: Tsuchida, Mark A. last_name: Tsuchida - first_name: Bryant full_name: Chhun, Bryant last_name: Chhun - first_name: Grace full_name: Zhang, Grace last_name: Zhang - first_name: Ryan full_name: Mei, Ryan last_name: Mei - first_name: Michael full_name: Anderson, Michael last_name: Anderson - first_name: Douglas P. full_name: Shepherd, Douglas P. last_name: Shepherd - first_name: Ian full_name: Hunt-Isaak, Ian last_name: Hunt-Isaak - first_name: Raymond L. full_name: Dunn, Raymond L. last_name: Dunn - first_name: Wiebke full_name: Jahr, Wiebke id: 425C1CE8-F248-11E8-B48F-1D18A9856A87 last_name: Jahr - first_name: Saul full_name: Kato, Saul last_name: Kato - first_name: Loïc A. full_name: Royer, Loïc A. last_name: Royer - first_name: Jay R. full_name: Thiagarajah, Jay R. last_name: Thiagarajah - first_name: Kevin W. full_name: Eliceiri, Kevin W. last_name: Eliceiri - first_name: Emma full_name: Lundberg, Emma last_name: Lundberg - first_name: Shalin B. full_name: Mehta, Shalin B. last_name: Mehta - first_name: Laura full_name: Waller, Laura last_name: Waller citation: ama: 'Pinkard H, Stuurman N, Ivanov IE, et al. Pycro-Manager: Open-source software for customized and reproducible microscope control. Nature Methods. 2021;18(3):226-228. doi:10.1038/s41592-021-01087-6' apa: 'Pinkard, H., Stuurman, N., Ivanov, I. E., Anthony, N. M., Ouyang, W., Li, B., … Waller, L. (2021). Pycro-Manager: Open-source software for customized and reproducible microscope control. Nature Methods. Springer Nature. https://doi.org/10.1038/s41592-021-01087-6' chicago: 'Pinkard, Henry, Nico Stuurman, Ivan E. Ivanov, Nicholas M. Anthony, Wei Ouyang, Bin Li, Bin Yang, et al. “Pycro-Manager: Open-Source Software for Customized and Reproducible Microscope Control.” Nature Methods. Springer Nature, 2021. https://doi.org/10.1038/s41592-021-01087-6.' ieee: 'H. Pinkard et al., “Pycro-Manager: Open-source software for customized and reproducible microscope control,” Nature Methods, vol. 18, no. 3. Springer Nature, pp. 226–228, 2021.' ista: 'Pinkard H, Stuurman N, Ivanov IE, Anthony NM, Ouyang W, Li B, Yang B, Tsuchida MA, Chhun B, Zhang G, Mei R, Anderson M, Shepherd DP, Hunt-Isaak I, Dunn RL, Jahr W, Kato S, Royer LA, Thiagarajah JR, Eliceiri KW, Lundberg E, Mehta SB, Waller L. 2021. Pycro-Manager: Open-source software for customized and reproducible microscope control. Nature Methods. 18(3), 226–228.' mla: 'Pinkard, Henry, et al. “Pycro-Manager: Open-Source Software for Customized and Reproducible Microscope Control.” Nature Methods, vol. 18, no. 3, Springer Nature, 2021, pp. 226–28, doi:10.1038/s41592-021-01087-6.' short: H. Pinkard, N. Stuurman, I.E. Ivanov, N.M. Anthony, W. Ouyang, B. Li, B. Yang, M.A. Tsuchida, B. Chhun, G. Zhang, R. Mei, M. Anderson, D.P. Shepherd, I. Hunt-Isaak, R.L. Dunn, W. Jahr, S. Kato, L.A. Royer, J.R. Thiagarajah, K.W. Eliceiri, E. Lundberg, S.B. Mehta, L. Waller, Nature Methods 18 (2021) 226–228. date_created: 2021-03-21T23:01:20Z date_published: 2021-03-01T00:00:00Z date_updated: 2023-08-07T14:19:08Z day: '01' department: - _id: JoDa doi: 10.1038/s41592-021-01087-6 external_id: isi: - '000625600600007' pmid: - '33674797' intvolume: ' 18' isi: 1 issue: '3' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1038/s41592-021-01087-6 month: '03' oa: 1 oa_version: Published Version page: 226-228 pmid: 1 publication: Nature Methods publication_identifier: eissn: - 1548-7105 issn: - 1548-7091 publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: 'Pycro-Manager: Open-source software for customized and reproducible microscope control' type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 18 year: '2021' ...