Picasso-server: a community-based, open-source processing framework for super-resolution data

Super-resolution microscopy has become increasingly robust and performant over the last decade. Here, we report a server infrastructure that combines robust community-tested open-source processing algorithms with a workflow management system and database to enable production-grade processing of high...

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Detalles Bibliográficos
Autor principal: Strauss, Maximilian T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Comment
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9458736/
https://www.ncbi.nlm.nih.gov/pubmed/36076006
http://dx.doi.org/10.1038/s42003-022-03909-5
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author Strauss, Maximilian T.
author_facet Strauss, Maximilian T.
author_sort Strauss, Maximilian T.
collection PubMed
description Super-resolution microscopy has become increasingly robust and performant over the last decade. Here, we report a server infrastructure that combines robust community-tested open-source processing algorithms with a workflow management system and database to enable production-grade processing of high-content super-resolution data.
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spelling pubmed-94587362022-09-10 Picasso-server: a community-based, open-source processing framework for super-resolution data Strauss, Maximilian T. Commun Biol Comment Super-resolution microscopy has become increasingly robust and performant over the last decade. Here, we report a server infrastructure that combines robust community-tested open-source processing algorithms with a workflow management system and database to enable production-grade processing of high-content super-resolution data. Nature Publishing Group UK 2022-09-08 /pmc/articles/PMC9458736/ /pubmed/36076006 http://dx.doi.org/10.1038/s42003-022-03909-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Comment
Strauss, Maximilian T.
Picasso-server: a community-based, open-source processing framework for super-resolution data
title Picasso-server: a community-based, open-source processing framework for super-resolution data
title_full Picasso-server: a community-based, open-source processing framework for super-resolution data
title_fullStr Picasso-server: a community-based, open-source processing framework for super-resolution data
title_full_unstemmed Picasso-server: a community-based, open-source processing framework for super-resolution data
title_short Picasso-server: a community-based, open-source processing framework for super-resolution data
title_sort picasso-server: a community-based, open-source processing framework for super-resolution data
topic Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9458736/
https://www.ncbi.nlm.nih.gov/pubmed/36076006
http://dx.doi.org/10.1038/s42003-022-03909-5
work_keys_str_mv AT straussmaximiliant picassoserveracommunitybasedopensourceprocessingframeworkforsuperresolutiondata

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