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:
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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
Descripción
Sumario: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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