arrow
Return

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

delete2022-09-08
delete4
delete
OA
AI
M
Maximilian T. Strauss *
DOI:10.1038/s42003-022-03909-5delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
Picasso-server combines community-tested algorithms of Picasso, a workflow management system, and database in a server interface for high-throughput super-resolution studies. 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.
Keywords:
MICROSCOPY
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Communications Biology cover
Communications Biology
IF:
5.1
Papers:
1.0W
Citations:
3.2W

Organization

U
University of Copenhagen
Scholars:
7.6W
Papers: 6.6W
Citations: 86