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AutoSpill is a principled framework that simplifies the analysis of multichromatic flow cytometry data

Authors :
Carlos P. Roca
Oliver T. Burton
Václav Gergelits
Teresa Prezzemolo
Carly E. Whyte
Richard Halpert
Łukasz Kreft
James Collier
Alexander Botzki
Josef Spidlen
Stéphanie Humblet-Baron
Adrian Liston
Source :
Nature Communications, Vol 12, Iss 1, Pp 1-16 (2021)
Publication Year :
2021
Publisher :
Nature Portfolio, 2021.

Abstract

Flow cytometry allows the simultaneous quantification of many markers in and on a cell, but the analysis of such data is complicated. Here, the authors propose AutoSpill, a framework that facilitates the analysis of such data by automating parts of the analysis and requiring fewer controls.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
12
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.6c6ef8a9653a48cd8a83f09749fed584
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-021-23126-8