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MCMICRO: a scalable, modular image-processing pipeline for multiplexed tissue imaging.

Authors :
Schapiro D
Sokolov A
Yapp C
Chen YA
Muhlich JL
Hess J
Creason AL
Nirmal AJ
Baker GJ
Nariya MK
Lin JR
Maliga Z
Jacobson CA
Hodgman MW
Ruokonen J
Farhi SL
Abbondanza D
McKinley ET
Persson D
Betts C
Sivagnanam S
Regev A
Goecks J
Coffey RJ
Coussens LM
Santagata S
Sorger PK
Source :
Nature methods [Nat Methods] 2022 Mar; Vol. 19 (3), pp. 311-315. Date of Electronic Publication: 2021 Nov 25.
Publication Year :
2022

Abstract

Highly multiplexed tissue imaging makes detailed molecular analysis of single cells possible in a preserved spatial context. However, reproducible analysis of large multichannel images poses a substantial computational challenge. Here, we describe a modular and open-source computational pipeline, MCMICRO, for performing the sequential steps needed to transform whole-slide images into single-cell data. We demonstrate the use of MCMICRO on tissue and tumor images acquired using multiple imaging platforms, thereby providing a solid foundation for the continued development of tissue imaging software.<br /> (© 2021. The Author(s).)

Details

Language :
English
ISSN :
1548-7105
Volume :
19
Issue :
3
Database :
MEDLINE
Journal :
Nature methods
Publication Type :
Academic Journal
Accession number :
34824477
Full Text :
https://doi.org/10.1038/s41592-021-01308-y