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

Author:

Schapiro Denis,Sokolov ArtemORCID,Yapp ClarenceORCID,Chen Yu-An,Muhlich Jeremy L.ORCID,Hess JoshuaORCID,Creason Allison L.ORCID,Nirmal Ajit J.,Baker Gregory J.ORCID,Nariya Maulik K.,Lin Jia-RenORCID,Maliga Zoltan,Jacobson Connor A.ORCID,Hodgman Matthew W.,Ruokonen Juha,Farhi Samouil L.ORCID,Abbondanza Domenic,McKinley Eliot T.,Persson Daniel,Betts Courtney,Sivagnanam Shamilene,Regev AvivORCID,Goecks JeremyORCID,Coffey Robert J.ORCID,Coussens Lisa M.ORCID,Santagata Sandro,Sorger Peter K.ORCID

Abstract

AbstractHighly 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.

Funder

U.S. Department of Health & Human Services | NIH | National Cancer Institute

Ludwig Institute for Cancer Research

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Damon Runyon Cancer Research Foundation

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Molecular Biology,Biochemistry,Biotechnology

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