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
Cited by
119 articles.
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