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

Schapiro, Denis, Artem Sokolov, Clarence Yapp, Yu-An Chen, Jeremy L. Muhlich, Joshua Hess, Allison L. Creason, et al. 2022. “MCMICRO: a scalable, modular image-processing pipeline for multiplexed tissue imaging”. Nature Methods 19 (3): 311-15.

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.
Last updated on 07/20/2022