henhaobio
Sign in

Abstract

Highly multiplexed tissue imaging makes molecular analysis of single cells possible in a preserved spatial context. However, reproducible analysis of the underlying data poses a substantial computational challenge. Here we describe a modular and open-source computational pipeline (MCMICRO) for performing the sequential steps needed to transform large, multi-channel whole slide images into single-cell data. We demonstrate use of MCMICRO on images of different tissues and tumors acquired using multiple imaging platforms, thereby providing a solid foundation for the continued development of tissue imaging software.

Citations
243
FWCI
16.50
Field percentile
top 1%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISBortolomeaz '22Muhlich '22Eling '25Mardamshina '25Kim '23Chen '25
71% semantic matchBioinformatics
Michele Bortolomeazzi, Lucia Montorsi, Damjan Temelkovski+8 more·Nature Communications·Feb 9, 2022· 47 citations