MCMICRO: a scalable, modular image-processing pipeline for multiplexed tissue imaging
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, MC...
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Veröffentlicht in: | Nature methods 2022-03, Vol.19 (3), p.311-315 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | 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.
MCMICRO is a modular and open-source computational pipeline for transforming highly multiplexed whole-slide images of tissues into single-cell data. MCMICRO is versatile and can be used with CODEX, mxIF, CyCIF, mIHC and H&E staining data. |
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ISSN: | 1548-7091 1548-7105 1548-7105 |
DOI: | 10.1038/s41592-021-01308-y |