Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA, USA.
Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, USA.
Nat Methods. 2022 Mar;19(3):311-315. doi: 10.1038/s41592-021-01308-y. Epub 2021 Nov 25.
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.
高多重组织成像使得在保留空间背景的情况下对单个细胞进行详细的分子分析成为可能。然而,对大型多通道图像进行可重复的分析提出了巨大的计算挑战。在这里,我们描述了一个用于执行将全幻灯片图像转换为单细胞数据所需的连续步骤的模块化和开源计算管道 MCMICRO。我们在使用多种成像平台获取的组织和肿瘤图像上展示了 MCMICRO 的使用,从而为组织成像软件的持续发展提供了坚实的基础。