Fig. 1: Overall workflow for image processing, data generation and analysis. | Cell Death & Differentiation

Fig. 1: Overall workflow for image processing, data generation and analysis.

From: An atlas of inter- and intra-tumor heterogeneity of apoptosis competency in colorectal cancer tissue at single-cell resolution

Fig. 1

A Simplified workflow of the Cell DIVE™ platform and data analysis. In total, we quantified 18 proteins in a total of 2.4 million cells in 373 tissue microarray (TMA) cores from 168 patients (12 stage II, 132 stage III, 9 stage IV). On average, we found 6492 (SD 1228) cells per core; totaling on average 14,414 (SD 4196) cells per patient (1–3 cores; F). B Random forest was used to differentiate cells using DAPI, and epithelial and CD markers. C The majority of cores consisted of epithelial like cancer and stroma cells, D with less than 20% of cells being immune cells in the majority of cores (ANOVA, Tukey post-hoc).

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