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Fig. 6 | Diagnostic Pathology

Fig. 6

From: Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images

Fig. 6

Example of analyses describing immune-tumor spatial relationships in mIHC-stained PDAC tissue. A. Representative images of segmentation boundaries of detected tumor nests and immune cells labelled with IHC biomarkers: K17 (blue segmentation boundary), CD3 (yellow boundary), CD4 (teal boundary), CD8 (purple boundary), CD20 (magenta boundary), and CD16 (black boundary). Red lines indicate nearest neighbor distance vector connecting each immune cell to the nearest tumor nest. B. Average number of masks per case for each of the different cell classes in three WSIs. C. Median nearest neighbor distances for each immune cell class across cases. D. Proximity analysis showing the number of detected masks for each cell class at 10 um distance intervals from the tumor boundary. *Note: Nearest Neighbor analyses are asymmetric and Nearest Neighbor analyses from each tumor nest to nearest immune cell are shown in supplemental Fig. 4

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