Fig. 5: Immune phenotyping using HistoPlexer.
From: Histopathology-based protein multiplex generation using deep learning
a, Four samples from TuPro metastatic melanoma cohort with two immune-hot cases in the top row and two immune-cold samples in the bottom row. For each sample, H&E image on the left along with overlay of predicted tumour and CD8+ T cells within tumour centre region using HistoPlexer model on the right. Heterogeneity average (HTA) index for quantifying the spatial heterogeneity or interaction between tumour and CD8⁺ T cells is indicated for each sample. Scale bars, 1 mm. b, Box plot of iCD8 and sCD8 CD8+ T cell densities in tumour centre compartment, stratified by immune desert, excluded and inflamed classes (i). Box plot of iCD8 and sCD8 CD8+ T cell densities in tumour centre compartment, stratified by immune-hot and -cold classes (ii). Box plots show the median (centre line), the 25th and 75th percentiles (box limits), and whiskers extending to the most extreme data points within 1.5× the interquartile range from the box limits. Points beyond the whiskers represent outliers.
