CytoPb: Segmentation-free and threshold-free analysis of highly multiplexed images of biological tissue

We present a novel method and code, CytoPb, for the analysis of multiplexed images that is segmentation-free and threshold-free and produces results that correlate well with existing methods but is faster to run, needs minimal training and removes subjectivity associated with the validation of single-cell segmentation and thresholding. In three data sets cell abundance measures correlate with previous methods (Pearsons coef. >0.75). Neighbourhood analysis and cell-cell proximity are possible.