Effects of segmentation errors on downstream-analysis in highly-multiplexed tissue imaging
Fig 2
Quality control of perturbations.
(A) Comparison of the original (white) and perturbed cell masks (colored according to perturbation strength: blue, red, green, yellow) based on mask borders on a randomly selected image slide. (B) Kernel-density estimation (KDE) for single-cell expression residuals between original and perturbed data. (C) KDE for median area changes of cells. (D) KDE for the mean absolute error between true and perturbed feature correlation matrices. (E) KDE for the results of the classifier 2-sample test.