Unsupervised discovery of dynamic cell phenotypic states from transmitted light movies
Fig 3
Cell-type specific morphological features can be interpreted by decoding the latent space cell representation.
(A) Clustergram of average z-scores for latent shape and texture features for different cell clusters (see Methods section for how z-scores values were calculated). (B) Five mask features with highest z-scores for each morphological cluster are decoded and visualized. Clustergram shows matrix of correlation coefficients for forty mask features having the highest standard variation in the dataset. Scale bar represents 5 μm. (C) Individual texture features were clustered into eight groups (T1-T8) according to their correlation with each other from the clustergram of texture features. Each group was decoded into brightfield difference images for interpretation (see Methods). Scale bar represents 5 μm.