Fig. 4

Interpretation of the LSM model. A Cell imaging data were processed by principal component analysis and the PCA score plots show the striking difference that feature extraction by the LSM model can make. B Visual explanation of the LSM model. Cells from the three groups were randomly selected and their attention heatmaps in the LSM model were generated by Score-CAM. Red regions received the highest attention by the LSM model, while blue regions were largely ignored. n = 5. Scale bar = 10 μm\(.\)