In vitro machine learning-based CAR T immunological synapse quality measurements correlate with patient clinical outcomes
Fig 7
Successful image data extraction in a python environment.
(A) Is a sample of 11 Z slides with five channels: F-actin at row 1 (channel 1), perforin at row 2 (channel 2), tumor antigen at row 3 (channel 3), pZeta at row 4 (channel 4) and, the DIC of the cells at row 5 (channel 5). To have clear representations of the cells in the figure, colormap filters are added to the original grayscale images: F-actin received ’RdGy_r’ colormap, perforin received ’PRGn_r’ colormap, tumor antigen received ’RdBu_r’ colormap, pZeta received ’PuOr_r’ colormap and, the DIC received ’binary’ colormap. The colormaps [61] are only used for representation purposes and do not affect the evaluation of the IS. (B) Plots the mean intensity values for grayscale images through Z slides for all channels.