In vitro machine learning-based CAR T immunological synapse quality measurements correlate with patient clinical outcomes
Fig 6
The total intensity in 4 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). (A) Shows one sample for each patient. The left side is for patient #3 and the right side for patient #4. In these images, the regions that do not belong to any predicted masks from ANNs are removed. Auto-contrast makes cells visible to human eyes (they do not affect real analysis). The (B), (C), (D), and (E) show the total intensity distribution and cumulative probability of two patients using fully trained networks across all channels for all counted cells from the evaluation phase. The figures also show the mean, variance, and the number of cells detected for each channel separately.