The automated computer-learning system can be used to track acinar cell loss and recovery after acute pancreatic injury.

(A) Representative HE pancreas sections at baseline and from several time points after caerulein hyperstimulation, with acinar structures outlined in red. (B) Quantification of acinar area generated by the computer algorithm and two human experts. (n = 6 patches for each time point). The graph shows absolute percent acinar area compared to total pancreatic tissue (left axis) as well as the relative change in acinar tissue as normalized by Day 3 acinar content (right axis). Overall sensitivity = 88%, specificity = 86%, accuracy = 93%, and F1 score = 0.86.