Robust Automatic Threshold Selection (RATS) is a fast and noise robust automatic thresholding method based on gradients in the image. The basic idea is to choose the threshold at the intensity where the gradient are the highest.

When an image is mostly composed of background pixels, most of the automatic thresholding methods are failing to produce a relevant threshold. This is mainly caused because one mode is over represented compared to the other in the histogram of the image. [...]

The gold standard for measuring muscle regeneration in muscular dystrophy therapies is counting the number of dystrophin-positive muscle fibers on a cryostat muscle section immunostained for dystrophin. The standard process of manually counting a few thousand [...]