Explainable handcrafted features for mitotic event detection and classification.

Analysis of cell populations and their behavior is very important in biological and medical research, such as tissue engineering and cancer research. Such behavioral analysis is often performed by visual observation of the cells using microscopy and other imaging techniques, which is often a time-consuming process due to the need for manual observations. Here, a fully automated mitotic event detection method has been developed allowing to reduce the processing time and improving the accuracy of the proliferation rate estimation of studied cell populations Despite the obvious morphological changes during mitosis, traditional image processing methods are not the best candidates, because some phenomena in the images appear as mitotic events but consist of noise and artifacts.