Machine Learning Methods to Characterize Mouse and Human Oocytes.

We describe the steps of our machine learning pipeline to phenotype oocyte based on images/movies acquired noninvasively in transmitted light. The pipeline allows to extract hundreds of morphological/dynamical features describing individual oocytes by segmenting the oocyte contours and measuring the corresponding features. Oocytes are then characterized by running feature-based machine learning algorithm on the features.