The present disclosure generally relates to systems and methods for evaluating viability of oocytes. In some implementation examples, an image sequence associated with an oocyte being aspirated into a pressure tool is obtained. Based on the image sequence and pressures applied on the oocyte, morphological features and mechanical features associated with the oocyte can be derived. At least some of the features can then be fed into a machine learning model to determine metrics indicative of quality of the oocyte, where a particular metric may be indicative of blastocyst formation. Optionally, the determined oocyte quality information can be presented to a user via an interactive user interface.