Abstract: Systems and methods for automated imaging and evaluation of image based features are disclosed herein. Method for automated imaging and evaluation of image based features can include receiving time-lapse images of at least one human embryo contained in a multi-well culture dish that can have a plurality of micro-wells. Image based features can be automatically generated from the time-lapse images of the human embryo. The image based features, which can include a cavitation feature, can be inputted into a classifier. The classifier can automatically and directly generate a viability prediction with the classifier from the image-based features.

Abstract: Systems and methods for generating a mask for automated assessment of embryo quality are disclosed herein. The method for generating a mask for automated assessment of embryo quality can include receiving an image, including a plurality of pixels, of a human embryo from an imaging system. A pixel can be selected and features of the selected pixel can be determined by generating a plurality of random boxes of random sizes and at random locations about the selected pixel. The selected pixel can be identified as one of: inside of a mask area; and outside of the mask area based on the determined features.