Morphological oocyte selection by Artificial Intelligence

Oocyte morphology and efficiency of the oocyte donor are significant factors for successful egg banking programs. Semantic segmentation of donor oocyte images is achieved with deep neural networks, and systems get information regarding the morphological specification of each oocyte and the efficiency of the egg donor from previous cycles.

Ovogene bank uses Artificial intelligence (AI) for morphological donor oocyte selection from the stage after the denudation process. Senior embryologists select oocytes of high morphological quality, and then an active time-lapse camera captures live images of a group of oocytes. After the image recognition semantic, the segmentation system launches, and morphological calculation starts for different parameters.