Delineating the heterogeneity of embryo preimplantation development using automated and accurate morphokinetic annotation

• DOI: 10.1007/s10815-023-02806-y
• Publication Date: 2023-06-10T05:01:37Z
• Authors: Nir Zabari; Yoav Kan-Tor; Yuval Or; Zeev Shoham; Yoel Shufaro; Dganit Richter; Iris Har-Vardi; Assaf Ben-Meir; Naama Srebnik; Amnon Buxboim
• Keywords: Embryo Culture Techniques; Blastocyst; Humans; Embryonic Development; Embryo Implantation; Assisted Reproduction Technologies; Embryo, Mammalian; Time-Lapse Imaging; Retrospective Studies

Our objective was to design an automated deep learning model that extracts the morphokinetic events of embryos were recorded by time-lapse incubators. Using annotation, we set out characterize temporal heterogeneity preimplantation development across a large number embryos.