Automated identification of aneuploid cells within the inner cell mass of an embryo using a numerical extraction of morphological signatures
Abbas Habibalahi, Jared M. Campbell, Tiffany C. Y. Tan, Saabah B. Mahbub, Ryan Rose, Sanam Mustafa, Kylie R. Dunning, Ewa Magdalena Goldys
This paper develops a deep learning-based method to identify aneuploid cells in mouse embryos using brightfield images, achieving high accuracy in distinguishing euploid and aneuploid cells.
bioRxiv · Sep 6, 2022 · PreprintBioinformatics