Tatsuma Yao

The paper examines transcriptional asymmetry in bovine embryos and finds early divergence in gene expression associated with cell fate bias.

The paper develops FL2-Net, a deep learning method for nuclear segmentation in bright-field microscopy images of mouse embryos, achieving higher birth prediction accuracy than existing methods and experts.

This paper develops a method to count chromosomes in mouse embryos using CRISPR/dCas-mediated fluorescence in situ hybridization, improving accuracy over previous techniques.