Daisuke Mashiko

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

This study identifies SLC35G3 as a UDP-GlcNAc transporter essential for sperm glycoprotein formation and male fertility in mice.

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

The paper develops a deep learning algorithm to predict mouse embryo live birth potential from nuclear structural features in fluorescence images, achieving 83.87% accuracy.

This paper introduces a deep learning-based instance segmentation algorithm, QCA Net, which outperforms existing methods in segmenting nuclei in mouse embryos and provides quantitative developmental metrics.