Quantitative phase imaging with temporal kinetics predicts hematopoietic stem cell diversity
Takao Yogo, Yuichiro Iwamoto, Hans Jiro Becker, Takaharu Kimura, Reiko Ishida, Ayano Sugiyama-Finnis, Tomomasa Yokomizo, Toshio Suda, Sadao Ota, Satoshi Yamazaki
This paper develops a system to predict hematopoietic stem cell diversity using quantitative phase imaging and machine learning, capturing temporal kinetics rather than single snapshots.
Nature Communications · Jul 14, 2025Peer-reviewedCell Biology