(Left) Bright field time-lapse image input. (Right) Machine learning based predictions of real time, live mesenchymal stromal cell extracellular marker expression from bright field time-lapse input. https://www.nature.com/articles/s41598-021-85905-z
Epithelial crowding is a canonical process of tissue development and remodeling, involving epigenetic alterations induced by intercellular mechanical forces.
We develop quantitative optical imaging methods to investigate soft material properties.
(Left) Bright field time-lapse image input. (Right) Machine learning based predictions of real time, live mesenchymal stromal cell extracellular marker expression from bright field time-lapse input. https://www.nature.com/articles/s41598-021-85905-z
Mechanobiology-Driven Digital Biology for Tissue Engineering
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Mechanobiology Foundation: We investigate how physical cues, such as cell-cell adhesion, substrate interactions, and microenvironmental stresses, shape cell behavior and tissue development.
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Digital Biology & AI-Driven Discovery: By leveraging artificial intelligence for high-dimensional cell characterization and programmable microenvironmental controls, we systematically unravel how cells integrate complex signals to make context-dependent fate decisions.
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Translational Impact: Our integrated approach not only deepens understanding of tissue development, but also enables innovative strategies for engineering functional living tissues for research and therapeutic applications.
From top left: James Lo, Alan Levinson, Dr. Neil Lin, Jerry Chen, Alexandra Bermudez
From bottom left: Kathryn Saxton, Shannon Li, Iris Sloan, Katie Shi
Our work is currently supported by the NSF CMMI AM, NIH NIGMS MIRA, Hellman Fellowship, CNSI Noble Family Innovation Award, JCCC, Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research.
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