Machine learning-driven single-cell phenotyping in size-controlled microenvironments via parallel deterministic droplet microfluidics.

Abstract excerpt

Understanding how individual cells respond to distinct physical microenvironments is critical for mechanobiology, cell therapy, and tissue engineering. Current single-cell encapsulation methods are often limited by Poisson loading and fixed droplet sizes, preventing parallel generation of multiple, size-specific microenvironments and constraining high-resolution phenotypic analyses. Here, we present a droplet...

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