Adam C. Paré

A Framework for Automated Tracking of Morphologically Distinct Cell Populations in Time-Lapse Microscopy

Identifying morphologically distinct cell populations in time-lapse fluorescence microscopy is central to understanding how complex tissues develop and remodel, yet remains labor-intensive and subject to observer bias despite advances in cell segmentation. We present a generalizable computational framework for automate...