Deep-learning framework for detecting and tracking endocytic and exocytic events in TIRF-SIM live-cell microscopy.
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Updated
Mar 30, 2026 - Python
Deep-learning framework for detecting and tracking endocytic and exocytic events in TIRF-SIM live-cell microscopy.
Predicting successful CME events using only clathrin markers. 🦠📈
A Python implementation of the obstacle problem described in the paper "Morphological control of receptor-mediated endocytosis"
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