Cell tracking with accurate error prediction.
Europe PMC REST API · Indexed academic record · Source published: Wed Oct 08 2025 00:00:00 GMT+0000 (Coordinated Universal Time) · Indexed here: Thu Oct 08 2026 06:39:04 GMT+0000 (Coordinated Universal Time)
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Cell tracking is an indispensable tool for studying development by time-lapse imaging. However, existing cell trackers cannot assign confidence to predicted tracks, which prohibits fully automated analysis without manual curation. We present a fundamental advance: an algorithm that combines neural networks with statistical physics to determine cell tracks with error probabilities for each step in
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