PT  - JOURNAL ARTICLE
AU  - Aspert, Théo
AU  - Hentsch, Didier
AU  - Charvin, Gilles
TI  - DetecDiv, a deep-learning platform for automated cell division tracking and replicative lifespan analysis
AID  - 10.1101/2021.10.05.463175
DP  - 2021 Jan 01
TA  - bioRxiv
PG  - 2021.10.05.463175
4099  - http://biorxiv.org/content/early/2021/10/09/2021.10.05.463175.short
4100  - http://biorxiv.org/content/early/2021/10/09/2021.10.05.463175.full
AB  - Automating the extraction of meaningful temporal information from sequences of microscopy images represents a major challenge to characterize dynamical biological processes. Here, we have developed DetecDiv, a microfluidic-based image acquisition platform combined with deep learning-based software for high-throughput single-cell division tracking. DetecDiv can reconstruct cellular replicative lifespans with an outstanding accuracy and provides comprehensive temporal cellular metrics using timeseries classification and image semantic segmentation.Competing Interest StatementThe authors have declared no competing interest.