Automated Cell Lineage Reconstruction using Label-Free 4D Microscopy.

bioRxiv

Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, California, United State of America.

Published: January 2024

Here we describe embGAN, a deep learning pipeline that addresses the challenge of automated cell detection and tracking in label-free 3D time lapse imaging. embGAN requires no manual data annotation for training, learns robust detections that exhibits a high degree of scale invariance and generalizes well to images acquired in multiple labs on multiple instruments.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10849476PMC
http://dx.doi.org/10.1101/2024.01.20.576449DOI Listing

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