Article

DeLTA: Automated cell segmentation, tracking, and lineage reconstruction using deep learning

2019-07-31

Abstract excerpt

Microscopy image analysis is a major bottleneck in quantification of single-cell microscopy data, typically requiring human supervision and curation, which limit both accuracy and throughput. To address this, we developed a deep learning-based image analysis pipeline that performs segmentation, tracking, and lineage reconstruction. Our analysis focuses on time-lapse movies of Escherichia coli cells trapped in a “...

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Literature Corpus work: 8df0b13e-5236-5a6c-bbfb-96776cb2acbf
DOI: 10.1101/720615

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