Article

DeLTA 2.0: A deep learning pipeline for quantifying single-cell spatial and temporal dynamics

2021-08-10

Abstract excerpt

Improvements in microscopy software and hardware have dramatically increased the pace of image acquisition, making analysis a major bottleneck in generating quantitative, single-cell data. Although tools for segmenting and tracking bacteria within time-lapse images exist, most require human input, are specialized to the experimental set up, or lack accuracy. Here, we introduce DeLTA 2.0, a purely Python workflow t...

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Literature Corpus work: 03d6e35e-2f11-5a8e-a3d3-47325aa88b96
DOI: 10.1101/2021.08.10.455795

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