delta2
DeLTA (Deep Learning for Time-lapse Analysis) is a deep learning-based image processing pipeline for segmenting and tracking single cells in time-lapse microscopy movies
DeLTA (Deep Learning for Time-lapse Analysis) is a deep learning-based image processing pipeline for segmenting and tracking single cells in time-lapse microscopy movies
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DeLTA can process movies of rod-shaped bacteria growing in 2D setups such as agarose pads, as well as movies of E. coli cells trapped in a microfluidic device known as a mother machine. The pipeline is centered around two U-Net neural networks that are used for binary segmnetation and tracking cells frame to frame.
Summary
DeLTA (Deep Learning for Time-lapse Analysis) is a deep learning-based image processing pipeline for segmenting and tracking single cells in time-lapse microscopy movies
Last Updated
Oct 28, 2021 at 05:00
License
MIT
Total Downloads
61
Version Downloads
0
GitHub Repository
https://gitlab.com/dunloplab/delta