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
To install this package, run one of the following:
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
Mar 11, 2022 at 19:44
License
MIT
Total Downloads
89.7K
Version Downloads
19.4K
Supported Platforms
GitHub Repository
https://gitlab.com/dunloplab/delta