Updated summary/description
@@ -37,11 +37,13 @@ about:
license: MIT
license_family: MIT
license_file: LICENSE
- summary: 'Python package for segmenting and tracking single cells for bacteria'
+ 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'
description: |
- DeLTA performs segmentation, tracking and lineage reconstruction on time-lapse
- microscopy movies for bacterial colonies. DeLTA is trained for experiments in
- the mother machine as well on two dimensional surfaces.
+ 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.
dev_url: https://gitlab.com/dunloplab/delta
extra:
