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DeLTA

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.

:scroll: To get started check out the documentation at delta.readthedocs.io

:bug: If you encounter bugs or have questions about the software, please use Gitlab's issue system

You can also quickly test DeLTA on our data or your own with Google Colab for free here


See also our papers for more details:

Version 2: O’Connor OM, Alnahhas RN, Lugagne J-B, Dunlop MJ (2022) DeLTA 2.0: A deep learning pipeline for quantifying single-cell spatial and temporal dynamics. PLoS Comput Biol 18(1): e1009797

Version 1: Lugagne J-B, Lin H, & Dunlop MJ (2020) DeLTA: Automated cell segmentation, tracking, and lineage reconstruction using deep learning. PLoS Comput Biol 16(4): e1007673


Contributions

A big thank you to the following people who shared their data and training sets with us, they help us make DeLTA more generalizable:

Please reach out if you have created your own sets and think they would be helpful to the community!

Metadata

Release files for delta-microscopy 3.0.0

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Source distribution for delta-microscopy 3.0.0
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delta_microscopy-3.0.0-py3-none-any.whl Python 3 none any Details

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