This release is a pre-release and may not be stable for production use.
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:
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:
- Simon van Vliet at University of Basel
- Zoran Marinković and Marianne Grognot in Philippe Nghe's group at ESPCI Paris
- Noah Olsman and Daniel Eaton in Johan Paulsson's group at Harvard
- Shuai Yang in Fan Jin's group at Shenzhen Institutes of Advanced Technology
- Jordi van Gestel and Noam Golan in Avigdor Eldar's group at Tel-Aviv University
Please reach out if you have created your own sets and think they would be helpful to the community!
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