We focus our work on python 3.7 due to the current neural network being developed on tensorflow 1. In the near future we will migrate the networ to pytorch to support more recent versions of all packages.
We focus our work on python 3.8 due to the current neural network being developed on tensorflow 1. In the near future we will migrate the network to pytorch to support more recent versions of all packages.
## Issues
## Issues
All issues are managed within the gitlab [ repository ](https://git.ecdf.ed.ac.uk/swain-lab/aliby/aliby/-/issues), if you don't have an account on the University of Edinburgh's gitlab instance and would like to submit issues please get in touch with [Prof. Peter Swain](mailto:peter.swain@ed.ac.uk).
All issues are managed within the gitlab [ repository ](https://gitlab.com/aliby/aliby/-/issues), if you don't have an account on the University of Edinburgh's gitlab instance and would like to submit issues please get in touch with [Prof. Peter Swain](mailto:peter.swain@ed.ac.uk).
End-to-end processing of cell microscopy time-lapses. ALIBY automates segmentation, tracking, lineage predictions, post-processing and report production. It leverages the existing Python ecosystem and open-source scientific software available to produce seamless and standardised pipelines.
End-to-end processing of cell microscopy time-lapses. ALIBY automates segmentation, tracking, lineage predictions, post-processing and report production. It leverages the existing Python ecosystem and open-source scientific software available to produce seamless and standardised pipelines.
This will automatically install the [ BABY ](https://git.ecdf.ed.ac.uk/swain-lab/aliby/baby) segmentation software. Support for additional segmentation and tracking algorithms is under development.
This will automatically install the [ BABY ](https://gitlab.com/aliby/baby) segmentation software. Support for additional segmentation and tracking algorithms is under development.