This repository contains the scripts used in the paper
A detector-independent quality score for cell segmentation without ground truth in 3D live fluorescence microscopy, Vanaret et al. (2023)
Major dependancies to be installed are :
- numpy : basic library for array manipulation
- matplotlib : basic library to plot figures
- tifffile : library to read and write tiff images
- napari : 3D image visualizer
- scipy : general library for scientific python
- numba : library to make python fast
From your main Conda environment (or from a custom one), refer to the dependancies' individual documentations to install them. This can usually be done easily using pip.
To install the repositiory package:
# from repo root (the DOT "." is important !!!)
pip install -e .
You also need to install the codebase for the software U-track3D from its repo.
The data used in the paper is available at this [link]. WILL BE MADE AVAILABLE SOON
In the scripts, replace path_to_root = ...
by the path to the data folder.