Repository for the scikit-image, napari, & friends tutorial at I2K 2020

Use:

conda env create -f environment.yml

then

conda activate i2k

In an environment including pip, use:

pip install -U -r requirements.txt

We recommend that you use Python 3.8 for this tutorial. Both 3.7 and 3.9 should also work but have not been tested.

For the dask tutorial, we are going to be using some 3D + t datasets from the Cell Tracking Challenge, specifically:

• the C. elegans developing embryo training dataset (3GB), OR, if that is too large for you to comfortably download,
• the Chinese Hamster Ovarian (CHO) nuclei overexpressing GFP-PCNA training dataset (98MB)