Radial Image Analysis Toolkit (RadIAnTkit)j is a Python3.8+ package containing tools for full-stack image analysis - from proprietary format conversion to tiff to cellular nuclei segmentation, from the selection of G1 nuclei to the measurement of radial patterns.
For more available features, check out our docs!
radiantkit
has been tested with Python 3.8 and 3.9. We recommend installing it using pipx
(see below) to avoid dependency conflicts with other packages. The packages it depends on are listed in our dependency graph. We use poetry
to handle our dependencies.
We recommend installing radiantkit
using pipx
. Check how to install pipx
here if you don't have it yet!
Once you have pipx
ready on your system, install the latest stable release of radiantkit
by running:
pipx install radiantkit
If you see the stars (✨ 🌟 ✨), then the installation went well!
Alternatively, you can use pipx
(v0.15.5+) to install directly from git, with the command:
pipx install git+https://github.com/ggirelli/radiantkit.git --force
Run: radiant -h
.
All RadIAnTkit tools are accessible from the terminal using the radiant
keyword.
usage: radiant [-h] [--version] sub_command ...
We welcome any contributions to radiantkit
. In short, we use black
to standardize code format. Any code change also needs to pass mypy
checks. For more details, please refer to our contribution guidelines if this is your first time contributing! Also, check out our code of conduct.
MIT License - Copyright (c) 2020-21 Gabriele Girelli