Analyze brightfield images of organoids
Project description
Organoid analyzer
A Python tool for analyzing brightfield images of organoids.
Usage
Setup and installation
You can install the library directly either from PyPi or from this repository.
pip install organoid-analyzer
pip install "organoid-analyzer @ git+https://github.com/vaioic/organoid-analyzer.git@main"
If you need the latest bleeding-edge version (which likely contains bugs and other incomplete code)
pip install "organoid-analyzer @ git+https://github.com/vaioic/organoid-analyzer.git@dev"
Development
Using uv (Recommended)
This project uses uv to manage the development environment.
-
Install
uv- macOS or Linux:
curl -LsSf https://astral.sh/uv/install.sh | sh - Windows:
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
To check if you have
uvinstalled, open a terminal and runuv --version. - macOS or Linux:
-
Clone the repository
git clone git@github.com:vaioic/brightfield-organoid-analyzer.git cd brightfield-organoid-analyzer
-
Sync the environment (this will setup the correct virtual environment and dependencies)
uv sync -
Link this toolbox in editable mode in your analysis project
uv add --editable "path/to/brightfield-organoid-analyzer"
Note: You should change this to the published version when you are done.
Code style and testing
This project also uses ruff for ultra-fast linting and code formatting, and pytest for unit tests.
# Run linting checks
uv run ruff check
# Auto-format codebase
uv run ruff format
# Run test suite
uv run pytest
Issues
If you encounter any issues with running the code or have any questions, please create an Issue or send an email to opticalimaging@vai.org. If you are reporting a bug, please include any error messages to aid with troubleshooting.
License
This project is licensed under the GPLv3 License. See the LICENSE file for details.
Citing & Acknowledgements
This repository is publicly available for open-source use, but it is developed and maintained by the Optical Imaging Core at the Van Andel Institute. If code from this repository contributed to data used in a publication, abstract, or presentation, please cite and acknowledge our work based on your affiliation:
For External Users
Please cite this repository and acknowledge the author(s) in your publication's materials, methods, or acknowledgements section:
"Image analysis pipelines were adapted from open-source tools developed by the Optical Imaging Core at the Van Andel Institute (GitHub:brightfield-organoid-analyzer)."
If you require custom adjustments or advanced analysis support, please contact us at opticalimaging@vai.org.
For Internal Users & Close Collaborators
If you are an internal researcher or an external collaborator working directly with our staff, please include our Research Resource Identifier (RRID) in your materials and methods section:
"Image analysis and data processing were performed in collaboration with the Optical Imaging Core at the Van Andel Institute (RRID:SCR_021968)."
Please review the Acknowledgement and Authorship Guidelines on VAI's Core Technology and Services website
Contributors
Changelog
v0.1.0 (2026-07-03)
- Adapted code into a toolbox.
- Test that code works on EB cells [OIC-334]
Project details
Release history Release notifications | RSS feed
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