Napari Organoid Counter.
A napari plugin to automatically count lung organoids from microscopy imaging data. Note: this plugin only supports single-channel grayscale images.
Hold it for the demo!
This demo showcases the features of Version 0.2.13.
This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.
Installation
This plugin has been tested with python 3.11 - you may consider using conda or mamba to create your dedicated environment before running the napari-organoid-counter.
-
You can install
napari-organoid-countervia pip:pip install napari-organoid-counterTo install for a developer:
git clone https://github.com/HelmholtzAI-Consultants-Munich/napari-organoid-counterpip install -e .
For installing on a Windows machine directly from within napari, follow the instructions here.
Latest version features
Checkout Features of the latest version here.
How to use?
- To launch the plugin directly from your terminal:
napari -w napari-organoid-counter
- For convenience you can add a shell alias by adding this to your
~/.zshrc(macOS) or~/.bashrc(Linux):
alias organoid='napari -w napari-organoid-counter'
Then reload your shell config:
source ~/.zshrc # macOS
source ~/.bashrc # Linux
You can now launch the plugin simply by running:
organoid
- Alternatively, you can also start napari manually and select the plugin from the drop down menu.
For more information on this plugin, its intended audience, and a Quickstart guide go to our Quickstart guide.
Contributing
Contributions are very welcome. Tests can be run with [pytest], please ensure the coverage at least stays the same before you submit a pull request.
License
Distributed under the terms of the MIT license, "napari-organoid-counter" is free and open source software
Dependencies
napari-organoid-counter uses the BioIO[1] for reading and processing images.
[1] Eva Maxfield Brown, Dan Toloudis, Jamie Sherman, Madison Swain-Bowden, Talley Lambert, Sean Meharry, Brian Whitney, AICSImageIO Contributors (2023). BioIO: Image Reading, Metadata Conversion, and Image Writing for Microscopy Images in Pure Python [Computer software]. GitHub. https://github.com/bioio-devs/bioio
Issues
If you encounter any problems, please file an issue along with a detailed description.
Citing
If you use this plugin for your work, please cite it using the following:
Christina Bukas, Francesco Campi, Abdulkader Ghandoura, & Piraud, M. (2026). HelmholtzAI-Consultants-Munich/napari-organoid-counter: v0.2.6 (v0.2.6). Zenodo. https://doi.org/10.5281/zenodo.19824587
bibtex:
@software{christina_bukas_2026_19824587,
author = {Christina Bukas and
Francesco Campi and
Abdulkader Ghandoura and
Piraud, Marie},
title = {HelmholtzAI-Consultants-Munich/napari-organoid-
counter: v0.2.6
},
month = apr,
year = 2026,
publisher = {Zenodo},
version = {v0.2.6},
doi = {10.5281/zenodo.19824587},
url = {https://doi.org/10.5281/zenodo.19824587},
}
Metadata
Release files for napari-organoid-counter 0.2.14
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| napari_organoid_counter-0.2.14.tar.gz | 79.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| napari_organoid_counter-0.2.14-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 79.4 MB
Release files / napari_organoid_counter-0.2.14.tar.gz
| Download URL | napari_organoid_counter-0.2.14.tar.gz |
|---|---|
| Size | 79.3 MB |
| Tags | Source |
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No |
| Uploaded via |
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|
Release files / napari_organoid_counter-0.2.14-py3-none-any.whl
| Download URL | napari_organoid_counter-0.2.14-py3-none-any.whl |
|---|---|
| Size | 51.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.16
|