Skip to main content

Napari Organoid Counter.

napari hub stability-stable DOI License PyPI Python Version tests codecov

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!

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.

  1. You can install napari-organoid-counter via pip:

    pip install napari-organoid-counter

    To install for a developer:

    git clone https://github.com/HelmholtzAI-Consultants-Munich/napari-organoid-counter pip 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?

  1. To launch the plugin directly from your terminal:
napari -w napari-organoid-counter
  1. 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
  1. 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},
}

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

napari_organoid_counter-0.2.14.tar.gz (79.3 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

napari_organoid_counter-0.2.14-py3-none-any.whl (51.2 kB view details)

Uploaded Python 3

File details

Details for the file napari_organoid_counter-0.2.14.tar.gz.

File metadata

  • Download URL: napari_organoid_counter-0.2.14.tar.gz
  • Upload date:
  • Size: 79.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.11.16

File hashes

Hashes for napari_organoid_counter-0.2.14.tar.gz
Algorithm Hash digest
SHA256 c47c2bc284c7cc2b6ef0525e2555b1fc3fdd628f767dca7cc1183299a801f165
MD5 bf9dd41a85fb2005acf4e68288929379
BLAKE2b-256 8eef574dff33d18a897a8eb814a87a8a9b611bbe9ff608da768452b906dc8881

See more details on using hashes here.

File details

Details for the file napari_organoid_counter-0.2.14-py3-none-any.whl.

File metadata

File hashes

Hashes for napari_organoid_counter-0.2.14-py3-none-any.whl
Algorithm Hash digest
SHA256 4560df36c7421b52a7999e5ee0111b0df80952a4d3a433720bfbcd42c336b3b5
MD5 569ddb42cc0a8c5a5b8e7f0a0a16b917
BLAKE2b-256 0fcc6107d3291d94e72d1d503e9f18559e7c330337851261469ed870dce0293f

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

0.2.14 This release

2 files

0.2.13

2 files

0.2.12

2 files

0.2.11

2 files

0.2.10

2 files

0.2.9

2 files

0.2.8

2 files

0.2.7

2 files

0.2.5

2 files

0.2.4

2 files

0.2.3

2 files

0.2.2

2 files

0.2.1

2 files

0.2.0

2 files

0.1.1

2 files

0.1.0

2 files

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page