napari-organoid-counter 0.2.4

A plugin to automatically count lung organoids using Deep Learning.

Napari Organoid Counter - Version 0.2 is out!

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!

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This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.

Installation

This plugin has been tested with python 3.9 and 3.10 - you may consider using conda 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 latest development version :

   pip install git+https://github.com/HelmholtzAI-Consultants-Munich/napari-organoid-counter.git

2. Additionally, you will then need to install one additional dependency:

   mim install "mmcv<2.2.0,>=2.0.0rc4"

For installing on a Windows machine directly from within napari, follow the instuctions here. Step 2 additionally needs to be performed here too (mim install "mmcv<2.2.0,>=2.0.0rc4").

What's new in v2?

Checkout our What's New in v2 here.

How to use?

After installing, you can start napari (either by typing napari in your terminal or by launching the application) and select the plugin from the drop down menu.

For more information on this plugin, its' intended audience, as well as 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 napari-aicsimageio^{[1] [2]} plugin for reading and processing CZI images.

[1] Eva Maxfield Brown, Dan Toloudis, Jamie Sherman, Madison Swain-Bowden, Talley Lambert, AICSImageIO Contributors (2021). AICSImageIO: Image Reading, Metadata Conversion, and Image Writing for Microscopy Images in Pure Python [Computer software]. GitHub. https://github.com/AllenCellModeling/aicsimageio

[2] Eva Maxfield Brown, Talley Lambert, Peter Sobolewski, Napari-AICSImageIO Contributors (2021). Napari-AICSImageIO: Image Reading in Napari using AICSImageIO [Computer software]. GitHub. https://github.com/AllenCellModeling/napari-aicsimageio

The latest version also uses models developed with the mmdetection package ^[3], see here

[3] Chen, Kai, et al. "MMDetection: Open mmlab detection toolbox and benchmark." arXiv preprint arXiv:1906.07155 (2019).

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, Harshavardhan Subramanian, & Marie Piraud. (2023). HelmholtzAI-Consultants-Munich/napari-organoid-counter: v0.2.0 (v0.2.0). Zenodo. https://doi.org/10.5281/zenodo.7859571

bibtex:

@software{christina_bukas_2022_6457904,
  author       = {Christina Bukas, Harshavardhan Subramanian, & Marie Piraud},
  title        = {{HelmholtzAI-Consultants-Munich/napari-organoid- 
                   counter: second release of the napari plugin for lung
                   organoid counting}},
  month        = apr,
  year         = 2023,
  publisher    = {Zenodo},
  version      = {v0.2.0},
  doi          = {10.5281/zenodo.7859571},
  url          = {https://doi.org/10.5281/zenodo.7859571}
}