Turn Python-based image processing workflows into algorithms that gain extra functionalities.
- Turn your algorithms into web servers and run computations from QuPath, Napari, or Python via HTTP requests.
stardist_blobs.mp4
- Generate dock widgets to run your algorithms interactively in Napari.
oripy_threshold.mp4
- Run your algorithms tile-by-tile on the input data.
tiles.mp4
- Stream results to inspect them in real-time.
yolo-stream.mp4
Install the imaging-server-kit package with pip:
pip install imaging-server-kit
or clone the project and install the development version:
git clone https://github.com/Imaging-Server-Kit/imaging-server-kit.git
cd imaging-server-kit
pip install -e .
The documentation is available on this page.
Contributions are very welcome.
This software is distributed under the terms of the BSD-3 license.
If you encounter any problems, please file an issue along with a detailed description.
If you use the Imaging Server Kit in the context of scientific publication, you can cite it as below.
BibTeX:
@software{mallory_wittwer_2025_15673152,
author = {Mallory Wittwer and Edward Andò and Maud Barthélemy and Florian Aymanns},
title = {Imaging-Server-Kit/imaging-server-kit: v0.0.14},
url = {https://doi.org/10.5281/zenodo.15673152},
doi = {10.5281/zenodo.15673152},
version = {v0.0.14},
year = 2025,
}
We thank the Personalized Health and Related Technologies for funding this project.