scportrait 1.3.4

Computational framework to generate single cell datasets from raw microscopy images.

scPortrait is a scalable toolkit to generate single-cell representations from raw microscopy images.

Getting started

Please refer to our documentation, in particular:

• Introduction
• Tutorials

Installation from Github

Check out the docs for complete installation instructions. scPortrait currently supports Python 3.10, 3.11 and 3.12.

To get started you can install scPortrait via pip:

pip install scportrait

Limitations

Currently the scPortrait framework is being developed using Linux and macOS, and only provides limited Windows support. Please refer to this GitHub issue for more information.

Citing our Work

scPortrait was created by Sophia Mädler, Niklas Schmacke and Georg Wallmann in the labs of Matthias Mann, Veit Hornung and Fabian Theis in 2024 and is actively being developed. If you are interested in contributing please reach out to the developers.

If you use our code please cite this manuscript:

SPARCS, a platform for genome-scale CRISPR screening for spatial cellular phenotypes Niklas Arndt Schmacke, Sophia Clara Maedler, Georg Wallmann, Andreas Metousis, Marleen Berouti, Hartmann Harz, Heinrich Leonhardt, Matthias Mann, Veit Hornung bioRxiv 2023.06.01.542416; doi: https://doi.org/10.1101/2023.06.01.542416

Contributing

If you like this software, consider giving us a star to boost our visibility! For detailed guidelines on how to contribute, please refer to our contributing guide.

We welcome all types of contributions! You can:

• Post a new issue if you encounter a bug or have a feature request.
• Clone the repository, create a new branch, and submit a pull request.
• Join the conversation in our discussions for more interactive participation.