Cell Analyzer for Flow Experiment

CAFE is an open-source, free, no-code, web-app platform for high-dimensional spectral flow cytometry data (SFCM) analysis. CAFE has been developed in Python and it can run seamlessly on regular computers operating on either Windows or macOS/Linux. The application will allow the analysis and visualization of SFCM data to produce high-resolution publication-ready figures that support reproducible research of immune cell populations.

Update

CAFE is published in Bioinformatics

Md Hasanul Banna Siam, Md Akkas Ali, Donald Vardaman, Satwik Acharyya, Mallikarjun Patil, Daniel J Tyrrell, CAFE: An Integrated Web App for High-Dimensional Analysis and Visualization in Spectral Flow Cytometry, Bioinformatics, 2025;, btaf176,

[DOI: 10.1093/bioinformatics/btad569].