Open access
Jul 2026
Spatialproteomics: an interoperable toolbox for analyzing highly multiplexed fluorescence image data
This work demonstrates an end-to-end analysis from raw images to statistical characterization of how cell type composition and spatial distribution vary across indolent and aggressive lymphomas and presents a Python-based toolbox that supports end-to-end analysis of highly multiplexed imaging data.
Matthias Meyer-Bender, Harald Vöhringer, C. Schniederjohann et al.
· Nature Methods · 1 citation