Wouter-Michiel Vierdag

Thyra converts Mass Spectrometry Imaging data into the SpatialData format to improve interoperability and enable multi-modal spatial analysis.

The paper introduces spatialproteomics, a Python toolbox for analyzing highly multiplexed fluorescence images, demonstrating its use on lymph node and lymphoma data.

This paper introduces a framework for high-plex spectral imaging using DNA-barcoded labeling and programmable signal amplification to improve panel design and unmixing accuracy.

SpatialData, a Zarr/OME-NGFF-based format plus Python library, unifies images, labels, points, shapes and tables across spatial omics platforms with coordinate alignment, lazy loading and cross-modal aggregation.