Ron M. A. Heeren

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

CPMsi is a computational pipeline that efficiently processes and integrates large-scale MSI data, enabling faster analysis and discovery of molecular patterns across tissue sections.

This study integrates spatial transcriptomics and MALDI-MSI to reveal spatial lipid-gene coupling in glioblastoma, showing distinct metabolic niches in tumor-core and invasive regions.

The paper uses multimodal imaging and single-cell transcriptomics to identify LPCAT2-mediated membrane remodeling in granuloma macrophages during visceral leishmaniasis.

This paper integrates MALDI-MSI and spatial transcriptomics on the same tissue section to achieve precise spatial alignment and uncover metabolic and transcriptomic heterogeneity.