Author

Tim Hendriks

Maastricht UniversityORCID 0000-0003-2922-2953Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Molecular Biology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Research Focus:cell type annotation· 2 Organism:human· 2 Assay:metabolomics· 2 Assay:spatial transcriptomics· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Eva CuypersiD· 3 shared Ron M. A. HeereniD· 3 shared Gert B. EijkeliD· 2 shared Theodoros VisvikisiD· 2 shared Ann HoebeniD· 1 shared Benjamin BalluffiD· 1 shared Luca MarconatoiD· 1 shared Martinus P. G. BroeniD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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3 shared papersMolecular Biology

Eva CuypersORCID

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3 papers

Recent·Most cited

BioinformaticsNature MethodsPeer-reviewedOct 28, 2026

Thyra: Bridging Mass Spectrometry Imaging and SpatialData for Unified Multi-Modal Analysis

Theodoros Visvikis, Tim Hendriks, Wouter-Michiel Vierdag…·Eva Cuypers

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

DOI 10.1038/s41592-026-03305-5

imagingexperimental assay

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Molecular BiologybioRxivPreprintJul 14, 2026

Spatial Single Cell Lipid-Transcriptomic Coupling Reveals Metabolic Niches in Glioblastoma

Tim Hendriks, Gert B. Eijkel, Martinus P. G. Broen…·Eva Cuypers

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.

DOI 10.64898/2026.07.13.738204

humanspatial transcriptomics

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Molecular BiologyScientific ReportsPeer-reviewedNov 28, 2025

One Section, Two Worlds: Single-Cell Integration of MALDI-MSI and Spatial Transcriptomics on the Same Single Tissue Section

Tim Hendriks, Gert B. Eijkel, Theodoros Visvikis…·Eva Cuypers

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

28 citationstop 1%

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