Author

Marrit M. E. Tholen

Eindhoven University of TechnologyORCID 0000-0002-4066-6064Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2 Biophysics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:imaging· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:microscopy & imaging analysis· 1

Frequent Co-Authors

Lorenzo AlbertazziiD· 3 shared Cristina Izquierdo-LozanoiD· 2 shared Francesca GrisoniiD· 2 shared Anna ŚwietlikowskaiD· 1 shared Daan van de KerkhofiD· 1 shared Francesca CortopassiiD· 1 shared Hao Cao· 1 shared Maarten MerkxiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioinformatics

Lorenzo AlbertazziORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Single-molecule imaging and tracking on clinical liquid biopsies reveals cancer biomarkers nanoscale organization and heterogeneity

Marrit M. E. Tholen, Roger Riera, Tijmen H. W. Hijzelaar, Hao Cao, Francesca Cortopassi, Meike E. Moers, Mitko Veta, Marjan J. Cruijsen, Daan van de Kerkhof, Volkher Scharnhorst, Lorenzo Albertazzi

This paper develops a method to analyze cancer biomarkers at the nanoscale using single-molecule imaging on clinical liquid biopsies, revealing patient-specific heterogeneity and enabling cancer cell classification.

bioRxiv · Apr 15, 2026 · PreprintBiophysics

"Visualize, describe, compare" - nanoinformatics approaches for material-omics

Cristina Izquierdo-Lozano, Marrit M. E. Tholen, Valentina Girola, Anna Świetlikowska, Maarten Merkx, Francesca Grisoni, Lorenzo Albertazzi

The paper introduces a computational package for visualizing, describing, and comparing nanoparticle datasets from super-resolution microscopy to analyze material properties and heterogeneity.

ACS Nano · Jan 21, 2026Peer-reviewedBioinformatics

nanoFeatures: a cross-platform application to characterize nanoparticles from super-resolution microscopy images

Cristina Izquierdo-Lozano, Niels van Noort, Stijn van Veen, Marrit M. E. Tholen, Francesca Grisoni, Lorenzo Albertazzi

nanoFeatures is a cross-platform tool for quantitative analysis of super-resolution microscopy images of nanoparticles, extracting features like size, shape, and molecular abundance.

Nanoscale · Jan 1, 2024Peer-reviewedBioinformatics