Author

Klarinda de Zwaan

Delft University of TechnologyORCID 0009-0002-7410-8375Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Assay:fluorescence / live-cell microscopy· 2 Research Focus:cell-cell communication· 1 Research Focus:drug response / drug discovery· 1 Research Focus:spatial domain detection· 1 Approach:statistical model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Kristin S. GrußmayeriD· 2 shared Miyase TekpınariD· 2 shared Ran HuoiD· 2 shared Hana ValentaiD· 1 shared Hannah Lena Wienecke· 1 shared Hylkje J. GeertsemaiD· 1 shared Jelle Komen· 1 shared Myron N.F. HensgensiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBiophysics

Kristin S. GrußmayerORCID

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2 papers

Recent·Most cited

A Lightweight Deep Learning Framework for Fast, Real-Time Super-Resolution Fluctuation Imaging

Miyase Tekpınar, Jelle Komen, Hana Valenta, Ran Huo, Klarinda de Zwaan, Peter Dedecker, Nergis Tömen, Kristin S. Grußmayer

This paper introduces RESURF, a lightweight deep learning framework that enables real-time super-resolution fluctuation imaging with improved temporal and spatial resolution.

Biophysical Reports · Aug 6, 2026Peer-reviewedBiophysics

High-throughput single molecule microscopy with adaptable spatial resolution using exchangeable oligonucleotide labels

Klarinda de Zwaan, Ran Huo, Myron N.F. Hensgens, Hannah Lena Wienecke, Miyase Tekpınar, Hylkje J. Geertsema, Kristin S. Grußmayer

This paper introduces a workflow combining DNA-PAINT and SOFI to enable adaptable spatial resolution and faster imaging in super-resolution microscopy.

ACS Nano · Mar 27, 2025Peer-reviewedBiophysics