Author

Erik Rodner

HTW Berlin - University of Applied SciencesORCID 0000-0002-3711-1498Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1

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Dominik FachetiD· 1 shared Felix A. GersiD· 1 shared Jens WesterhoffiD· 1 shared Mario KoddenbrockiD· 1 shared Simone ReberiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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1 shared paperBioinformatics

Dominik FachetORCID

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1 paper

Recent·Most cited

BioinformaticsPLoS Computational BiologyPeer-reviewedMay 5, 2026

Synthetic data enables human-grade microtubule analysis with foundation models for segmentation

Mario Koddenbrock, Jens Westerhoff, Dominik Fachet…·Erik Rodner

The paper introduces a synthetic dataset for microtubule segmentation and evaluates automated methods, finding that a foundation model achieves near-perfect performance when guided by synthetic data.

DOI 10.1371/journal.pcbi.1013901

imagingdeep learning

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