Author

Til Driehorst

Universitätsmedizin Göttingen

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1

Frequent Co-Authors

Christoph F. SchmidtiD· 2 shared Daniel HaertteriD· 2 shared Lara HaukeiD· 2 shared Wolfram‐Hubertus ZimmermanniD· 2 shared Andreas Primeßnig· 1 shared Branimir Berečić· 1 shared Guobin BaoiD· 1 shared Kengo NishiiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersBiophysics

Christoph F. SchmidtORCID

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2 papers

Recent·Most cited

Sarcomere dynamic instability and stochastic heterogeneity drive robust cardiomyocyte contraction

Daniel Haertter, Lara Hauke, Til Driehorst, Kengo Nishi, Wolfram‐Hubertus Zimmermann, Christoph F. Schmidt

This study shows that cardiac sarcomeres exhibit stochastic heterogeneity and dynamic instability, which enable robust contraction despite mechanical constraints.

eLife · Aug 26, 2026Peer-reviewedBiophysics

SarcAsM: AI-based multiscale analysis of sarcomere organization and contractility in cardiomyocytes

Daniel Haertter, Lara Hauke, Til Driehorst, Yuxi Long, Guobin Bao, Andreas Primeßnig, Branimir Berečić, Lukas Cyganek, Malte Tiburcy, Christoph F. Schmidt, Wolfram‐Hubertus Zimmermann

SarcAsM provides a multiscale analysis tool for sarcomere structure and dynamics in cardiomyocytes using deep learning and graph-based methods.

bioRxiv · Apr 29, 2025 · PreprintBioinformatics