Author

Samuel E. Tusk

University of OxfordORCID 0000-0003-0359-8928Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:imaging· 1

Frequent Co-Authors

Dominik ŠamaniD· 1 shared Jack BardziliD· 1 shared Jack S. PetersiD· 1 shared Jan Christoph ThieleiD· 1 shared Justin L. P. BeneschiD· 1 shared Kishwar IqbaliD· 1 shared Philipp KukuraiD· 1 shared Stephen ThorpeiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBiophysics

Dominik ŠamanORCID

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1 paper

Recent·Most cited

Deep learning-based event classification of mass photometry data for optimal mass measurement at the single-molecule level

Kishwar Iqbal, Jan Christoph Thiele, Dominik Šaman, Jack S. Peters, Stephen Thorpe, Samuel E. Tusk, Jack Bardzil, Justin L. P. Benesch, Philipp Kukura

This paper introduces a deep learning method to classify mass photometry events, improving single-molecule mass measurement accuracy by reducing artifacts and enhancing resolving power.

ACS Nano · Jan 19, 2026Peer-reviewedBiophysics