Author

Dominik Šaman

University of OxfordORCID 0000-0002-3168-8544Unclaimed 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 Organism:human· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Justin L. P. BeneschiD· 2 shared Amar J. AzadiD· 1 shared Bettina WarscheidiD· 1 shared Carol V. RobinsoniD· 1 shared Charlotte L. Hooper· 1 shared Christopher John SchofieldiD· 1 shared Dieter O. FürstiD· 1 shared Georg K. A. HochbergiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBiophysics

Justin L. P. BeneschORCID

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2 papers

Recent·Most cited

BiophysicsACS NanoPeer-reviewedJan 19, 2026

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…·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.

5 citationstop 1%

imagingdeep learning

Molecular BiologybioRxivPreprintJan 5, 2024

Cardiac stress leads to regulation of Filamin C dimerisation via an ancient phosphorylation-modulated interaction with HSPB7

Zihao Wang, Guodong Cao, Miranda P. Collier…·Justin L. P. Benesch

The paper investigates how cardiac stress regulates Filamin C dimerisation through phosphorylation-modulated interactions with HSPB7, revealing evolutionary conservation of this mechanism.

2 citations

humanstatistical model