Author

Richard Danis

ETH Zurich

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

Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 1 Approach:contrastive learning· 1 Assay:imaging· 1 Approach:optimal transport· 1

Frequent Co-Authors

Aline LinderiD· 1 shared Ines LüchtefeldiD· 1 shared Klaus EyeriD· 1 shared Luca Johannes SchlotheuberiD· 1 shared Michael VollenweideriD· 1 shared Sven Gutjahr· 1 shared Tiago Hungerland· 1 shared Valentina BoevaiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

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1 paper

Recent·Most cited

High-Resolution Time-Lapse Imaging of Droplet-Cell Dynamics via Optimal Transport and Contrastive Learning

Luca Johannes Schlotheuber, Michael Vollenweider, Sven Gutjahr, Tiago Hungerland, Richard Danis, Weronika Ormaniec, Aline Linder, Valentina Boeva, Ines Lüchtefeld, Klaus Eyer

This paper develops a method to track microfluidic droplets over time using optimal transport and contrastive learning, achieving high accuracy in tracking without labeled data.

Lab on a Chip · Jan 1, 2025Peer-reviewedBioinformatics