Author

Corinna Schuler

Essen University HospitalORCID 0000-0002-1371-0779Unclaimed 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:cell type annotation· 1 Approach:deep learning· 1 Assay:imaging· 1

Frequent Co-Authors

Alexandra LöweiD· 1 shared Anne Kauter· 1 shared Christian SiebeniD· 1 shared Eva MülleriD· 1 shared Giebel BerndiD· 1 shared Juliane PfeiliD· 1 shared Michael M. LaueiD· 1 shared Mirko TrillingiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Alexandra LöweORCID

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1 paper

Recent·Most cited

Label-free detection of individual virus-infected cells using deep learning

Juliane Pfeil, Corinna Schuler, Eva Müller, Shakhnaz Akhmedova, Alexandra Löwe, Anne Kauter, Tobias Tertel, Giebel Bernd, Michael M. Laue, Vu Thuy Khanh Le‐Trilling, Christian Sieben, Mirko Trilling, Roland Schwarzer, Nils Körber

This paper introduces a deep learning model to identify virus-infected cells from light microscopy images without using labels or stains, achieving up to 96% classification accuracy.

bioRxiv · Jan 15, 2026 · PreprintBioinformatics