Author

Claudia Buerger

Goethe University FrankfurtORCID 0000-0002-7838-197XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Elina NürnbergiD· 1 shared Markus ReischliD· 1 shared Mathias HafneriD· 1 shared Nathalie CouturieriD· 1 shared Roman BruchiD· 1 shared Rüdiger RudolfiD· 1 shared Tiziana CesettiiD· 1 shared Torsten FauthiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioengineering

Elina NürnbergORCID

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1 paper

Recent·Most cited

BioengineeringbioRxivPreprintJan 23, 2026

Advanced 3D spheroid-based skin models and deep-learning based image analysis enable in-depth investigation of keratinocyte differentiation and barrier function

Tiziana Cesetti, Claudia Buerger, Nathalie Couturier…·Rüdiger Rudolf

The paper introduces 3D spheroid-based skin models and a deep-learning pipeline to study keratinocyte differentiation and barrier function, identifying NHK-E6/E7 as the best alternative to primary keratinocytes.

DOI 10.64898/2026.01.21.700040

humanimaging

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