Author

Johannes Jahn

University of FreiburgORCID 0000-0003-0022-1957Unclaimed 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 Research Focus:differential expression· 1 Organism:Drosophila· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Adrian Boehm· 1 shared Alexis HofherriD· 1 shared Anne-Kathrin ClasseniD· 1 shared Berenike Fajen· 1 shared Clara Consoli· 1 shared Friederike Selbach· 1 shared Greta Theresa Liedtke· 1 shared Lukas WestermanniD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Adrian Boehm

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintAug 13, 2025

Deep learning-based image quantification of epithelial cell shapes and its application to polycystic kidney disease

Johannes Jahn, Alexis Hofherr, Clara Consoli…·Michael Köttgen

This paper develops a deep learning pipeline to quantify epithelial cell shape and tight junctions, applied to ADPKD models and Drosophila egg chambers to study morphogenetic changes.

DOI 10.1101/2025.08.13.670046

humanDrosophila

𝕏 PostBluesky