Author

Cassian Afting

Heidelberg UniversityORCID 0009-0004-1669-3320Unclaimed 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 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:trajectory inference· 1 Organism:zebrafish· 1

Frequent Co-Authors

Christina SchlagheckiD· 2 shared Joachim WittbrodtiD· 2 shared Lucie ŽílováiD· 2 shared Encarnación Sánchez Salvador· 1 shared Hanns‐Martin LorenziD· 1 shared Irene U. WackeriD· 1 shared María HerreraiD· 1 shared Nicolaj S. HackertiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersDevelopmental Biology

Christina SchlagheckORCID

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2 papers

Recent·Most cited

Developmental BiologyiSciencePeer-reviewedMay 15, 2026

Extrinsic polarity cues control lamination versus cluster-based organisation in vertebrate retinal development

Christina Schlagheck, Xenia Podlipensky, Cassian Afting…·Joachim Wittbrodt

This study shows that extrinsic polarity cues determine whether retinal organoids develop a laminated epithelium or cluster-based organization, revealing plasticity in vertebrate retinal development.

DOI 10.1016/j.isci.2026.115684

zebrafishexperimental assay

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Developmental BiologyPLoS BiologyPeer-reviewedJan 27, 2026

Deep learning predicts tissue outcomes in retinal organoids

Cassian Afting, Norin Bhatti, Christina Schlagheck…·Tarik Exner

This paper uses deep learning to predict tissue outcomes in retinal organoids before they are visually discernible, improving understanding of developmental trajectories.

3 citationstop 5%

humanimaging

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