Author

Christina Lillesaar

Universitätsklinikum WürzburgORCID 0000-0002-5166-2851Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Developmental Biology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1 Organism:zebrafish· 1

Frequent Co-Authors

Alexander DürriD· 1 shared Anupam SahiD· 1 shared Christoph M. FlathiD· 1 shared Cora R. von CollenbergiD· 1 shared Corinna MartiniD· 1 shared Dennis SegebarthiD· 1 shared Dominik Fiedler· 1 shared Hans‐Christian PapeiD· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperNeuroscience

Alexander DürrORCID

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2 papers

Recent·Most cited

On the objectivity, reliability, and validity of deep learning enabled bioimage analyses

Dennis Segebarth, Matthias Griebel, Nikolai Stein, Cora R. von Collenberg, Corinna Martin, Dominik Fiedler, Lucas B. Comeras, Anupam Sah, Victoria Schoeffler, Teresa Lüffe, Alexander Dürr, Rohini Gupta, Manju Sasi, Christina Lillesaar, Maren Denise Lange, , Robert Blum

This study evaluates deep learning methods for bioimage analysis, showing that integrating ground truth estimation and model training improves objectivity, reliability, and validity.

eLife · Oct 19, 2020Peer-reviewedNeuroscience

Fgf3 is crucial for the generation of monoaminergic cerebrospinal fluid contacting cells in zebrafish

Isabel Reuter, Jana Jäckels, Susanne Kneitz, Jochen Kuper, Klaus‐Peter Lesch, Christina Lillesaar

This study identifies Fgf3 as essential for generating monoaminergic cerebrospinal fluid-contacting cells in zebrafish hypothalamus, showing its role through regulation of etv5b and a compensatory mechanism.

Biology Open · Jan 1, 2019Peer-reviewedDevelopmental Biology