Author

Jan de Sonneville

Leiden University Medical CenterORCID 0000-0002-6399-7042Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Organism:zebrafish· 2 Approach:deep learning· 1 Approach:experimental assay· 1

Frequent Co-Authors

K.-J. van der Kolk· 2 shared Alexander D. Crawford· 1 shared Annemarie H. MeijeriD· 1 shared Camila Vicencio EsguerraiD· 1 shared Carl Johannes KoschmanniD· 1 shared Gunja MishraiD· 1 shared Herman P. SpainkiD· 1 shared Jana M. Vidal Teuton· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersCancer Biology

K.-J. van der Kolk

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2 papers

Recent·Most cited

Automated microinjection for zebrafish xenograft models

Yi Ding, K.-J. van der Kolk, Wietske van der Ent, Michele Scotto di Mase, Saskia Kowald, Jenny Huizing, Jana M. Vidal Teuton, Gunja Mishra, Maxime Kempers, Rusul Almter, Sandra Kunz, Laurine Munier, Carl Johannes Koschmann, Sebastian M. Waszak, Vincenzo Di Donato, , Jan de Sonneville

This paper develops an automated microinjection robot for zebrafish xenograft models, achieving 60% success rate and 70% survival rate, with twice the speed of manual injections.

npj Biomedical Innovations. · Apr 23, 2025Peer-reviewedCancer Biology

Deep learning image recognition enables efficient genome editing in zebrafish by automated injections

María Lorena Cordero-Maldonado, Simon Perathoner, K.-J. van der Kolk, Ralf Boland, Ursula Heins-Marroquin, Herman P. Spaink, Annemarie H. Meijer, Alexander D. Crawford, Jan de Sonneville

This paper develops a deep learning system for automated microinjection in zebrafish embryos, achieving efficiency comparable to manual methods and enabling high-throughput genome editing.

PLoS ONE · Jan 7, 2019Peer-reviewedMolecular Biology