Author

K.-J. van der Kolk

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 1 Cancer Biology· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Organism:zebrafish· 3 Approach:experimental assay· 2 Assay:CRISPR screen· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Approach:genetic perturbation / CRISPR· 1 Research Focus:perturbation response prediction· 1

Frequent Co-Authors

Jan de SonnevilleiD· 2 shared Alexander D. Crawford· 1 shared Annemarie H. MeijeriD· 1 shared Camila Vicencio EsguerraiD· 1 shared Carl Johannes KoschmanniD· 1 shared E. Malaga-Trillo· 1 shared Gunja MishraiD· 1 shared H. P. Spaink· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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2 shared papersCancer Biology

Jan de SonnevilleORCID

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Author profile →

3 papers

Recent·Most cited

Cancer Biologynpj Biomedical Innovations.Peer-reviewedApr 23, 2025

Automated microinjection for zebrafish xenograft models

Yi Ding, K.-J. van der Kolk, Wietske van der Ent…·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.

13 citationstop 5%

zebrafishexperimental assay

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BioengineeringbioRxivPreprintJul 4, 2023

Comparison of robotic automated and manual injection methods in zebrafish embryos for high throughput RNA silencing using CRISPR-CasRx

J. Abugattas-Nunez Del Prado, Y. Ding, J. de Sonneville…·H. P. Spaink

This study compares robotic and manual injection methods for CRISPR-CasRx RNA knockdown in zebrafish embryos, finding similar efficiency and phenotype rates between approaches.

DOI 10.1101/2023.07.04.547651

zebrafishCRISPR screen

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Molecular BiologyPLoS ONEPeer-reviewedJan 7, 2019

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

María Lorena Cordero-Maldonado, Simon Perathoner, K.-J. van der Kolk…·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.

31 citations

zebrafishdeep learning

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