Automated microinjection for zebrafish xenograft models

Abstract Zebrafish xenograft models are increasingly recognized for predicting patient responses to cancer therapeutics, suggesting their potential as clinical diagnostic tools. However, precise microinjection of cancer cells into numerous small and fragile zebrafish larvae is laborious, requires extensive training for new operators, and often yields variable results, limiting their clinical and drug discovery applications. To address these challenges, we have designed, built, and validated an automated microinjection robot. The robot performs injections into the vasculature, perivitelline space, and hindbrain ventricle in both fully automated and semi-automated modes. Combined results demonstrate an average injection success rate of approximately 60% and larvae survival exceeding 70%, comparable to manual methods, with the fully automated mode being twice as fast. This automation reduces the need for extensive personnel training while enhancing reproducibility, efficiency, and accuracy, paving the way for more extensive use of zebrafish xenograft models in drug discovery and patient diagnostics.

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Publication Details

Journal
npj Biomedical Innovations.
Published
2025-04-23
DOI
https://doi.org/10.1038/s44385-025-00016-y
Citations
3
Primary Topic
Zebrafish Biomedical Research Applications
Type
article
Field-Weighted Citation Impact
3.45

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Automated microinjection for zebrafish xenograft models

Carl Koschmann, Michele Scotto di Mase, Camila Vicencio Esguerra, Lasse D. Jensen et al.
3 citations
npj Biomedical Innovations.
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article

Automated microinjection for zebrafish xenograft models

Carl Koschmann, Michele Scotto di Mase, Camila Vicencio Esguerra, Lasse D. Jensen, Yi Ding, Peter ten Dijke, Sebastian M. Waszak, Jan de Sonneville, Wietske van der Ent, Sandra Kunz, Saskia Kowald, Sylvia Dyballa, Vincenzo Di Donato, Kees-Jan van der Kolk, Rusul Almter, Jenny Huizing, Jana M. Vidal Teuton, Maxime Kempers, Gunja Mishra, Laurine Munier
article en
3 citations

Abstract

Abstract Zebrafish xenograft models are increasingly recognized for predicting patient responses to cancer therapeutics, suggesting their potential as clinical diagnostic tools. However, precise microinjection of cancer cells into numerous small and fragile zebrafish larvae is laborious, requires extensive training for new operators, and often yields variable results, limiting their clinical and drug discovery applications. To address these challenges, we have designed, built, and validated an automated microinjection robot. The robot performs injections into the vasculature, perivitelline space, and hindbrain ventricle in both fully automated and semi-automated modes. Combined results demonstrate an average injection success rate of approximately 60% and larvae survival exceeding 70%, comparable to manual methods, with the fully automated mode being twice as fast. This automation reduces the need for extensive personnel training while enhancing reproducibility, efficiency, and accuracy, paving the way for more extensive use of zebrafish xenograft models in drug discovery and patient diagnostics.

npj Biomedical Innovations.Vol. 2(1)
Linköping University (SE), University of Oslo (NO), University of Michigan (US), Leiden University Medical Center (NL), Oncode Institute (NL), ZeClinics (Spain) (ES)
Kreftforeningen, Eurostars
Openalex Percentile: Top 9%
Zebrafish Biomedical Research Applications
3.45
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