Related Experiment Video
Updated: Apr 26, 2026
Automating Tumor Implantation in Zebrafish Larvae for Cancer Research and Medicine
Published on: September 19, 2025
Automated microinjection for zebrafish xenograft models
Yi Ding1, Kees-Jan van der Kolk1, Wietske van der Ent2
1Life Science Methods BV, Leiden, the Netherlands.
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.
Insights
A new automated microinjection robot enhances zebrafish xenograft models for cancer research. This technology improves efficiency and accuracy, aiding drug discovery and patient diagnostics.
Area of Science:
- * Comparative medicine and experimental therapeutics.
- * Zebrafish models in oncology and drug development.
Background:
- * Zebrafish xenograft models show promise for predicting patient responses to cancer therapies.
- * Manual microinjection into zebrafish larvae is labor-intensive, requires specialized training, and suffers from variability, hindering broader application.
- * Current limitations impede the full potential of zebrafish models in clinical diagnostics and drug discovery pipelines.
Purpose of the Study:
- * To develop and validate an automated microinjection robot for zebrafish xenograft models.
- * To overcome the challenges associated with manual microinjection, including labor, training, and reproducibility.
- * To enhance the efficiency, accuracy, and scalability of generating zebrafish xenograft models for research and diagnostics.
Main Methods:
- * Design, construction, and validation of a novel microinjection robot system.
- * Implementation of both fully automated and semi-automated injection modes.
- * Injections targeted to specific zebrafish larval tissues: vasculature, perivitelline space, and hindbrain ventricle.
Main Results:
- * The automated robot achieved an average injection success rate of approximately 60%.
- * Larval survival rates exceeded 70%, demonstrating comparability to manual injection techniques.
- * The fully automated mode operated twice as fast as manual methods, significantly improving throughput.
Conclusions:
- * The automated microinjection robot successfully addresses key limitations of manual zebrafish xenograft model generation.
- * Automation enhances reproducibility, efficiency, and accuracy, reducing the need for extensive operator training.
- * This technology facilitates wider adoption of zebrafish xenograft models for accelerated drug discovery and personalized cancer diagnostics.
