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Cited by 270

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

A Fully Automated Robotic System for Microinjection of Zebrafish Embryos

Open access
Wang, Wenhui, Liu, Xinyu, Gelinas, Danielle, Ciruna, Brian, Sun, Yu·2007·PLoS ONE

Abstract

As an important embodiment of biomanipulation, injection of foreign materials (e.g., DNA, RNAi, sperm, protein, and drug compounds) into individual cells has significant implications in genetics, transgenics, assisted reproduction, and drug discovery. This paper presents a microrobotic system for fully automated zebrafish embryo injection, which overcomes the problems inherent in manual operation, such as human fatigue and large variations in success rates due to poor reproducibility. Based on computer vision and motion control, the microrobotic system performs injection at a speed of 15 zebrafish embryos (chorion unremoved) per minute, with a survival rate of 98% (n = 350 embryos), a success rate of 99% (n = 350 embryos), and a phenotypic rate of 98.5% (n = 210 embryos). The sample immobilization technique and microrobotic control method are applicable to other biological injection applications such as the injection of mouse oocytes/embryos and Drosophila embryos to enable high-throughput biological and pharmaceutical research.

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Metadata

Authors
Wang, W., Liu, X., Gelinas, D., Ciruna, B., & Sun, Y.
Venue
PLoS ONE
Published
2007-09-12
Volume
2
Issue
9
Pages
e862
ISSN
1932-6203 (ISSN-L)
OpenAlex
W1989100148
Cited by
270
References
23
FWCI
6.20
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: A Fully Automated Robotic System for Microinjection of Zebrafish Embryos. https://app.cochat.ai/papers/10.1371/journal.pone.0000862
The paper
Wang, W., Liu, X., Gelinas, D., Ciruna, B., & Sun, Y. (2007). A Fully Automated Robotic System for Microinjection of Zebrafish Embryos. PLoS ONE. https://doi.org/10.1371/journal.pone.0000862

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.