• DocumentCode
    3518715
  • Title

    Autonomous Zebrafish Embryo Injection Using a Microrobotic System

  • Author

    Wang, W.H. ; Liu, X.Y. ; Sun, Y.

  • Author_Institution
    Toronto Univ., Toronto
  • fYear
    2007
  • fDate
    22-25 Sept. 2007
  • Firstpage
    363
  • Lastpage
    368
  • Abstract
    As an important embodiment of biomanipulation, injection of foreign materials (e.g., DNA, RNAi, sperms, proteins, 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% (350 embryos), a success rate of 99% (350 embryos), and a phenotypic rate of 98.5% (210 embryos). The sample preparation 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.
  • Keywords
    biological specimen preparation; biomedical engineering; medical robotics; micromanipulators; motion control; robot vision; autonomous zebrafish embryo injection; biological injection applications; biomanipulation; computer vision; foreign material cellular injection; microrobotic control method; microrobotic system; motion control; sample preparation technique; Biological materials; DNA; Drugs; Embryo; Fatigue; Genetics; Humans; Manuals; Proteins; Reproducibility of results; Microrobotic cell injection; antisense morpholinos; automation; computer vision; microrobotic control; zebrafish embryos;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering, 2007. CASE 2007. IEEE International Conference on
  • Conference_Location
    Scottsdale, AZ
  • Print_ISBN
    978-1-4244-1154-2
  • Electronic_ISBN
    978-1-4244-1154-2
  • Type

    conf

  • DOI
    10.1109/COASE.2007.4341701
  • Filename
    4341701