• DocumentCode
    3408557
  • Title

    Automatic Vision Guided Small Cell Injection: Feature Detection, Positioning, Penetration and Injection

  • Author

    Yanliang Zhang ; Mingli Han ; Chen Yap Shee ; Wei Tech Ang

  • Author_Institution
    Nanyang Technol. Univ., Nanyang
  • fYear
    2007
  • fDate
    5-8 Aug. 2007
  • Firstpage
    2518
  • Lastpage
    2523
  • Abstract
    Vision guided automatic cell injection system has become increasingly important in the past ten years. The existing cell injection systems mainly deal with large cells with size bigger than 40 micrometers. However, when dealing with small cells, the internal and external disturbances presented in the system may affect the success rate of injections significantly. In this paper, the system setup of vision guided cell injection system is presented. Feature tracking, micropipette positioning, cell membrane penetration and biological material injection processes for small cell with size around 20 micrometers are discussed. Sum of square difference (SSD) tracking algorithm based on 2 dimensional (2D)-to-2D feature correspondences is used to handle disturbances. A modified proportional position controller is adopted to control the micropipette. The importance of cell membrane penetration modeling is emphasized.
  • Keywords
    computer vision; medical control systems; position control; automatic vision guided small cell injection; biological material injection; cell membrane penetration modeling; feature tracking; micropipette positioning; position controller; Automation; Biological materials; Biomembranes; Cells (biology); Computer vision; Force sensors; Laboratories; Machine vision; Manuals; Piezoelectric actuators; Cell micromanipulation; SSD tracking; cell injection; penetration; position control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2007. ICMA 2007. International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-0828-3
  • Electronic_ISBN
    978-1-4244-0828-3
  • Type

    conf

  • DOI
    10.1109/ICMA.2007.4303952
  • Filename
    4303952