• DocumentCode
    2687652
  • Title

    Robotic cell manipulation with optical tweezers for biomechanical characterization

  • Author

    Tan, Youhua ; Sun, Dong ; Cheng, Shuk Han ; Li, Ronald A.

  • Author_Institution
    Dept. of Manuf. Eng. & Eng. Manage., City Univ. of Hong Kong, Hong Kong, China
  • fYear
    2011
  • fDate
    9-13 May 2011
  • Firstpage
    4104
  • Lastpage
    4109
  • Abstract
    In this paper, we demonstrate the effectiveness of robotic cell stretching with optical tweezers for biomechanical characterization. Optical traps serve as end-effectors to manipulate micro-beads attached to the cell surface. The dynamics of the cell-bead mixture during cell stretching is investigated for the first time. Based on our previous work, cell stiffness is extracted and biomechanical properties of cells can be characterized. Our study shows that the modeling results agree with the experimental data. Further, the area compressibility moduli of two types of cells, human embryonic stem cells (hESC) and hESC-derived cardiomyocytes (hESC-CM), are characterized. The results indicate that undifferentiated stem cells are much softer than differentiated ones, which provides an important insight into the cell mechanics during hESC differentiation. In summary, this paper successfully demonstrates that the robot-tweezer system can manipulate biological cells effectively to characterize biomechanical properties of living cells.
  • Keywords
    biomechanics; biotechnology; end effectors; industrial manipulators; manipulator dynamics; biomechanical characterization; cell stretching; cell-bead mixture dynamics; end effector; hESC-derived cardiomyocytes; human embryonic stem cell; living cell biomechanical property; optical trap; optical tweezer; robot-tweezer system; robotic cell manipulation; Biomedical optical imaging; Charge carrier processes; Force; Mathematical model; Optical feedback; Optical imaging; Optical sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-61284-386-5
  • Type

    conf

  • DOI
    10.1109/ICRA.2011.5979577
  • Filename
    5979577