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Nanonewton Force Sensing and Control in Microrobotic Cell ManipulationAdvanced Micro and Nanosystems Laboratory, University of Toronto, Ontario, Canada
Advanced Micro and Nanosystems Laboratory, University of Toronto, Ontario, Canada
Advanced Micro and Nanosystems Laboratory, University of Toronto, Ontario, Canada
Advanced Micro and Nanosystems Laboratory, University of Toronto, Ontario, Canada, sun{at}mie.utoronto.ca Cellular force sensing and control techniques are capable of enhancing the dexterity and reliability of microrobotic cell manipulation systems. In this paper we present two experimental techniques for nanonewton force sensing and control in microrobotic cell manipulation. A vision-based cellular force sensing approach, including a microfabricated elastic cell holding device and a sub-pixel visual tracking algorithm, was developed for resolving forces down to 3.7 nN during microrobotic mouse embryo injection. The technique also experimentally demonstrated that the measured mechanical difference could be useful for in situ differentiation of healthy mouse embryos from those with compromised developmental competence without requiring a separate mechanical characterization process. Centered upon force-controlled microrobotic cell manipulation, this paper also presents nanonewton force-controlled micrograsping of interstitial cells using a microelectromechanical systems (MEMS)-based microgripper with integrated two-axis force feedback. On-chip force sensors are used for detecting contact between the microgripper and cells to be manipulated (resolution: 38.5 nN at 15Hz) and sensing gripping forces (resolution: 19.9 nN at 15Hz) during force-controlled grasping. The experimental results demonstrate that the microgripper and the control system are capable of rapid contact detection and reliable force-controlled micrograsping to accommodate variations in size and stiffness of cells with a high degree of reproducibility.
Key Words: microrobotic cell manipulation cellular force measurement nanonewton force sensing and control sub-pixel visual tracking MEMS microgripper force feedback
This version was published on August
1, 2009 The International Journal of Robotics Research, Vol. 28, No. 8,
1065-1076 (2009) |
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