A force-controlled robotic micromanipulation system for mechanotransduction studies of drosophila larvae

This paper presents an automated robotic micromanipulation system capable of force-controlled mechanical stimulation and fluorescence imaging of Drosophila larvae, for mechanotransduction studies of Drosophila neural circuitry. An elastomeric microdevice is developed for efficient immobilization of an array of larvae for subsequent force-controlled touching. A microelectromechanical systems (MEMS) based force sensor is integrated into the system for closed-loop force control of larva touching at a resolution of 50 μN. Two microrobots are coordinately servoed using orchestrated position and force control laws for automatic operations. The system performs simultaneous force-controlled larva touching and fluorescence imaging at a speed of 4 larvae per minute, with a success rate of 92.5%. This robotic system will greatly facilitate the dissection of mechanotransduction mechanisms of Drosophila larvae at both the molecular and cellular levels.

[1]  Xinyu Liu,et al.  High-Throughput Automated Injection of Individual Biological Cells , 2009, IEEE Transactions on Automation Science and Engineering.

[2]  Stéphane Régnier,et al.  A Microforce and Nanoforce Biomicroscope Device for In Vitro Mechanotransduction Investigation , 2008, IEEE Transactions on Instrumentation and Measurement.

[3]  Yong Rao,et al.  Control of directional change after mechanical stimulation in Drosophila , 2012, Molecular Brain.

[4]  Yu Sun,et al.  Automated Microinjection of Recombinant BCL-X into Mouse Zygotes Enhances Embryo Development , 2011, PloS one.

[5]  Yu Sun,et al.  Nanonewton force-controlled manipulation of biological cells using a monolithic MEMS microgripper with two-axis force feedback , 2008 .

[6]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[7]  Xinyu Liu,et al.  Vision-based cellular force measurement using an elastic microfabricated device , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[8]  Peter C. Y. Chen,et al.  Force Sensing and Control in Micromanipulation , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[9]  Martin Chalfie,et al.  Genetics of sensory mechanotransduction. , 2002, Annual review of genetics.

[10]  Yu Sun,et al.  Orientation Control of Biological Cells Under Inverted Microscopy , 2011, IEEE/ASME Transactions on Mechatronics.

[11]  Yu Sun,et al.  Elastic and Viscoelastic Characterization of Mouse Oocytes Using Micropipette Indentation , 2012, Annals of Biomedical Engineering.

[12]  Mostafa Ghannad-Rezaie,et al.  Microfluidic Chips for In Vivo Imaging of Cellular Responses to Neural Injury in Drosophila Larvae , 2012, PloS one.