DocumentCode :
141351
Title :
A force-controlled robotic micromanipulation system for mechanotransduction studies of drosophila larvae
Author :
Weize Zhang ; Sobolevski, Alexandre ; Bing Li ; Yong Rao ; Xinyu Liu
Author_Institution :
Biomed. Microsyst. Lab., McGill Univ., Montreal, QC, Canada
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
6526
Lastpage :
6529
Abstract :
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.
Keywords :
bioMEMS; cellular biophysics; closed loop systems; fluorescence; force control; force sensors; medical robotics; micromanipulators; molecular biophysics; position control; touch (physiological); Drosophila larvae; Drosophila neural circuitry; MEMS based force sensor; automated robotic micromanipulation system; cellular levels; closed-loop force control; elastomeric microdevice; fluorescence imaging; force-controlled larva touching; force-controlled mechanical stimulation; force-controlled robotic micromanipulation system; mechanotransduction mechanisms; microelectromechanical systems; molecular levels; orchestrated force control laws; orchestrated position control laws; Force; Force control; Imaging; Neurons; Robot kinematics; Robot sensing systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6945123
Filename :
6945123
Link To Document :
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