DocumentCode :
716300
Title :
An automated robotic system for high-speed microinjection of Caenorhabditis elegans
Author :
Xianke Dong ; Pengfei Song ; Xinyu Liu
Author_Institution :
Dept. of Mech. Eng., McGill Univ., Montreal, QC, Canada
fYear :
2015
fDate :
26-30 May 2015
Firstpage :
996
Lastpage :
1001
Abstract :
The tiny nematode worm Caenorhabditis elegans has long been a popular model organism for genetic, developmental, and biochemical studies in which worm microinjection plays a critical role. This paper presents an automated robotic system for high-speed injection of C. elegans with an efficiency more than 10 times faster than that of a proficient injection technician. To facilitate the injection process, a multilayer, hydraulically-controlled polydimethylsiloxane (PDMS) microfluidic device is developed to rapidly load, immobilize, flush, sort and collect individual worms. In addition, a newly proposed contact detection algorithm is adopted to find the optimal injection position along the z axis within the microscope view field. The direction and location of the needle tip are identified online based on an effective image processing algorithm. According to continuous injection of 40 worms, our system is able to perform worm injection at a speed of 6.6 worms per minute with a pre-sorting success rate of 77.5% (post sorting: 100%). The superior performance provided by the system will significantly facilitate large-scale transgenic studies and biomolecule screening on C. elegans.
Keywords :
medical robotics; robot vision; PDMS device; automated robotic system; biomolecule screening; contact detection algorithm; high-speed microinjection; hydraulically-controlled polydimethylsiloxane microfluidic device; image processing algorithm; large-scale transgenic studies; optimal injection position; tiny nematode worm Caenorhabditis elegans; Grippers; Image processing; Loading; Needles; Robots; Sorting; Valves;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2015 IEEE International Conference on
Conference_Location :
Seattle, WA
Type :
conf
DOI :
10.1109/ICRA.2015.7139298
Filename :
7139298
Link To Document :
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