Title :
Automated vision-based force measurement of moving C. elegans
Author :
Ghanbari, Ali ; Nock, Volker ; Blaikie, Richard ; Chen, XiaoQi ; Chase, J. Geoffrey ; Wang, Wenhui
Author_Institution :
Department of Mechanical Engineering, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand
Abstract :
this paper reports an automated tracking and force measurement system for C. elegans in motion, based on microscopy computer vision. A polydimethylsiloxane (PDMS) device was microfabricated to allow C. elegans to move in a matrix of micropillars in a channel. An image processing algorithm has been developed to track the worm and deflecting micropillars automatically in purpose of quantifying multipoint locomotive forces of a moving C. elegans. The developed system is able to visually resolve force with a 0.33 µN resolution. A maximum force level of 55.41 µN for a young adult wild type C. elegans was observed.
Keywords :
Force; Force measurement; Grippers; Image resolution; Muscles; Tracking; Transforms;
Conference_Titel :
Automation Science and Engineering (CASE), 2010 IEEE Conference on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-5447-1
DOI :
10.1109/COASE.2010.5584225