Journal
JALA
Volume 14, Issue 5, Pages 269-276Publisher
SAGE PUBLICATIONS INC
DOI: 10.1016/j.jala.2008.12.006
Keywords
C. elegans tracking; Gaussian Pyramid images; visual feature extraction; cubic spline fitting
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This paper presents a visually servoed micropositioning system capable of automatically extracting locomotive features of Caenorhabditis elegans online at a full 30 Hz. The employment of Gaussian Pyramid Level-2 images significantly reduces the image size by 16-fold and permits real-time feature extraction, without sacrificing accuracy due to the cubic smoothing spline fitting. The automated micropositioning system is capable of revealing subtle differences in locomotive behavior across strains. A total of 128 worms of four C. elegans strains with different numbers of muscle arms were continuously tracked for 3 min per sample, and locomotive features were extracted online. Validated by experiments, the innovation in image analysis, or data reduction without sacrificing accuracy allows for rapid, online, and accurate analysis of streaming videos of C. elegans and other similar microorganisms. (JALA 2009;14:269-76)
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