Paper
12 March 2010 A comparison of tracking methods for swimming C. Elegans
Christophe Restif, Dimitris Metaxas
Author Affiliations +
Abstract
Tracking the swimming motion of C. elegans worms is of high interest for a variety of research projects on behavior in biology, from aging to mating studies. We compare six different tracking methods, derived from two types of image preprocessing, namely local and global thresholding methods, and from three types of segmentation methods: low-level vision, and articulated models of either constant or varying width. All these methods have been successfully used in recent related works, with some modifications to adapt them to swimming motions. We show a quantitative comparison of these methods using computer-vision measures. To discuss their relative strengths and weaknesses, we consider three scenarios of behavior studies, depending on the constraints of a C. elegans project, and give suggestions as to which methods are more adapted to each case, and how to further improve them.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christophe Restif and Dimitris Metaxas "A comparison of tracking methods for swimming C. Elegans", Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76232E (12 March 2010); https://doi.org/10.1117/12.844151
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Cited by 3 scholarly publications.
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KEYWORDS
Video

Image segmentation

Motion models

Visualization

Computer vision technology

Machine vision

Image processing

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