Real-time motion analysis of euglena cells swimming in a microfluidic chip for environmental toxicity biosensing
- Authors
- Ozasa, Kazunari; Won, June; Song, Simon; Maeda, Mizuo
- Issue Date
- Oct-2015
- Publisher
- Chemical and Biological Microsystems Society
- Keywords
- Chemotaxis; Euglena gracilis; Micro-organism cells; Real-time motion analysis
- Citation
- MicroTAS 2015 - 19th International Conference on Miniaturized Systems for Chemistry and Life Sciences, pp.2002 - 2004
- Indexed
- SCOPUS
- Journal Title
- MicroTAS 2015 - 19th International Conference on Miniaturized Systems for Chemistry and Life Sciences
- Start Page
- 2002
- End Page
- 2004
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/156308
- Abstract
- We developed an automatic categorization algorithm, which distinguishes the motion of micro-algae cells real-time with image processing. The motion of the micro-algae cells, confined in a closed space of microchip (micro-aquarium), was captured, and converted to trace images. The traces were sectioned by rectangular shapes, and categorized to straightforward swimming or on-site rotation, by aspect ratio and filling factor of the rectangular. The automatic categorization enables to detect the abnormal motion of the cells evoked by test chemicals real-time, which is important for sensing the metabolic-disturbing substances quickly.
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