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Real-time motion analysis of euglena cells swimming in a microfluidic chip for environmental toxicity biosensing
- Ozasa, Kazunari;
- Won, June;
- Song, Simon;
- Maeda, Mizuo
Citations
SCOPUS
0초록
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.
키워드
Chemotaxis; Euglena gracilis; Micro-organism cells; Real-time motion analysis; Algae; Algorithms; Aspect ratio; Biochemistry; Image processing; Automatic categorization; Chemotaxis; Environmental toxicity; Euglena gracilis; Micro aquariums; Microfluidic chip; Real-time motion; Rectangular shapes; Motion analysis
- 제목
- Real-time motion analysis of euglena cells swimming in a microfluidic chip for environmental toxicity biosensing
- 저자
- Ozasa, Kazunari; Won, June; Song, Simon; Maeda, Mizuo
- 발행일
- 2015-10
- 유형
- Conference Paper
- 저널명
- MicroTAS 2015 - 19th International Conference on Miniaturized Systems for Chemistry and Life Sciences
- 페이지
- 2002 ~ 2004