| Autor: |
Jin, Geonsoo, Yoo, Inhwa, Yeo, Ki Baek, Pack, Seung Pil, Ha, Unhwan, Yang, Ji-Woon, Han, Seungoh, Paek, Se-Hwan, Seo, Sungkyu |
| Zdroj: |
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical & Health Informatics; 1/ 1/2012, p1009-1011, 3p |
| Abstrakt: |
Shadow image based high-throughput continuous cell monitoring technique is proposed. Shadow image variations of human alveolar epithelial cells (A549) cultured in a custom built incubator are analyzed qualitatively and quantitatively. Two measures which correspond to the morphology change of the cells are suggested and defined. Within this platform, it is demonstrated that a single image of a 5M pixel CMOS image sensor can monitor thousands of biological cells simultaneously and continuously. This compact, low-cost, and high-throughput cell monitoring technique holds great promise in the fields of point-of-care testing and telemedicine especially for the resource limited settings. [ABSTRACT FROM PUBLISHER] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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