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A deep learning enabled field-portable cell analyzer
- Issue Date
- 2019
- Publisher
- Chemical and Biological Microsystems Society
- Keywords
- Cell analysis; Cell analyzer; Cellytics; Deep learning; LSIT
- Citation
- 23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019, pp 1397 - 1398
- Pages
- 2
- Journal Title
- 23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019
- Start Page
- 1397
- End Page
- 1398
- ISSN
- 0000-0000
- Abstract
- We demonstrate a deep learning enabled low-cost cell analyzer, Cellytics, with custom developed cell chip, which performs various cell analysis including counting, differentiation, size measurement, viability test, and eco-toxicity evaluation. Cellytics enables various cell analysis without employing any traditional optical microscope elements such as lenses and focusing procedures. Therefore, this analyzer has the advantage of wide field of view and cost-effective fabrication approach. In this paper, we presents the results of blood cell analysis and micro-algae viability test using Cellytics. Additionally, potential use in HIV diagnostics of this device would be also described by combining deep learning algorithm of Google Inception. ？ 2019 CBMS-0001.
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Collections - 해양공공디지털연구본부 > 해사안전·환경연구센터 > Journal Articles
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