딥러닝 기반 녹조 세포 계수 미세 유체 기기 개발

River and stream are the important water supply source in our lives. Eutrophication causes excessive green algae growth including microcystis, which makes harmful to ecosystem and human health. Therefore, the water purification process to remove green algae is essential. In Korea, green algae alarm...

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Veröffentlicht in:한국가시화정보학회지 2021, Vol.19 (2), p.41-47
Hauptverfasser: 조성수(Seongsu Cho), 신성훈(Seonghun Shin), 심재민(Jaemin Sim), 이진기(Jinkee Lee)
Format: Artikel
Sprache:kor
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Zusammenfassung:River and stream are the important water supply source in our lives. Eutrophication causes excessive green algae growth including microcystis, which makes harmful to ecosystem and human health. Therefore, the water purification process to remove green algae is essential. In Korea, green algae alarm system exists depending on the concentration of green algae cells in river or stream. To maintain the growth amount under control, green algae monitoring system is being used. However, the unmanned, small and automatic monitoring system would be preferable. In this study, we developed the 3D printed device to measure the concentration of green algae cell using microfluidic droplet generator and deep learning. Deep learning network was trained by using transfer learning through pre-trained deep learning network. This newly developed microfluidic cell counter has sufficient accuracy to be possibly applicable to green algae alarm system.
ISSN:1598-8430
2093-808X