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Luo Z, Huang B, Xu J, Wang L, Huang Z, Cao L, Liu S. Machine vision-based driving and feedback scheme for digital microfluidics system. OPEN CHEM 2021. [DOI: 10.1515/chem-2021-0060] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
A digital microfluidic system based on electrowetting-on-dielectric is a new technology for controlling microliter-sized droplets on a plane. By applying a voltage signal to an electrode, the droplets can be controlled to move, merge, and split. Due to device design, fabrication, and runtime uncertainties, feedback control schemes are necessary to ensure the reliability and accuracy of a digital microfluidic system for practical application. The premise of feedback is to obtain accurate droplet position information. Therefore, there is a strong need to develop a digital microfluidics system integrated with driving, position, and feedback functions for different areas of study. In this article, we propose a driving and feedback scheme based on machine vision for the digital microfluidics system. A series of experiments including droplet motion, merging, status detection, and self-adaption are performed to evaluate the feasibility and the reliability of the proposed scheme. The experimental results show that the proposed scheme can accurately locate multiple droplets and improve the success rate of different applications. Furthermore, the proposed scheme provides an experimental platform for scientists who focused on the digital microfluidics system.
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Affiliation(s)
- Zhijie Luo
- College of Information Science and Technology, Zhongkai University of Agriculture and Engineering , Guangzhou 510225 , China
- Smart Agriculture Engineering Research Center of Guangdong Higher Education Institutes, Zhongkai University of Agriculture and Engineering , Guangzhou 510225 , China
- Guangzhou Key Laboratory of Agricultural Products Quality & Safety Traceability Information Technology, Zhongkai University of Agriculture and Engineering , Guangzhou 510225 , China
| | - Bangrui Huang
- College of Information Science and Technology, Zhongkai University of Agriculture and Engineering , Guangzhou 510225 , China
| | - Jiazhi Xu
- College of Information Science and Technology, Zhongkai University of Agriculture and Engineering , Guangzhou 510225 , China
| | - Lu Wang
- College of Information Science and Technology, Zhongkai University of Agriculture and Engineering , Guangzhou 510225 , China
| | - Zitao Huang
- College of Information Science and Technology, Zhongkai University of Agriculture and Engineering , Guangzhou 510225 , China
| | - Liang Cao
- College of Information Science and Technology, Zhongkai University of Agriculture and Engineering , Guangzhou 510225 , China
| | - Shuangyin Liu
- College of Information Science and Technology, Zhongkai University of Agriculture and Engineering , Guangzhou 510225 , China
- Smart Agriculture Engineering Research Center of Guangdong Higher Education Institutes, Zhongkai University of Agriculture and Engineering , Guangzhou 510225 , China
- Guangzhou Key Laboratory of Agricultural Products Quality & Safety Traceability Information Technology, Zhongkai University of Agriculture and Engineering , Guangzhou 510225 , China
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Okochi M, Koike S, Tanaka M, Honda H. Detection of Her2-overexpressing cancer cells using keyhole shaped chamber array employing a magnetic droplet-handling system. Biosens Bioelectron 2017; 93:32-39. [DOI: 10.1016/j.bios.2016.11.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2016] [Revised: 11/04/2016] [Accepted: 11/06/2016] [Indexed: 12/14/2022]
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