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.

中文翻译：

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基于机器视觉的数字微流控系统驱动与反馈方案

基于电介质电润湿的数字微流体系统是一种控制平面上微升尺寸液滴的新技术。通过向电极施加电压信号，可以控制液滴移动、合并和分裂。由于设备设计、制造和运行时间的不确定性，需要反馈控制方案来确保数字微流体系统在实际应用中的可靠性和准确性。反馈的前提是获得准确的液滴位置信息。因此，迫切需要为不同的研究领域开发集成驱动、位置和反馈功能的数字微流体系统。在本文中，我们为数字微流体系统提出了一种基于机器视觉的驱动和反馈方案。包括液滴运动在内的一系列实验，执行合并、状态检测和自适应以评估所提出方案的可行性和可靠性。实验结果表明，所提出的方案可以准确定位多个液滴，提高不同应用的成功率。此外，所提出的方案为专注于数字微流体系统的科学家提供了一个实验平台。