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首页> 外文期刊>Mechatronics, IEEE/ASME Transactions on >RoboDrop: A Multi-Input Multi-Output Control System for On-Demand Manipulation of Microfluidic Droplets Based on Computer Vision Feedback
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RoboDrop: A Multi-Input Multi-Output Control System for On-Demand Manipulation of Microfluidic Droplets Based on Computer Vision Feedback

机译:Robodrop:基于计算机视觉反馈的微流体液滴按需操纵多输入多输出控制系统

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摘要

Active control of individual picoliter- to nanoliter-sized droplets in a network of microchannels is vital to make droplet microfluidic platform an enabling technology for single-cell or single-particle analysis, which has found application in areas such as advanced manufacturing, material synthesis, life science research, and personalized medicine. The challenge manifests from the coupled dynamics between droplet motions and network inlet pressures, which must be overcome in order to control individual droplets successfully. In this article, we proposed a generalized approach for modeling and controlling droplet position. The model is validated experimentally and used in a series of multi-input multi-output linear-quadratic regulation controllers. The controllers obtain feedback from computer vision and actuate electropneumatic transducers to yield desired droplet movements. The ability to dynamically generate, trap, merge, split, and sort droplets according to real-time user demand is demonstrated with successful experimental results.
机译:在微通道网络中的个体皮色素到纳温液滴的主动控制对于制造液滴微流体平台至关重要,可以为单细胞或单粒子分析进行促进技术,该技术在先进的制造,材料合成等领域中已经发现应用,生命科学研究和个性化医学。挑战表现出液滴运动和网络入口压力之间的耦合动力学,必须克服,以便成功控制各个液滴。在本文中,我们提出了一种用于建模和控制液滴位置的广义方法。该模型通过实验验证,并用于一系列多输入多输出线性二次调节控制器。控制器从计算机视觉获得反馈并启动电动气动换能器以产生所需的液滴运动。通过成功的实验结果,对根据实时用户需求进行动态生成,陷阱,合并,分割和排序液滴的能力。

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