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Co-placement optimization in sensor-reusable cyber-physical digital microfluidic biochips

机译:可重复使用的传感器物理数字物理数字微流控生物芯片中的共置优化

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摘要

Digital microfluidic biochips (DMFBs) facilitate modern healthcare applications. One of the most important applications is point-of-care (POC) clinical diagnosis which is directly related to human health. However, biochemical experiments are usually error-prone, which makes monitoring intermediate results during bioassay execution be required to ensure the correctness of POC clinical diagnosis. To tackle this problem, cyber-physical digital microfluidic biochips with integrated sensors have been proposed and have attracted attention recently. In order to fully utilize the sensors for detection, the reusability of sensors should be taken into consideration during the module placement stage of cyber-physical DMFBs synthesis flow. Moreover, excessive actuation of electrodes may cause reliability degradation and this issuse should also be taken care of during module placement stage. In order to deal with the aforementioned problems, this paper presents the first co-optimization method for both module and sensor placement. Experimental results show that the proposed method can effectively minimize bioassay completion time while meeting all constraints from sensors and electrodes.
机译:数字微流生物芯片(DMFB)促进了现代医疗保健应用。最重要的应用之一是即时点(POC)临床诊断,它直接关系到人类健康。但是,生化实验通常容易出错,这就要求在执行生物测定过程中监视中间结果,以确保POC临床诊断的正确性。为了解决这个问题,已经提出了具有集成传感器的电子物理数字微流体生物芯片,并且最近引起了关注。为了充分利用传感器进行检测,在网络物理DMFB合成流程的模块放置阶段应考虑传感器的可重用性。此外,电极的过度驱动可能会导致可靠性下降,并且在模块放置阶段也应注意这一问题。为了解决上述问题,本文提出了第一种针对模块和传感器放置的共同优化方法。实验结果表明,该方法可以有效地缩短生物测定的完成时间,同时满足传感器和电极的所有限制。

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