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Error recovery in cyberphysical digital microfluidic biochips

机译:网络物理数字微流体生物芯片的错误恢复

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摘要

Droplet-based digital microfluidics technology has now come of age, and software-controlled biochips for healthcare applications are starting to emerge. However, today's digital microfluidic biochips suffer from the drawback that there is no feedback to the control software from the underlying hardware platform. Due to the lack of precision inherent in biochemical experiments, errors are likely during droplet manipulation; error recovery based on the repetition of experiments leads to wastage of expensive reagents and hard-to-prepare samples. By exploiting recent advances in the integration of optical detectors (sensors) into a digital microfluidics biochip, we present a physical-aware system reconfiguration technique that uses sensor data at intermediate checkpoints to dynamically reconfigure the biochip. A cyberphysical resynthesis technique is used to recompute electrode-actuation sequences, thereby deriving new schedules, module placement, and droplet routing pathways, with minimum impact on the time-to-response. © 2012 IEEE.
机译:基于液滴的数字微流控技术已经成熟,并且用于医疗保健应用的软件控制的生物芯片开始出现。但是,当今的数字微流控生物芯片的缺点是,底层硬件平台没有对控制软件的反馈。由于生化实验固有的精度不足,在液滴操作过程中可能会出现错误;基于重复实验的错误恢复会浪费昂贵的试剂和难以制备的样品。通过利用将光检测器(传感器)集成到数字微流控生物芯片中的最新进展,我们提出了一种物理感知系统重新配置技术,该技术在中间检查点使用传感器数据来动态重新配置生物芯片。电子物理再合成技术用于重新计算电极致动序列,从而获得新的时间表,模块放置和墨滴布线路径,而对响应时间的影响最小。 ©2012 IEEE。

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