网络物理数字微流控生物芯片的快速在线故障恢复

C. Jaress, P. Brisk, D. Grissom
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引用次数: 32

摘要

微流体技术通过化学反应的小型化和自动化为生物科学提供了好处。软件控制的芯片实验室(loc)执行使用高级语言指定的生物协议(分析)。集成的传感器和视频监控在LoC及其控制软件之间提供了一个封闭的反馈回路,可以及时提供有关正在进行的分析进展和LoC整体健康状况的信息。本文介绍了一种网络物理控制算法,该算法可以纠正在数字微流体生物芯片(DMFB)上执行分析时动态检测到的硬故障和软故障,这是一种特定的LoC技术。该方法是可伸缩的(即,对可能发生的错误数量没有固定限制),并且在实践中有效地运行,从而限制了在分析执行期间发生硬或软错误时产生的性能开销。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rapid online fault recovery for cyber-physical digital microfluidic biochips
Microfluidic technologies offer benefits to the biological sciences by miniaturizing and automating chemical reactions. Software-controlled laboratories-on-a-chip (LoCs) execute biological protocols (assays) specified using high-level languages. Integrated sensors and video monitoring provide a closed feedback loop between the LoC and its control software, which provide timely information about the progress of an ongoing assay and the overall health of the LoC. This paper introduces a cyber-physical control algorithm that rectifies hard and soft faults that are detected dynamically while executing an assay on a digital microfluidic biochip (DMFB), one specific LoC technology. The approach is scalable (i.e., there is no fixed limit on the number of faults that may occur), and runs efficiently in practice, thereby limiting the performance overhead incurred when a hard or soft fault occurs during assay execution.
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