Dictionary-based error recovery in cyberphysical digital-microfluidic biochips

Dictionary-based error recovery in cyberphysical digital-microfluidic biochips
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网络物理数字微流控生物芯片中基于字典的错误恢复

DOI:
10.1145/2429384.2429463
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发表时间:
2012
期刊:
2012 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
影响因子:
--
通讯作者:
Tsung
Tsung
中科院分区:
--
文献类型:
--
作者:
Yan Luo;K. Chakrabarty;Tsung

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网络物理数字微流体系统是一项新兴技术,可实现流体处理操作,反应结果检测和生物芯片上自动误差恢复的整合。迄今为止,研究的网络物理生物芯片系统遭受了误解时间的显着增加的限制。我们提出了一种硬件辅助错误恢复方法,该方法依赖于错误词典来快速错误恢复。可以在单板微控制器上实现反应的错误回收过程和反应的动态重新合成,这对闪存化学特别有吸引力。为了将错误词典存储在低成本微控制器中可用的有限内存中,我们描述了两种压实技术。我们使用三种实验室协议来证明,与基于软件的方法相比,所提出的基于词典的错误重回方法对响应时间的影响较小,并且需要简单的实验设置,并且只有少量的内存。
A cyberphysical digital microfluidics system is an emerging technology that enables the integration of fluid-handling operations, reaction-outcome detection, and automated error recovery on a biochip. The cyberphysical biochip system studied thus far suffers from the limitation of a significant increase in reaction time for error recovery. We present a hardware-assisted error-recovery method that relies on an error dictionary for rapid error recovery. The error-recovery procedure and dynamic resynthesis of a reaction, which is especially attractive for flash chemistry, can be implemented in realtime on a single-board microcontroller. In order to store the error dictionary in the limited memory available in the low-cost microcontroller, we describe two compaction techniques. We use three laboratorial protocols to demonstrate that, compared to software-based methods, the proposed dictionary-based error-recovery method has less impact on response time, and requires simple experimental setup, and only a small amount of memory.
DOI: --
发表时间: 2010
期刊: --
影响因子: --
作者:
Youbo Lin;R. Evans;E. Welch;Bang-Ning Hsu;A. Madison;R. Fair
通讯作者: Youbo Lin;R. Evans;E. Welch;Bang-Ning Hsu;A. Madison;R. Fair
DOI: 10.1002/biot.201000324
发表时间: 2011-02
影响因子: 4.7
作者:
Welch, Erin R. Ferguson;Lin, Yan-You;Madison, Andrew;Fair, Richard B.
通讯作者: Fair, Richard B.