Adaptive and Roll-Forward Error Recovery in MEDA Biochips Based on Droplet-Aliquot Operations and Predictive Analysis

Adaptive and Roll-Forward Error Recovery in MEDA Biochips Based on Droplet-Aliquot Operations and Predictive Analysis
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基于液滴等分操作和预测分析的 MEDA 生物芯片中的自适应和前滚错误恢复

DOI:
10.1109/tmscs.2018.2827030
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发表时间:
2018
期刊:
IEEE Transactions on Multi-Scale Computing Systems
影响因子:
--
通讯作者:
K. Chakrabarty
K. Chakrabarty
中科院分区:
--
文献类型:
--
作者:
Zhanwei Zhong;Zipeng Li;K. Chakrabarty

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数字微流控生物芯片(DMFBs)正越来越多地被用于生化实验室的自动化生物检测。然而,传统的DMFBs存在一些关键缺陷:1)不能灵活地改变液滴体积;2)难以集成片上传感器;3)需要特殊的制造工艺。为了克服这些问题,最近提出了基于微电极点阵(MEDA)的DMFBs。然而,由于芯片缺陷和生化实验固有的不可预测性,MEDA DMFB可能会出现错误。我们通过利用实时传感和高级特定于MEDA的液滴操作,为MEDA提供了细粒度的错误恢复解决方案。所提出的方法依赖于自适应液滴等分操作和混合的预测分析。此外,还提出了一种前滚错误恢复方法,以有效利用生物芯片中未使用的部分,减少错误恢复所需的时间。在三个典型基准上的实验结果证明了所提出的差错恢复策略的有效性。
Digital microfluidic biochips (DMFBs) are being increasingly used in biochemistry labs for automating bioassays. However, traditional DMFBs suffer from some key shortcomings: 1) inability to vary droplet volume in a flexible manner; 2) difficulty of integrating on-chip sensors; and 3) the need for special fabrication processes. To overcome these problems, DMFBs based on micro-electrode-dot -array (MEDA) have recently been proposed. However, errors are likely to occur on a MEDA DMFB due to chip defects and the unpredictability inherent to biochemical experiments. We present fine-grained error-recovery solutions for MEDA by exploiting real-time sensing and advanced MEDA-specific droplet operations. The proposed methods rely on adaptive droplet-aliquot operations and predictive analysis of mixing. In addition, a roll-forward error-recovery method is proposed to efficiently utilize the unused part of the biochip and reduce the time required for error recovery. Experimental results on three representative benchmarks demonstrate the efficiency of the proposed error-recovery strategy.
DOI: 10.1039/b717417a
发表时间: 2008-01-01
期刊: LAB ON A CHIP
影响因子: 6.1
作者:
Gong, Jian;Kim, Chang-Jin (CJ)
通讯作者: Kim, Chang-Jin (CJ)