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Analysis of Concentration Errors in Sample Dilution Algorithms on a Digital Microfluidic Biochip

机译:数字微流控生物芯片上样品稀释算法中的浓度误差分析

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摘要

Sample preparation is an important step in any biochemical protocol, and several algorithms are known for automating them on a digital microfluidic (DMF) lab-on-a-chip (LoC). On-chip dilution of a sample on a DMF biochip involves several mix-split steps, which often suffer from the inaccuracies caused by unbalanced splitting of micro-fluid droplets. Also, error minimization is essential because of the limited availability of the stock solutions and costly reagents. In this work, we analyze the performance of two dilution algorithms Min-Mix (Thies et al., 2008) and DMRW (Roy et al., 2010) in the presence of volumetric errors that may occur during the splitting process. Our analysis exposes many interesting error behaviors and indicates possible solutions to correct them in a cyber-physical microfluidic platform.
机译:样品制备是任何生化方案中的重要步骤,并且已知有几种算法可在数字微流控(DMF)芯片实验室(LoC)上使它们自动化。在DMF生物芯片上对样品进行芯片上稀释涉及多个混合分离步骤,这些步骤通常会因微流体液滴的不平衡分配而导致不准确。而且,由于储备溶液和昂贵试剂的有限可用性,最小化误差至关重要。在这项工作中,我们分析了两种稀释算法Min-Mix(Thies等,2008)和DMRW(Roy等,2010)的性能,这些算法在拆分过程中可能会出现体积误差。我们的分析揭示了许多有趣的错误行为,并指出了在网络物理微流体平台中纠正它们的可能解决方案。

著录项

  • 来源
    《Applied algorithms》|2014年|89-100|共12页
  • 会议地点 Kolkata(IN)
  • 作者单位

    Department of Computer Science and Engineering, Heritage Institute of Technology, Kolkata, West Bengal 700 107, India;

    Department of Computer Science and Engineering, Heritage Institute of Technology, Kolkata, West Bengal 700 107, India;

    Advanced Computing and Microelectronics Unit, Indian Statistical Institute, Kolkata 700 108, India;

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  • 正文语种 eng
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