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Droplet-trace-based array partitioning and a pin assignment algorithm for the automated design of digital microfluidic biochips

机译:基于液滴轨迹的阵列分区和引脚分配算法,用于数字微流控生物芯片的自动化设计

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Microfluidics-based biochips combine electronics with biology to open new application areas such as point-of-care medical diagnostics, on-chip DNA analysis, and automated drug discovery. Bioassays are mapped to microfluidic arrays using synthesis tools, and they are executed through the manipulation of sample and reagent droplets by electrical means. Most prior work on CAD for biochips has assumed independent control of electrodes using a large number of (electrical) input pins. Such solutions are not feasible for low-cost disposable biochips that are envisaged for many field applications. A more promising design strategy is to divide the microfluidic array into smaller partitions and use a small number of electrodes to control the electrodes in each partition. We propose a partitioning algorithm based on the concept of "droplet trace", which is extracted from the scheduling and droplet routing results produced by a synthesis tool. An efficient pin assignment method, referred to as the "Connect-5 algorithm", is combined with the array partitioning technique based on droplet traces. The array partitioning and pin assignment methods are evaluated using a set of multiplexed bioassays.
机译:基于微流体的生物芯片将电子学与生物学结合在一起,从而开辟了新的应用领域,例如即时医疗诊断,片上DNA分析和自动药物发现。使用合成工具将生物测定法定位到微流体阵列,并通过电手段对样品和试剂液滴进行操作来执行生物测定。大多数关于生物芯片CAD的现有工作都假设使用大量(电)输入引脚对电极进行独立控制。这种解决方案对于设想用于许多现场应用的低成本一次性生物芯片是不可行的。一种更有前途的设计策略是将微流体阵列分成较小的分区,并使用少量电极来控制每个分区中的电极。我们提出了一种基于“液滴跟踪”概念的分区算法,该算法是从综合工具产生的调度和液滴路由结果中提取的。一种有效的引脚分配方法,称为“ Connect-5算法”,与基于液滴轨迹的阵列分区技术结合在一起。使用一组多重生物测定法评估阵列分配和引脚分配方法。

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