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A Best Path Selection Based Parallel Router for DMFBs

机译:DMFB的基于最佳路径选择的并行路由器

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Recent advances in the design of digital micro fluidic based biochips have revolutionized the area of biochemical analysis especially for low-cost, portable, and disposable devices targeted towards clinical diagnostics applications. A promising category of micro fluidic biochips relies on the principle of electro wetting-on-dielectric, whereby discrete droplets of nanoliter volumes can be manipulated using an array of electrodes. This emerging technology combines electronics with biology to open new application areas such as point-of-care diagnosis, on-chip DNA analysis, and automated drug discovery. With the rapid advancement in micro fluidic and micro fabrication technology the complexity of design is expected to increase enormously as the number of concurrent application of assays in a single device increases significantly. One of the major CAD issues in this area is the concurrent routing of droplets in the design of DMFBs. The objective of droplet routing is to schedule the movement of a number of droplets in a time multiplexed manner to avoid their cross contamination. In this paper we attempted to resolve this problem using a line probe based algorithm to estimate all possible routing paths for each droplets. Thereby we used a graph based model to select the most suitable path for each droplet in the context of collision avoidance, minimization of stalling and optimized utilization of resources. The algorithm guided with problem specific heuristics has been tested with a number of standard test benches and the experimental results obtained so far indicate encouraging developments.
机译:基于数字微流体的生物芯片设计的最新进展彻底改变了生化分析领域,特别是针对面向临床诊断应用的低成本,便携式和一次性设备。微流体生物芯片的一个有前途的类别依赖于电介质上电润湿的原理,从而可以使用电极阵列来操纵纳升体积的离散液滴。这项新兴技术将电子学与生物学相结合,开辟了新的应用领域,例如即时诊断,芯片上DNA分析和自动药物发现。随着微流体和微制造技术的飞速发展,随着在单个设备中同时进行检测的数量显着增加,设计的复杂性预计将大大增加。该领域的主要CAD问题之一是DMFB设计中液滴的并发路由。液滴路由的目的是以时分多路复用的方式安排多个液滴的运动,以避免交叉污染。在本文中,我们尝试使用基于线探针的算法来估计每个液滴的所有可能的路由路径,以解决此问题。因此,我们使用基于图形的模型在避免碰撞,最大程度地减少失速和优化资源利用的情况下为每个液滴选择最合适的路径。以特定问题启发式算法为指导的算法已经在许多标准测试平台上进行了测试,到目前为止获得的实验结果表明了令人鼓舞的发展。

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