首页> 外文会议>2013 8th International Conference on Design amp; Technology of Integrated Systems in Nanoscale Era >A new cross contamination aware routing method with intelligent path exploration in digital microfluidic biochips
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A new cross contamination aware routing method with intelligent path exploration in digital microfluidic biochips

机译:数字微流控生物芯片中具有智能路径探索功能的新型交叉污染感知路由方法

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Digital microfluidic systems in recent years have been developed as an alternative platform for execution of multiple conventional laboratory methods simultaneously on a single planar 2D array of electrodes targeted for biochemical analysis and biomedical applications. Due to its discrete nature droplets can be manipulated through multiple reconfigurable paths derived by preprogrammed electrode actuation sequences through this planar array known as digital microfluidic biochip system. Cross contamination between heterogeneous samples turns out to be a major issue concerned with transportation of droplets and correctness of the detection results for the bioassay protocols -which is highly significant for clinical diagnostics and toxicity monitoring applications. In this paper we have proposed an intelligent route path exploration technique that attempts partially or completely to avoid the number of cross contamination depending on the fluidic constraints employed during routing. The path is further refined using intelligent detour by identifying zones of friction between two adjacent route paths that optimizes the overall route time by reducing the overall time for stalling while routing -as well as further optimization of resources to be utilized. The simulation is carried out on test benches of benchmark suite I and benchmark suite III. The results show improvement in overall as well as average route time and major reduction in the number of crossovers.
机译:近年来,数字微流控系统已开发为可在针对生化分析和生物医学应用的单个平面二维电极阵列上同时执行多种常规实验室方法的替代平台。由于其离散的性质,液滴可以通过被称为数字微流控生物芯片系统的这种平面阵列,通过由预编程的电极驱动序列得出的多个可重构路径进行操纵。异质样品之间的交叉污染已成为与液滴运输和生物测定规程检测结果的正确性有关的主要问题,这对临床诊断和毒性监测应用非常重要。在本文中,我们提出了一种智能的路径探索技术,该技术会部分或完全避免根据路径选择中使用的流体约束来避免交叉污染的次数。通过识别两个相邻路线路径之间的摩擦区域,使用智能绕道来进一步完善路径,该区域通过减少路线选择时的停顿总时间来优化总路线时间,并进一步优化要利用的资源。模拟是在基准套件I和基准套件III的测试平台上进行的。结果表明,总路线时间和平均路线时间都有所改善,并且交叉次数大大减少。

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