数字微流控生物芯片中液滴路径的方法

K. Singha, T. Samanta, H. Rahaman, Parthasarathi Dasguptay
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引用次数: 15

摘要

数字微流控生物芯片(DMFB)的设计和应用是当前具有挑战性的研究领域之一。它是用来分析不同的生物样品,如蛋白质,血清等使用一组电控电极。本文研究了DMFB设计中的一个具有挑战性的问题。具体来说,所考虑的设计问题与高性能液滴路由有关,其中每个液滴具有单个源位置和单个目标位置。目标是(i)最小化DMFB中使用的电极数量,以及(ii)最小化所有液滴到达目标位置的总路径时间/最后到达时间。在经典最短路径算法的基础上,我们提出了一种简单的多液滴并发路径分配算法,并结合了液滴在竞争情况下的延迟和可能的绕行。该算法还扩展到液滴路由,其中液滴可以有两个源位置和一个目标位置。该算法在Linux平台上实现,实验结果令人鼓舞。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Method of droplet routing in digital microfluidic biochip
One of the challenging research areas nowadays is the design and use of microfluidic biochips, the digital microfluidic biochips (DMFB). It is used for analysis of different biological samples like protein, sirum etc using an array of electrically controlled electrodes. This paper deals with a challenging problem related to the design of DMFB. Specifically the design problem considered is related to high-performance droplet routing, where each droplet has single source location and single target location. The objectives are (i) minimizing the number of electrodes used in the DMFB, and (ii) minimizing total routing time/latest arrival time of all the droplet at their target locations. We propose a simple algorithm for concurrent path allocation to multiple droplets, based on the classical shortest-path algorithm, together with the use of stalling, and possible detouring of droplets in cases of contentions. The algorithm is also extended to droplet routing where a droplet may have two source positions and a single target position. The algorithm is implemented on a Linux platform and empirical results are quite encouraging.
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