数字微流控生物芯片混合制备中路径感知的资源分配

Sudip Roy, P. Chakrabarti, Srijan Kumar, B. Bhattacharya, K. Chakrabarty
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引用次数: 7

摘要

在数字微流控生物芯片上实现生化实验室方案自动化的过程中,多种生化流体按特定的浓度因子比例进行片上混合是一个具有挑战性的问题。混合算法的性能取决于资源分配,例如,混合模块、存储单元、边界储存器或分配器在芯片底板上的位置。在资源有限的情况下,由于液滴运输过程中流体约束产生的失速,可能会减慢大量流体的混合速度。本文提出了一种路由感知的资源分配技术,该技术可以采用两种基本的混合算法。仿真结果表明,根据混合制备的基本算法不同,该方案平均可将液滴穿过路径的数量减少75.4%或89.7%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Routing-aware resource allocation for mixture preparation in digital microfluidic biochips
On-chip mixing of several biochemical fluids with a specified ratio of concentration factors is a challenging problem in automating biochemical laboratory protocols on a digital microfluidic biochip. The performance of a mixing algorithm depends on resource allocation, e.g., the placement of mixer modules, storage units, boundary reservoirs or dispensers on the chip floor. With a limited number of resources, mixing of a large number of fluids may be slowed down because of the stalls arising out of fluidic constraints during droplet transportation. In this paper, we propose a routing-aware resource allocation technique which can be adopted with two basic mixing algorithms. Simulation results show that on an average, the proposed scheme can reduce the number of droplet crossing paths by 75.4% or by 89.7%, depending on the underlying basic algorithm used for mixture preparation.
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