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多层连续流微流体生物芯片的动态拓扑感知流路构建与调度优化.pdf

上传人: 芦苇 编号:651843 2025-05-01 15页 622.95KB

1、Dynamic Topology-Aware Flow PathConstruction and Scheduling Optimizationfor Multilayered Continuous-FlowMicrofluidic BiochipsMeng Lian,Shucheng Yang,Mengchu Li,Tsun-Ming Tseng,and Ulf SchlichtmannTechnical University of Munich,Munich,GermanyOutline1.Multilayered Continuous-Flow Microfluidic Biochips

2、2.Challenges Conflict Dynamic Topological Change3.Our Method Problem Formulation Quadratic Programming Model4.Experimental Results21.Multilayered Continuous-Flow Microfluidic Biochips3Fig.1:Schematic of a multilayered continuous-flow microfluidic biochips.2.Challenges Conflict Parallel-executed oper

3、ations Contaminated reaction products Unexpected channel blockages Limitations of existing methods Identification1:fluids traverse common components.Resolution:sequential execution4source:1 Wajid Hassan Minhass,Paul Pop,and Jan Madsen.System-level modeling and synthesis of flow-based microfluidic bi

4、ochips,CASES,2011.2 Tsun-Ming Tseng et al.Columba 2.0:A co-layout synthesis tool for continuous-flow microfluidic biochips,IEEE TCAD,2018.Fig.2:A partial biochip synthesized using Columba 2.02.2.Challenges Dynamic Topological Change Hydraulic behavior Hagen-Poiseuilles law3 Ohms law Recall Equivalen

5、t fluid circuit:5source:3 Kwang W.Oh,Kangsun Lee,Byungwook Ahn,and Edward P.Furlani.Design of pressure-driven microfluidic networks using electric circuit analogy,Lab Chip,2012.(a)(b)2.Challenges Dynamic Topological Change Constant flow velocity1,4 Non-serial connection Parallel connection:Bridge co

6、nnection:6source:1 Wajid Hassan Minhass,Paul Pop,and Jan Madsen.System-level modeling and synthesis of flow-based microfluidic biochips,CASES,2011.4 Wajid Hassan Minhass et al.Scheduling and fluid routing for flow-based microfluidic laboratories-on-a-chip,IEEE TCAD,2018.(a)(b)2.Challenges Dynamic To

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本文提出了一种针对多层连续流微流控生物芯片的动态拓扑感知流路径构造和调度优化方法。文章首先概述了多层连续流微流控生物芯片的原理,然后指出了现有方法面临的挑战,包括操作冲突和动态拓扑变化等问题。作者提出的问题表述和二次规划模型,旨在解决流路径的有效构建和生物实验的最优化安排。实验结果显示,该方法在减少生物实验完成时间上,相较于传统方法有显著优势,如在案例4中,完成了高达89.2%的改进。通过对比实验,验证了该方法在提高微流控生物芯片操作效率方面的有效性。
"多层连续流微流控生物芯片如何实现动态拓扑优化?" "如何解决微流控生物芯片中并行操作的冲突问题?" "基于二次规划模型的流路构造有哪些关键因素?"
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