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A Path-Driven Fluid Routing and Scheduling Method for Continuous-Flow Microfluidic Biochips with Delay Time

Zhisheng Chen1, Bowen Liu2,3,4, Hongjin Su2,3,4

  • 1School of Informatics, Xiamen University, Xiamen 361004, China.

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|June 27, 2025
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Summary
This summary is machine-generated.

This study introduces an integrated approach for designing continuous-flow microfluidic biochips (CFMBs), optimizing both routing and application mapping simultaneously. This method significantly enhances physical and operational efficiency, reducing channel length, intersections, and delays.

Keywords:
application mappingconflict awarenesscontinuous-flow microfluidic biochipsparticle swarm optimizationrouting

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Area of Science:

  • Microfluidics
  • Biochip Design
  • Computational Biology

Background:

  • Continuous-flow microfluidic biochips (CFMBs) require efficient routing and application mapping for optimal performance.
  • Current design methods often treat routing and application mapping as separate, leading to suboptimal solutions.
  • Existing routing focuses on physical metrics, while application mapping uses one-shot scheduling, neglecting interdependencies.

Purpose of the Study:

  • To propose an integrated path-driven methodology for jointly optimizing routing and application mapping in CFMBs.
  • To enhance the physical and operational efficiency of CFMB design.
  • To address the limitations of separate routing and scheduling strategies.

Main Methods:

  • Developed a hybrid particle swarm optimization algorithm for routing, incorporating conflict awareness and channel utilization.
  • Introduced an iterative approach for application mapping, using historical scheduling data for progressive optimization.
  • Integrated routing and application mapping into a unified methodology.

Main Results:

  • Achieved a 22.05% reduction in total channel length.
  • Reduced intersections by 21.79%.
  • Decreased total delay time by 21.97% and biochemical reaction completion time by 8.30%.

Conclusions:

  • The integrated methodology effectively optimizes CFMB design by jointly considering routing and application mapping.
  • Significant improvements in physical metrics and operational efficiency were demonstrated compared to state-of-the-art methods.
  • The proposed approach offers an effective solution for automated CFMB design with enhanced performance.