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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.
Micromachines
|June 27, 2025
Summary
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.
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.
