Multi-Objective Design Automation for Microfluidic Capture Chips
Multi-Objective Design Automation for Microfluidic Capture Chips
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DOI：
10.1109/tnb.2022.3212625
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发表时间：
2022-10
影响因子：
3.9
通讯作者：
Lisa Chen;William H. Grover;Manu Sridharan;P. Brisk
中科院分区：
文献类型：
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作者：
Lisa Chen;William H. Grover;Manu Sridharan;P. Brisk
微流体捕获芯片可用于制备或分析各种不同的化学、生物和医学样品。典型的微流体捕获芯片包含在某些目标（即分子、颗粒、细胞）流过芯片时捕获它们的特征。然而，由于捕获效率和流动阻力之间的固有关系，创建最佳捕获芯片设计是困难的：随着更多的捕获特征被添加到芯片，捕获效率增加，但是附加特征减慢了流体通过芯片的流动。本文介绍了使用多目标优化来生成捕获芯片设计，该设计平衡了最大化目标捕获效率和最小化流体流动阻力之间的权衡。这类重要的微流控芯片的设计自动化以前还没有尝试过。我们的方法在合理的时间内自动产生非支配芯片设计的帕累托前沿，并且这些设计中的大多数具有与手动设计的芯片相当的捕获效率，具有低得多的流动阻力。通过从帕累托前沿的芯片设计中进行选择，用户可以在不超过其应用的流阻限制的情况下获得高捕获效率。
Microfluidic capture chips are useful for preparing or analyzing a wide range of different chemical, biological, and medical samples. A typical microfluidic capture chip contains features that capture certain targets (i.e. molecules, particles, cells) as they flow through the chip. However, creating optimal capture chip designs is difficult because of the inherent relationship between capture efficiency and flow resistance: as more capture features are added to the chip, the capture efficiency increases, but the additional features slow the flow of fluid through the chip. This paper introduces the use of multi-objective optimization to generate capture chip designs that balance the trade-off between maximizing target capture efficiency and minimizing resistance to fluid flow. Design automation for this important class of microfluidic chips has not been attempted previously. Our approach automatically produces a Pareto front of non-dominated chip designs in a reasonable amount of time, and most of these designs have comparable capture efficiency to hand-designed chips with far lower flow resistance. By choosing from the chip designs on the Pareto front, a user can obtain high capture efficiency without exceeding the flow resistance constraints of their application.