Aquacore: a programmable architecture for microfluidics

Aquacore: a programmable architecture for microfluidics
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Aquacore:微流体的可编程架构

DOI:
10.1145/1250662.1250694
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发表时间:
2007
期刊:
TRANSDUCERS 2009 - 2009 International Solid-State Sensors, Actuators and Microsystems Conference
影响因子:
--
通讯作者:
S. Jacobson
S. Jacobson
中科院分区:
--
文献类型:
--
作者:
Ahmed M. Amin;Mithuna Thottethodi;T. N. Vijaykumar;S. Wereley;S. Jacobson

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微流控研究的进步使芯片实验室(LoC)技术实现了生物和化学分析的小型化和集成到单个芯片上,包括通道、阀门、混合器、加热器、分离器和传感器。与传统的台式方法相比,这些微型仪器似乎提供了更快、更便宜和更高精度分析的罕见组合。loc已被广泛应用于蛋白质组学、基因组学、生物化学、病毒学、细胞生物学和化学合成等领域。然而,到目前为止,loc已经被设计为特定于应用程序的芯片,这导致了大量的设计工作、周转时间和成本,并降低了设计人员和用户的工作效率。为了解决这些限制,我们设想了一个可编程LoC (PLoC),并提出了一个全面的流体指令集,称为AquaCore指令集(AIS),以及一个流体微架构,称为AquaCore,来实现AIS。我们提出了四个关键的设计方面,其中AIS和水产养殖不同于他们的计算机同行,我们的设计决策是基于这些差异的影响。我们通过在AIS中手工编译真实世界的微流控分析来演示PLoC在一系列领域中的使用,并显示了分析执行时间的详细细分和芯片面积的估计。
Advances in microfluidic research has enabled lab-on-a-chip (LoC) technology to achieve miniaturization and integration of biological and chemical analyses to a single chip comprising channels, valves, mixers, heaters, separators, and sensors. These miniature instruments appear to offer the rare combination of faster, cheaper, and higher-precision analyses in comparison to conventional bench-scale methods. LoCs have been applied to diverse domains such as proteomics, genomics, biochemistry, virology, cell biology, and chemical synthesis. However, to date LoCs have been designed as application-specific chips which incurs significant design effort, turn-around time, and cost, and degrades designer and user productivity. To address these limitations, we envision a programmable LoC (PLoC) and propose a comprehensive fluidic instruction set, called AquaCore Instruction Set (AIS), and a fluidic microarchitecture, called AquaCore, to implement AIS. We present four key design aspects in which the AIS and AquaCore differ from their computer counterparts, and our design decisions made on the basis of the implications of these differences. We demonstrate the use of the PLoC in a range of domains by hand-compiling real-world microfluidic assays in AIS, and show a detailed breakdown of the execution times for the assays and an estimate of the chip area.
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影响因子: 56.9
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