用于微流控器件中颗粒时空检测的码分复用电阻脉冲传感器网络
Code-division multiplexed resistive pulse sensor networks for spatio-temporal detection of particles in microfluidic devices
摘要：
基于物理或化学性质对比的悬浮颗粒的空间分离形成了在芯片实验室设备上进行的各种生物测定的基础。为了以电子方式获取这些信息，我们最近推出了一个微流体传感平台，称为微流体CODES，它结合了电阻脉冲传感与码分多址复用集成电传感器网络。在本文中，我们通过采用产生非正交码波形的传感器和一种新的解码算法，结合机器学习技术与最小均方误差估计，提高了微流控CODES的复用能力。作为原理的证明，我们制造了具有10个代码复用传感器的网络的微流体装置，并使用悬浮在磷酸盐缓冲盐水溶液中的细胞对其进行表征。
英文摘要：
Spatial separation of suspended particles based on contrast in their physical or chemical properties forms the basis of various biological assays performed on lab-on-achip devices. To electronically acquire this information, we have recently introduced a microfluidic sensing platform, called Microfluidic CODES, which combines the resistive pulse sensing with the code division multiple access in multiplexing a network of integrated electrical sensors. In this paper, we enhance the multiplexing capacity of the Microfluidic CODES by employing sensors that generate non-orthogonal code waveforms and a new decoding algorithm that combines machine learning techniques with minimum mean-squared error estimation. As a proof of principle, we fabricated a microfluidic device with a network of 10 code-multiplexed sensors and characterized it using cells suspended in phosphate buffer saline solution.
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