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Barker-Coded node-pore resistive pulse sensing with built-in coincidence correction

机译:具有内置重合校正功能的Barker编码节点-孔电阻脉冲感测

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A resistive pulse sensing device is able to extract quantities such as concentration and size distribution of particles, e.g. cells or microspheres, as they flow through the device's sensor region, i.e. channel, in an electrolyte solution. The dynamic range of detectable particle sizes is limited by the channel dimensions. In addition, signal interference from multiple particles transiting the channel simultaneously, i.e. coincidence event, further hinder the dynamic range. Coincidence data is often considered unusable and is discarded, reducing the throughput and introducing possible biases and errors into the distributions. Here, we propose a two-step solution. We code the channel such that the system response results in a Manchester encoded Barker-Code sequence, allowing us to take advantage of the code's pulse compression properties. We pose the parameter estimation problem as a sparse inverse problem, which enables estimation of particle sizes and velocities while resolving coincidences, and solve it with a successive interference cancellation algorithm. We introduce modifications to the algorithm to account for device fabrication variations and natural stochastic variations in flow. We demonstrate the ability to resolve coincidences and possible increases in the device's dynamic range by screening particles of different size through a Barker encoded device.
机译:电阻脉冲感测装置能够提取诸如颗粒的浓度和尺寸分布之类的量,例如颗粒的浓度和粒径分布。细胞或微球在电解质溶液中流过设备的传感器区域(即通道)时。可检测粒径的动态范围受到通道尺寸的限制。另外,来自同时通过通道的多个粒子的信号干扰,即巧合事件,进一步阻碍了动态范围。巧合数据通常被认为无法使用并被丢弃,从而降低了吞吐量,并在分布中引入了可能的偏差和误差。在这里,我们提出了两步解决方案。我们对通道进行编码,以使系统响应产生曼彻斯特编码的Barker-Code序列,从而使我们能够利用代码的脉冲压缩属性。我们将参数估计问题视为一个稀疏的反问题,它可以在解决重合的同时估计颗粒大小和速度,并使用连续干扰消除算法对其进行求解。我们对算法进行了修改,以解决设备制造变化和流量自然随机变化的问题。通过通过Barker编码的设备筛选大小不同的粒子,我们证明了解决设备动态范围中的巧合和可能增加的能力。

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