Time-domain signal averaging to improve microparticles detection and enumeration accuracy in a microfluidic impedance cytometer.
Time-domain signal averaging to improve microparticles detection and enumeration accuracy in a microfluidic impedance cytometer.
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DOI：
10.1002/bit.27910
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发表时间：
2021-11
影响因子：
3.8
通讯作者：
Hassan U
中科院分区：
文献类型：
--
作者：
Ashley BK;Hassan U
微流控阻抗细胞仪是一种强大的系统，用于测量微和纳米尺寸的颗粒，通常用于点护理设置疾病诊断和其他生物医学应用。然而，在传感器检测极限附近的小物体受到相对较大的背景噪声的困扰，很难在每种情况下识别出来。虽然许多数据处理技术可以用来降低噪声和提高信号质量，但它们往往仍然不足以推动传感器的检测极限。在这里，我们报告了一种新的信号平均算法的首次演示，该算法有效地降低了微流控阻抗细胞术数据的噪声，提高了计数精度并降低了检测限。我们的设备使用22 μm高，100 μm宽（30 μm宽聚焦孔径）的微通道和金共面微电极，产生电场，记录从流过通道的聚苯乙烯微颗粒产生的双极脉冲。除了从理论上概述改进的移动信号平均技术和模型数据集外，我们还进行了表征实验纲要，包括流量、输入电压和粒度的变化。对每个实验的多变量指标进行比较，包括信号幅度、脉冲宽度、背景噪声和信噪比（SNR）。结合我们的技术，在所有实验中都提高了信噪比和计数精度，并且在不改变微通道尺寸的情况下，检测极限从5 μm提高到1 μm。在此之后，我们设想实施改进的移动平均技术来开发具有扩展动态范围和提高枚举精度的下一代微流控阻抗细胞仪。这对于许多生物医学应用非常有用，例如传染病诊断，其中设备可以在同一样品中枚举更大规模的免疫细胞和亚微米细菌。
Microfluidic impedance cytometry is a powerful system to measure micro and nano-sized particles and is routinely used in point-of-care settings disease diagnostics and other biomedical applications. However, small objects near a sensor’s detection limit are plagued with relatively significant background noise and are difficult to identify for every case. While many data processing techniques can be utilized to reduce noise and improve signal quality, frequently they are still inadequate to push sensor detection limits. Here, we report the first demonstration of a novel signal averaging algorithm effective in noise reduction of microfluidic impedance cytometry data, improving enumeration accuracy and reducing detection limits. Our device uses a 22 μm tall by 100 μm wide (with 30 μm wide focused aperture) microchannel and gold coplanar microelectrodes that generates an electric field, recording bipolar pulses from polystyrene microparticles flowing through the channel. In addition to outlining a modified moving signal averaging technique theoretically and with a model dataset, we also performed a compendium of characterization experiments including variations in flow rate, input voltage, and particle size. Multi-variate metrics from each experiment are compared including signal amplitude, pulse width, background noise, and signal-to-noise ratio (SNR). Incorporating our technique resulted in improved SNR and counting accuracy across all experiments conducted, and the limit of detection improved from 5 μm to 1 μm particles without modifying microchannel dimensions. Succeeding this, we envision implementing our modified moving average technique to develop next generation microfluidic impedance cytometry devices with an expanded dynamic range and improved enumeration accuracy. This can be exceedingly useful for many biomedical applications, such as infectious disease diagnostics where devices may enumerate larger-scale immune cells alongside sub-micron bacterium in the same sample.
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影响因子：
0.7
作者：
Hassan, Umer;Anwar, Muhammad Sabieh
通讯作者：
Anwar, Muhammad Sabieh
影响因子：
3.4
作者：
Baumann, Bernhard;Merkle, Conrad W.;Hitzenberger, Christoph
通讯作者：
Hitzenberger, Christoph
DOI：
10.1016/j.ribaf.2004.12.009
发表时间：
2005-09-01
影响因子：
6.5
作者：
Ellis, Craig A.;Parbery, Simon A.
通讯作者：
Parbery, Simon A.
用于体外细胞抗原分类的杂交表面微粒的功能化。
影响因子：
4.3
作者：
Ashley BK;Sui J;Javanmard M;Hassan U
通讯作者：
Hassan U
啮齿动物眼的光谱域光学相干断层扫描：使用信号平均和组织学比较，突出显示外视网膜的层。
影响因子：
3.7
作者：
Berger A;Cavallero S;Dominguez E;Barbe P;Simonutti M;Sahel JA;Sennlaub F;Raoul W;Paques M;Bemelmans AP
通讯作者：
Bemelmans AP