Digital filtering dissemination for optimizing impedance cytometry signal quality and counting accuracy.
Digital filtering dissemination for optimizing impedance cytometry signal quality and counting accuracy.
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DOI：
10.1007/s10544-022-00636-w
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发表时间：
2022-10-28
影响因子：
2.8
通讯作者：
Hassan, Umer
中科院分区：
文献类型：
--
作者：
Ashley, Brandon K.;Hassan, Umer
改善利用阻抗细胞术的生物传感器性能是许多临床和诊断环境的高度感兴趣的研究课题。在开发过程中，传感器的设计和外部因素都经过严格优化，但通常仍需要改进信号质量和解释，以生产出灵敏和准确的产品。常见的解决方案涉及样品分析后的数字信号处理，但这些方法通常无法提供有意义的信号结果变化。这个缺点可能是由于缺乏对选择和使用信号处理功能的调查研究，因为当前传感器的许多选择都是基于理论结果或估计假设。虽然普遍存在的条件集在不同的阻抗细胞术设计中是不可能的，但需要一种流线型和快速的分析方法来发现独特传感器的这些条件。在这里，我们提出了一个全面传播的数字滤波参数应用于实验阻抗细胞术数据，以确定信号处理的信号质量改善的限制。在数据收集后应用各种滤波器阶数、截止频率和滤波器类型，以实现最高的降噪效果。设计并制作了微流控阻抗式细胞仪，在流动条件下对9 μm聚苯乙烯颗粒进行了测量，实现数字滤波后信号质量提高了6.09dB。然后将该方法转化为分离的人中性粒细胞，其中类似地，与未滤波的原始数据相比，信号质量提高了7.50 dB。通过扫描所有滤波条件并设计一个系统来通过信号质量和对象计数准确度来评估滤波性能，这可以用作未来系统的框架，以确定其适当优化的滤波配置。
Improving biosensor performances which utilize impedance cytometry is a highly interested research topic for many clinical and diagnostic settings. During its development, a sensor’s design and external factors are rigorously optimized, but improvements in signal quality and interpretation are usually still necessary to produce a sensitive and accurate product. A common solution involves digital signal processing after sample analysis, but these methods frequently fall short in providing meaningful signal outcome changes. This shortcoming may arise from a lack of investigative research into selecting and using signal processing functions, as many choices in current sensors are based on either theoretical results or estimated hypotheses. While a ubiquitous condition set is improbable across diverse impedance cytometry designs, there lies a need for a streamlined and rapid analytical method for discovering those conditions for unique sensors. Herein, we present a comprehensive dissemination of digital filtering parameters applied on experimental impedance cytometry data for determining the limits of signal processing on signal quality improvements. Various filter orders, cutoff frequencies, and filter types are applied after data collection for highest achievable noise reduction. After designing and fabricating a microfluidic impedance cytometer, 9 μm polystyrene particles were measured under flow and signal quality improved 6.09 dB when implementing digital filtering. This approached was then translated to isolated human neutrophils, where similarly, signal quality improved 7.50 dB compared to is unfiltered original data. By sweeping all filtering conditions and devising a system to evaluate filtering performance both by signal quality and object counting accuracy, this may serve as a framework for future systems to determine their appropriately optimized filtering configuration.
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影响因子：
17.1
作者：
Koh A;Kang D;Xue Y;Lee S;Pielak RM;Kim J;Hwang T;Min S;Banks A;Bastien P;Manco MC;Wang L;Ammann KR;Jang KI;Won P;Han S;Ghaffari R;Paik U;Slepian MJ;Balooch G;Huang Y;Rogers JA
通讯作者：
Rogers JA
影响因子：
5.7
作者：
Brown MS;Ashley B;Koh A
通讯作者：
Koh A
影响因子：
3.8
作者：
Ashley BK;Hassan U
通讯作者：
Hassan U
DOI：
10.1016/j.ijfoodmicro.2013.02.025
发表时间：
2013-06-03
影响因子：
5.4
作者：
Cho, Il-Hoon;Irudayaraj, Joseph
通讯作者：
Irudayaraj, Joseph
影响因子：
12.6
作者：
Ashley, Brandon K.;Brown, Matthew S.;Koh, Ahyeon
通讯作者：
Koh, Ahyeon