基于微流控芯片的生物细胞电阻抗成像检测技术

doi:10.3901/JME.2019.02.001

机械工程学报 ›› 2019, Vol. 55 ›› Issue (2): 1-9.doi: 10.3901/JME.2019.02.001

• 仪器科学与技术 • 下一篇

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基于微流控芯片的生物细胞电阻抗成像检测技术

姚佳烽^1,3, 刘夏移^2,3, 徐梓菲¹, 赵桐^2,3, 陈柏¹, 吴洪涛¹

1. 南京航空航天大学机电学院南京 210016;
2. 西安理工大学机械与精密仪器工程学院西安 710048;
3. 千叶大学工学部机械工学科千叶 263-0022 日本

收稿日期:2017-09-13 修回日期:2018-08-24 出版日期:2019-01-20 发布日期:2019-01-20
通讯作者: 姚佳烽(通信作者),男,博士,南京航空航天大学讲师,日本千叶大学客座研究员,国际工业过程层析成像学会会员,IEEE会员,中国航空学会会员。2011年获得国家公派资助赴日本留学,于2014年9月在熊本大学取得工学博士学位。2014年10月至2016年9月任日本学术振兴会外国人特别研究员,在千叶大学从事博士后研究。主要研究方向为电阻抗成像技术,多相流检测,生物微流控。E-mail:jiaf.yao@nuaa.edu.cn
基金资助:
国家自然科学基金（51706098，51506175）和江苏省自然科学基金（BK20170792）资助项目

Electrical Impedance Tomography for Biological Cell Sensing with Microfluidic Device

YAO Jiafeng^1,3, LIU Xiayi^2,3, XU Zifei¹, ZHAO Tong^2,3, CHEN Bai¹, WU Hongtao¹

1. College of Mechanical & Electrical Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016;
2. Faculty of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048;
3. Department of Mechanical Engineering, Chiba University, Chiba 263-0022, Japan

Received:2017-09-13 Revised:2018-08-24 Online:2019-01-20 Published:2019-01-20

摘要/Abstract

摘要： 基于多电极阵列微流控芯片通过仿真和试验的方法研究电阻抗成像检测技术（Micro electrical impedance tomography，μEIT）在细胞检测方面的应用，并在微尺度两相流复杂的电气性能中探索重建细胞分布图像的最佳条件。在仿真分析中，对比了三种图像重构算法，其为广义矢量模式匹配法（Generalized vector sampled pattern matching，GVSPM）、Tikhonov正则化迭代法（Tikhonov regularization，TK）和投影Landweber迭代法（Projected landweber iteration，PLW）。仿真结果显示，GVSPM以最高的图像相关性I_C=0.84和最低的图像误差I_E=0.43被认为是本研究中的最佳图形重建算法。在试验研究中，用μEIT系统对酵母菌溶液中的细胞沉降进行了图像重建，试验结果显示，在频率f=1 MHz的情况下，所重建的图像具有最低的电压误差U_E=0.582，故可认为该溶液的最佳成像频率为f=1 MHz。最后，在频率f=1 MHz的情况下，对微流道的三个不同横截面用GVSPM重建细胞沉降图像，结果显示，各个截面的细胞浓度沿着流向下降，与以前研究中的各个截面上细胞浓度值（体积分数）Φ=17.5%下降至Φ=4.9%的结果一致。

关键词: 电位降, 两相流, 图像重构算法, 细胞沉降, 细胞的电气性能

Abstract: A micro electrical impedance tomography (μEIT) system is developed to visualize cells concentration distribution in microchannel flow. Due to the complexity of electrical properties of the μEIT system in micro-scale measurement, simulation and experiments are conducted to find the optimal conditions of the image reconstruction process. In the simulation, three image reconstruction algorithms which are generalized vector sampled pattern matching (GVSPM), iterative tikhonov regularization (TK) and projected landweber iteration (PLW) are estimated, GVSPM is found to be the optimal algorithm for image reconstruction in the present study due to its higher image correlation I_C=0.84 and lower image error I_E=0.43. In the experiment, yeast cells and purified water are employed as two-phase flow to measure the cells sedimentation in the microchannel at a range of frequencies with GVSPM, TK and PLW, respectively. The optimal frequency for the μEIT system is found as f=1 MHz due to its higher measurement sensitivity. GVSPM is found as the optimal image reconstruction algorithm because of its low voltage error U_E=0.582 and simpler image reconstruction without regularization factor. Finally, images of cells sedimentation are reconstructed with GVSPM in three cross-sections in microchannel flow at f=1 MHz. The reconstructed images show that concentration of cells sedimentation from the upstream Z1 to downstream z5 is decreased gradually along the flow direction in the microchannel.

Key words: cell electrical properties, cell sedimentation, image reconstruction algorithm, potential drop, two-phase flow

中图分类号:

TH772

姚佳烽, 刘夏移, 徐梓菲, 赵桐, 陈柏, 吴洪涛. 基于微流控芯片的生物细胞电阻抗成像检测技术[J]. 机械工程学报, 2019, 55(2): 1-9.

YAO Jiafeng, LIU Xiayi, XU Zifei, ZHAO Tong, CHEN Bai, WU Hongtao. Electrical Impedance Tomography for Biological Cell Sensing with Microfluidic Device[J]. Journal of Mechanical Engineering, 2019, 55(2): 1-9.

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基于微流控芯片的生物细胞电阻抗成像检测技术

Electrical Impedance Tomography for Biological Cell Sensing with Microfluidic Device

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