机械工程学报 >

2019 , Vol. 55 >Issue 2: 1 - 9

DOI: https://doi.org/10.3901/JME.2019.02.001

仪器科学与技术

基于微流控芯片的生物细胞电阻抗成像检测技术

  • 姚佳烽 ,
  • 刘夏移 ,
  • 徐梓菲 ,
  • 赵桐 ,
  • 陈柏 ,
  • 吴洪涛
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  • 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

  网络出版日期: 2019-01-20

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

收起

Electrical Impedance Tomography for Biological Cell Sensing with Microfluidic Device

  • YAO Jiafeng ,
  • LIU Xiayi ,
  • XU Zifei ,
  • ZHAO Tong ,
  • CHEN Bai ,
  • WU Hongtao
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  • 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 date: 2017-09-13

  Revised date: 2018-08-24

  Online published: 2019-01-20

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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IC=0.84和最低的图像误差IE=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UE=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： 图像重构算法; 电位降; 细胞的电气性能; 细胞沉降; 两相流

本文引用格式

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 . DOI: 10.3901/JME.2019.02.001

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 IC=0.84 and lower image error IE=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 UE=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： image reconstruction algorithm; potential drop; cell electrical properties; cell sedimentation; two-phase flow

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