基于电阻抗成像技术的细胞检测传感器开发

Development of cell detection sensor based on electrical impedance tomography technology

现有的电阻抗成像(EIT)方法多用于大尺度目标物的检测,对小尺度的目标物检测精度低。针对这一问题,本文开发了一种由印刷电路板(PCB)制作、低成本、小尺度的EIT传感器,可用于细胞检测领域。首先,设计了一种用于细胞检测的传感器,并通过有限元仿真对比了不同成像算法(Landweber算法和Tikhonov算法)和不同电极数量对成像效果的影响。结果显示:Tikhonov算法的图像重构效果明显优于Landweber算法,且随着电极数量的增加,图像相关系数逐渐增大,且在Tikhonov算法下,八电极的图像相关系数超过了0.8;最后,对八电极传感器进行了实验验证,对观背青鳉鱼鱼卵发育过程进行了监测,验证了EIT系统对细胞监测的可行性。

The existing electrical impedance tomography(EIT)methods are mostly used for the detection of large-scale targets,and the detection precision of small-scale targets is low.Aiming at this problem,a low-cost,small-scale electrical impedance tmography sensor made of printed ciruit board(PCB)is developed,which can be used in the field of cell detection.Firstly,a sensor for cell detection is designed,and the effects of different imaging algorithms,Landweber algorithm and Tikhonov algorithm,and different electrode numbers on the imaging effect are compared through finite element simulation.The results show that the image reconstruction effect of Tikhonov algorithm is obviously better than that of Landweber algorithm.With the increase of the number of electrodes,the image correlation coefficient gradually increases,and under the Tikhonov algorithm,the image correlation coefficient of the eight electrodes exceeds 0.8.Finally,the eight-electrode sensor is experimentally verified,and the development process of Oryzias latipes eggs is monitored,which verifies the feasibility of EIT system for cell monitoring.