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Enhancing signals of microfluidic impedance cytometry through optimization of microelectrode array
Authors:Chenyang Zhou  Hailong Shen  Huicheng Feng  Zhibin Yan  Bowen Ji  Xichen Yuan  Ruirong Zhang  Honglong Chang
Institution:1. Unmanned System Research Institute, Northwestern Polytechnical University, Xi'an, P. R. China

MOE Key Laboratory of Micro and Nano Systems for Aerospace, Northwestern Polytechnical University, Xi'an, P. R. China;2. Unmanned System Research Institute, Northwestern Polytechnical University, Xi'an, P. R. China;3. Guangdong Provincial Key Laboratory of Optical Information Materials and Technology & Institute of Electronic Paper Displays, South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou, P. R. China

National Center for International Research on Green Optoelectronics, South China Normal University, Guangzhou, P. R. China;4. MOE Key Laboratory of Micro and Nano Systems for Aerospace, Northwestern Polytechnical University, Xi'an, P. R. China;5. MOE Key Laboratory of Micro and Nano Systems for Aerospace, Northwestern Polytechnical University, Xi'an, P. R. China

Yangtze River Delta Research Institute of NPU, Taicang, P. R. China

Abstract:Microfluidic impedance cytometry shows a great value in biomedical diagnosis. However, the crosstalk between neighboring microelectrodes strongly weakens the impedance signal. Hereby, we demonstrate a novel microfluidic impedance cytometer consisted of sensing electrodes and ground electrodes (GNDs). The simulation reveals a signal enhancement by more than five times with GNDs compared to that without ones. We also found that the linear correlation between the impedance at a high frequency and that at a low frequency varies as microparticle size changes, which can be used for microparticle classification. The study can help with microelectrode optimization and signal processing for microfluidic impedance analysis.
Keywords:impedance cytometry  microfluidics  single-cell analysis
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