基于微电极陈列的嗅觉神经芯片及其测试系统的研制

Development of MEA-based Olfactory Neural Chip and Its Testing System

目的研究基于Multi-Electrode Array(MEA)构建嗅觉神经芯片及其测试系统的方法,并验证系统获取神经电生理和其他电生理信号的有效性。方法首先通过自行研制的72通道神经电信号调理电路和同步采集系统获取MEA芯片上大鼠全心离体心电信号和海马神经网络自发放电生理信号;然后通过此采集系统获取平面MEA芯片上培养新生大鼠嗅球神经细胞而制作成嗅球神经网络细胞芯片的电生理信号,并通过光镜观察嗅球网络生长形态。结果基于MEA传感与检测系统有效地获取了不同培养阶段嗅球神经网络形态所对应的电生理信号,能够用来分析神经网络电生理信号的复杂性和时间编码。结论本文构建的检测平台能够广泛用于神经电生理和神经生物学的研究。

Objective To find an efficient way for developing olfactory neural chip and its measurement system of electro-physiological signals with Multi-electrode Array （ MEA）, furthermore, to verify the efficiency of this detection system for electro-physiological signals of neural system and others. Methods The acquisitions from electro-cardio signals of rat hearts in vitro and from self-issuing signals of hippocampns neural networks on MEA chip, as well the electro-physiological signals of olfactory bulb neural network neuron chios made of cultured neonatal rat olfactory bulb neuron according to different shapes at different culturing periods, were performed with 72-channel signal condition circuits and an acquisition system developed in our lab. Those shapes of olfactory bulb networks at different culturing periods were observed and compared by optical microscopy. Results It was apparent that the detection platform integrated with MEA sensors could be used to capture electro-physiological signals of olfactory bulb neural networks at different cultured periods, and those data acquired could be used to analyze complexity and temporal coding of electrophysiological signals of neural networks. Conclusion The neural signal detection platform developed here is capable of being broadly used on the studies of neural electrophysiology and neural biology .