用于神经网络电生理活动成像的高密度微电极阵列

L. Berdondini, T. Overstolz, N. F. Rooij, M. Koudelka-Hep, M. Wany, P. Seitz
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引用次数: 31

摘要

提出了一种用于体外神经网络电生理活动空间和时间分辨图像的高密度微电极阵列的新方法。基于有源像素传感器技术(APS),第一个芯片设计由64 /spl倍/ 64(4096)像素阵列组成,其有源面积为2.56 /spl倍/ 2.56 mm/sup 2/。每个像素的尺寸为40 /spl倍/ 40 /spl mu/m/sup 2/集成一个20 /spl倍/ 20 /spl mu/m/sup 2/的金微电极。像素内差分放大器局部放大细胞外电位,使电极测量电路距离最小化。集成电路具有可编程增益和噪声-速度权衡滤波。通过在高采样频率下寻址所需像素并顺序读取芯片输出来获得网络活动图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-density microelectrode arrays for electrophysiological activity imaging of neuronal networks
Presents a new approach to high-density microelectrode arrays for spatially and temporally resolved images of in-vitro neuronal network electrophysiological activity. Based on active pixel sensor technology (APS), the first chip design consists of an array of 64 /spl times/ 64 (4096) pixels on an active area of 2.56 /spl times/ 2.56 mm/sup 2/. Each pixel has a dimension of 40 /spl times/ 40 /spl mu/m/sup 2/ integrating a gold microelectrode of 20 /spl times/ 20 /spl mu/m/sup 2/. An in-pixel differential amplifier locally amplifies the extracellular potential, minimising the electrode-measuring circuit distance. The integrated circuit has a programmable gain and filtering for noise-speed trade-off. The network activity image is obtained by addressing the desired pixels at high sampling frequency and sequentially reading the chip output.
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