Web technology based microelectrode characterization instrument.

Web technology based microelectrode characterization instrument.
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基于网络技术的微电极表征仪器。

DOI:
10.1109/embc.2014.6945200
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发表时间:
2014
期刊:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子:
--
通讯作者:
Bak,Martin
Bak,Martin
中科院分区:
--
文献类型:
--
作者:
Hu,Zhe;Troyk,Philip;DeMichele,Glenn;Kerns,Douglas;Bak,Martin

文献摘要

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为了跟踪神经记录和刺激阵列的持续变化和最终可靠性,定期表征使用环境内的电极阵列是有益的。用于神经刺激或记录研究的微电极在体内与体外可以具有不同的行为,并且一旦植入,实验的成功通常取决于知道电极的稳定性、变化或劣化。本文介绍了一种新的仪器,能够批量表征16个电极使用循环伏安法,电化学阻抗谱和电荷注入测量。软件设计采用了最新的网络技术,极大地方便了研究人员之间的电极数据共享。
In order to track the on-going changes and ultimate reliability of neural recording and stimulation arrays, it is beneficial to regularly characterize electrode arrays within the use environment. Microelectrodes used for neural stimulation or recording research can have different behaviors in-vivo vs. in- vitro, and once implanted the success of the experiment often hinges upon knowing the stability, changes, or deterioration of the electrodes. This paper describes a new instrument that is capable of batch characterizing 16 electrodes using cyclic voltammetry, electrochemical impedance spectroscopy and charge injection measurements. The latest web based technology was applied to the software design, which greatly facilitates electrode data sharing among researchers.