Suppr超能文献

通过微电极阵列记录揭示神经元功能。

Revealing neuronal function through microelectrode array recordings.

作者信息

Obien Marie Engelene J, Deligkaris Kosmas, Bullmann Torsten, Bakkum Douglas J, Frey Urs

机构信息

RIKEN Quantitative Biology Center, RIKEN Kobe, Japan.

RIKEN Quantitative Biology Center, RIKEN Kobe, Japan ; Graduate School of Frontier Biosciences, Osaka University Osaka, Japan.

出版信息

Front Neurosci. 2015 Jan 6;8:423. doi: 10.3389/fnins.2014.00423. eCollection 2014.

Abstract

Microelectrode arrays and microprobes have been widely utilized to measure neuronal activity, both in vitro and in vivo. The key advantage is the capability to record and stimulate neurons at multiple sites simultaneously. However, unlike the single-cell or single-channel resolution of intracellular recording, microelectrodes detect signals from all possible sources around every sensor. Here, we review the current understanding of microelectrode signals and the techniques for analyzing them. We introduce the ongoing advancements in microelectrode technology, with focus on achieving higher resolution and quality of recordings by means of monolithic integration with on-chip circuitry. We show how recent advanced microelectrode array measurement methods facilitate the understanding of single neurons as well as network function.

摘要

微电极阵列和微探针已被广泛用于测量体外和体内的神经元活动。其关键优势在于能够同时在多个位点记录和刺激神经元。然而,与细胞内记录的单细胞或单通道分辨率不同,微电极会检测每个传感器周围所有可能来源的信号。在此,我们回顾了目前对微电极信号的理解以及分析这些信号的技术。我们介绍了微电极技术的最新进展,重点是通过与片上电路的单片集成来实现更高的记录分辨率和质量。我们展示了最近先进的微电极阵列测量方法如何促进对单个神经元以及网络功能的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02bf/4285113/9bebf51a0470/fnins-08-00423-g0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验