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CMOS-Based High-Density Microelectrode Arrays: Technology and Applications

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Emerging Trends in Neuro Engineering and Neural Computation

Part of the book series: Series in BioEngineering ((SERBIOENG))

Abstract

Functional analysis of brain activity requires high-throughput and high-resolution tools for observation and manipulation. One approach is the use of microelectrode arrays (MEAs) for long-term in vitro extracellular recording of electrical activity from multiple neurons. Electrodes arranged on a planar substrate detect electric signals from surrounding neurons produced by ionic current flow through the cell membranes. Despite the advantages, MEA data analyses have been limited to extract parameters as a population average (e.g., firing rate). In order to extract information at the single-neuron or subcellular level, MEAs with high spatiotemporal resolution and good signal quality are required. In this chapter, we introduce the current trends on the technology and applications of complementary metal–oxide–semiconductor or CMOS-based high-density microelectrode arrays (HDMEAs). We review the recent HDMEA applications that facilitate single neuron and neuronal network studies and accelerate drug screening and biomarker discovery.

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Authors and Affiliations

  1. Bio Engineering Laboratory, Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland

    Marie Engelene J. Obien, Wei Gong, Urs Frey & Douglas James Bakkum

  2. MaxWell Biosystems, Basel, Switzerland

    Marie Engelene J. Obien & Urs Frey

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  1. Marie Engelene J. Obien
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  2. Wei Gong
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  3. Urs Frey
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  4. Douglas James Bakkum
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Correspondence to Marie Engelene J. Obien .

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Editors and Affiliations

  1. Geelong Waurn Ponds Campus, Deakin University, Institute for Intelligent Systems Research and Innovation, 3216 Waurn Ponds, Victoria, Australia

    Asim Bhatti

  2. Mayo Clinic, 55905 Rochester, Minnesota, USA

    Kendall H. Lee

  3. Materials Science and Engineering, Georgia Institute of Technology, 30332-0245 Atlanta, Georgia, USA

    Hamid Garmestani

  4. Geelong Waurn Ponds Campus, Deakin University, Institute for Intelligent Systems Research and Innovation, 3216 Waurn Ponds, Victoria, Australia

    Chee Peng Lim

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Obien, M.E.J., Gong, W., Frey, U., Bakkum, D.J. (2017). CMOS-Based High-Density Microelectrode Arrays: Technology and Applications. In: Bhatti, A., Lee, K., Garmestani, H., Lim, C. (eds) Emerging Trends in Neuro Engineering and Neural Computation. Series in BioEngineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-3957-7_1

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