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Related Experiment Videos

A CMOS-based microelectrode array for interaction with neuronal cultures.

S Hafizovic1, F Heer, T Ugniwenko

  • 1Physical Electronics Laboratory, ETH Zurich, Wolfgang-Pauli Str. 16, 8093 Zurich, Switzerland. sadik.hafizovic@ethz.ch

Journal of Neuroscience Methods
|June 2, 2007
PubMed
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This study presents a new CMOS chip system for bidirectional communication with electrogenic cells, enabling detailed investigation of cellular network electrical activity. The system demonstrated successful neuron stimulation and recording, classifying responses with 83% accuracy.

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Electrical Engineering

Background:

  • Investigating electrical signal propagation in cellular networks is crucial for understanding complex biological functions.
  • Current microelectrode arrays have limitations in stimulation capabilities and recording speed.

Purpose of the Study:

  • To report the system integration of a CMOS chip for bidirectional communication with electrogenic cells.
  • To enable in vitro investigation of electrical signal propagation within cellular networks.
  • To overcome limitations of existing microelectrode arrays for cellular electrophysiology.

Main Methods:

  • A 6.5 mm x 6.5 mm CMOS chip with 128 bidirectional electrodes was developed.
  • The system includes a reconfigurable logic device for chip control and data processing.

Related Experiment Videos

  • PC-based software was used for data acquisition, processing, and visualization.

    • Main Results:

    • The system reliably detected cell signals with low input-referred noise (5.9 microV RMS).
    • Neurons were stimulated with spatio-temporal patterns, and triggered spiking activity was recorded.
    • Response patterns were classified with 83% accuracy relative to stimulation patterns.

    Conclusions:

    • The developed CMOS chip system offers advanced capabilities for stimulating and recording from cellular networks.
    • The system provides advantages over existing technologies, including flexible spatio-temporal stimulation and fast reset mechanisms.
    • This technology facilitates closed-loop experiments with low latency for studying neuronal dynamics.