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A simultaneous optical and electrical in-vitro neuronal recording system to evaluate microelectrode performance.

Zaid Aqrawe1, Nitish Patel2, Yukti Vyas3

  • 1School of Pharmacy, The University of Auckland, Auckland, New Zealand.

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|August 21, 2020
PubMed
Summary

We developed a novel system for high-resolution neural recording using microelectrode arrays and optical imaging. This system effectively evaluated electrode performance, with poly(3,4-ethylenedioxythiophene)/polystyrene sulfonate (PEDOT/PSS) electrodes showing superior results compared to gold.

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Materials Science

Background:

  • Accurate neural recording is crucial for understanding brain function.
  • Evaluating microelectrode performance requires robust and sensitive techniques.
  • Existing methods may lack the necessary spatiotemporal resolution for detailed analysis.

Purpose of the Study:

  • To detail the setup of a high spatiotemporal resolution system for simultaneous electrical and optical neural recording.
  • To evaluate the performance of microelectrode arrays using a novel 'performance factor' metric.
  • To compare the performance of gold and PEDOT/PSS coated electrodes.

Main Methods:

  • Coupled low-noise electrical recording techniques with voltage-sensitive dyes for optical imaging.
  • Utilized a customized amplification system and a high-speed CMOS camera.
  • Characterized electrode performance using signal-to-noise ratio (SNR) and the proposed performance factor.

Main Results:

  • Simultaneous electrical and optical recording of neuronal activity was successfully achieved and validated.
  • Poly(3,4-ethylenedioxythiophene)/polystyrene sulfonate (PEDOT/PSS) electrodes outperformed gold electrodes.
  • The performance factor indicated a 3-fold improvement for PEDOT/PSS over gold, while SNR showed an 8-fold improvement.

Conclusions:

  • A functional system for simultaneous electrical and optical neural recording was successfully developed.
  • The system enables robust evaluation of extracellular microelectrode performance.
  • This technology offers potential for improved detection of neural events and algorithm validation.