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Shell microelectrode arrays (MEAs) for brain organoids.

Qi Huang1, Bohao Tang2, July Carolina Romero3

  • 1Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.

Science Advances
|August 17, 2022
PubMed
Summary
This summary is machine-generated.

Researchers developed novel 3D shell multielectrode array (MEA) caps for brain organoids. These MEA caps enable versatile, high-fidelity electrophysiology recording from organoids, advancing neuroscience research.

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Materials Science

Background:

  • Brain organoids model brain cytoarchitecture and function.
  • Multielectrode arrays (MEAs) are crucial for studying electrogenic cell activity.
  • Conventional MEAs have limited contact area for 3D brain organoids.

Purpose of the Study:

  • To develop novel MEAs for improved brain organoid interrogation.
  • To overcome the limitations of conventional MEAs in recording from 3D structures.
  • To enable high signal-to-noise ratio and spatiotemporal recording from brain organoids.

Main Methods:

  • Designed wafer-integrated, miniaturized MEA caps inspired by EEG caps.
  • Utilized self-folding polymer leaflets with conductive polymer-coated electrodes.
  • Employed mechanics simulations for tunable folding to accommodate different organoid sizes.
  • Validated electrophysiology recording from 400-600 μm organoids for up to 4 weeks.

Main Results:

  • Developed optically transparent, self-folding MEA caps for versatile organoid recording.
  • Demonstrated successful electrophysiology recording and response to glutamate stimulation in brain organoids.
  • Achieved high signal-to-noise ratio and 3D spatiotemporal recording capabilities.
  • Validated recording feasibility for organoids of varying sizes and over extended periods.

Conclusions:

  • 3D shell MEAs represent a significant advancement for brain organoid research.
  • The developed MEA caps offer enhanced capabilities for interrogating complex 3D neural structures.
  • This technology holds great potential for future neuroscience studies and drug discovery.