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Published on: August 5, 2021
PDMS-based conformable microelectrode arrays with selectable novel 3-D microelectrode geometries for surface
Liang Guo1, Stephen P Deweerth
1Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332 USA. liang.guo@bme.gatech.edu
This study presents novel 3-D microelectrode designs for polydimethylsiloxane (PDMS) microelectrode arrays (MEAs). These advanced geometries offer improved performance for chronic stimulation applications like neural prostheses.
Area of Science:
- Biomedical Engineering
- Materials Science
- Neuroscience
Background:
- Microelectrode arrays (MEAs) are crucial for neural interfaces.
- Current MEA fabrication methods often limit electrode geometry and performance.
- Polydimethylsiloxane (PDMS) offers biocompatibility and flexibility for MEAs.
Purpose of the Study:
- To present a novel fabrication method for polydimethylsiloxane (PDMS) based conformable microelectrode arrays (MEAs).
- To introduce selectable, novel 3-D microelectrode geometries for enhanced performance.
- To enable independent control over 3-D microelectrode geometry parameters.
Main Methods:
- Fabrication of MEAs using PDMS.
- Development of methods to create recessed (simply, conically, exponentially) and protruded-well microelectrode geometries.
- Independent control of recess depth, slope, profile, and protrusion during fabrication.
- Achieved microelectrode diameters as small as 10 micrometers.
Main Results:
- Successfully fabricated MEAs with various 3-D microelectrode geometries.
- Demonstrated independent control over key geometric parameters.
- Identified conically and exponentially recessed electrodes as promising for uniform current density.
- Protruded-well electrodes showed potential for improved contact and efficiency.
Conclusions:
- The presented method allows for precise fabrication of 3-D microelectrode geometries in PDMS MEAs.
- Novel geometries like recessed and protruded-well electrodes offer significant advantages for stimulation applications.
- These advancements hold promise for improving chronic stimulation, neural prostheses, and overall stimulation efficiency.
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