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Open-source Toolkit: Benchtop Carbon Fiber Microelectrode Array for Nerve Recording
Published on: October 29, 2021
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Laser Sharpening of Carbon Fiber Microelectrode Arrays for Brain Recording
Tianshu Dong1, Lei Chen2, Albert Shih3
1Mechanical Engineering, University of Michigan, 2370 GG Brown, 2350 Hayward Street, Ann Arbor, MI 48109.
Summary
A novel laser-based method sharpens carbon fiber microelectrode arrays (MEAs) for brain recording. This technique enables precise control over tip geometry and insulation stripping, crucial for effective neural activity monitoring.
Area of Science:
- Neuroscience
- Materials Science
- Biomedical Engineering
Background:
- Microwire microelectrode arrays (MEAs) are essential for recording neural activity.
- Carbon fiber microwires offer advantages like small diameter and low resistance for MEAs.
- Current sharpening methods for carbon fiber MEAs have significant limitations.
Purpose of the Study:
- To develop and validate a laser-based method for sharpening carbon fiber microwire tips.
- To investigate the impact of laser parameters on tip geometry and insulation stripping.
- To fabricate custom-length carbon fiber MEAs with optimized electrode properties.
Main Methods:
- A laser-based sharpening technique was employed for carbon fiber microwires.
- Experiments varied laser input voltage and transverse speed to study their effects.
- Electrochemical impedance spectroscopy (EIS) was used to evaluate electrode performance at 1 kHz.
Main Results:
- Laser input voltage and traverse speed critically influence tip sharpness and insulation stripping.
- Optimized laser parameters yield sharp tips and short stripped lengths.
- The laser method successfully fabricated carbon fiber MEAs with custom electrode lengths and low impedance.
Conclusions:
- The laser-based approach provides a versatile and effective method for fabricating sharp carbon fiber microwire electrodes for MEAs.
- This technique overcomes limitations of traditional sharpening methods.
- The optimized carbon fiber MEAs are suitable for advanced brain recording applications.

