Scalable Fabrication of 3D-Protruded Neural Microelectrodes Using Flexible PCB Technology for High-Fidelity Neural Interfaces

Flexible neural electrodes hold great promise for monitoring electrophysiological activity in the brain, but achieving both fabrication scalability and high signal fidelity remains a significant challenge. Conventional high-performance neural interfaces typically require complex and costly microfabrication processes, while simpler approaches often fail to optimize the electrode–tissue interface. Here, we introduce a scalable, cost-effective platform for fabricating high-performance three-dimensional (3D) neural electrodes using an industrial flexible printed circuit board (fPCB) process. We systematically compare two electrode architectures: (i) recessed microelectrodes with gold (Au) electroless plating, serving as a benchmark, and (ii) 3D protruded microelectrodes formed by tin (Sn) electroplating. To isolate the role of geometry, both electrode types were further functionalized with high-surface-area platinum black (Pt black) and poly(3,4-ethylenedioxythiophene) (PEDOT) coatings. Electrochemical analysis revealed that the Sn-protruded electrodes exhibited lower impedance at 1 kHz and a higher charge storage capacity (CSC) than Au-recessed electrodes. In vivo recordings from the mouse hippocampus further demonstrated that Sn-protruded electrodes achieved a significantly higher signal-to-noise ratio (SNR) and stronger spike amplitudes compared to both bare and coated Au-recessed electrodes. These findings establish 3D protruded electrode geometry as a key determinant of recording fidelity, primarily by reducing the electrode–neuron distance. More broadly, our results demonstrate that the fPCB-based approach provides a rapid, accessible, and scalable route to high-performance neural interfaces, highlighting its potential for widespread adoption in neural engineering.

Authors

Institutions

Publication Details

Journal
ACS Applied Electronic Materials
Published
2025-11-11
DOI
https://doi.org/10.1021/acsaelm.5c02055
Citations
2
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
1.82
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Scalable Fabrication of 3D-Protruded Neural Microelectrodes Using Flexible PCB Technology for High-Fidelity Neural Interfaces

Hyogeun Shin, Namsun Chou, Joon‐Hyung Lee, Minseok Kim et al.
2 citations
ACS Applied Electronic Materials
Neuroscience and Neural Engineering
1.82
article

Scalable Fabrication of 3D-Protruded Neural Microelectrodes Using Flexible PCB Technology for High-Fidelity Neural Interfaces

Hyogeun Shin, Namsun Chou, Joon‐Hyung Lee, Minseok Kim, Seungjun Lee, Sehwan Park, Giheon Kim, Haeyun Lee
article en
2 citations

Abstract

Flexible neural electrodes hold great promise for monitoring electrophysiological activity in the brain, but achieving both fabrication scalability and high signal fidelity remains a significant challenge. Conventional high-performance neural interfaces typically require complex and costly microfabrication processes, while simpler approaches often fail to optimize the electrode–tissue interface. Here, we introduce a scalable, cost-effective platform for fabricating high-performance three-dimensional (3D) neural electrodes using an industrial flexible printed circuit board (fPCB) process. We systematically compare two electrode architectures: (i) recessed microelectrodes with gold (Au) electroless plating, serving as a benchmark, and (ii) 3D protruded microelectrodes formed by tin (Sn) electroplating. To isolate the role of geometry, both electrode types were further functionalized with high-surface-area platinum black (Pt black) and poly(3,4-ethylenedioxythiophene) (PEDOT) coatings. Electrochemical analysis revealed that the Sn-protruded electrodes exhibited lower impedance at 1 kHz and a higher charge storage capacity (CSC) than Au-recessed electrodes. In vivo recordings from the mouse hippocampus further demonstrated that Sn-protruded electrodes achieved a significantly higher signal-to-noise ratio (SNR) and stronger spike amplitudes compared to both bare and coated Au-recessed electrodes. These findings establish 3D protruded electrode geometry as a key determinant of recording fidelity, primarily by reducing the electrode–neuron distance. More broadly, our results demonstrate that the fPCB-based approach provides a rapid, accessible, and scalable route to high-performance neural interfaces, highlighting its potential for widespread adoption in neural engineering.

ACS Applied Electronic MaterialsVol. 7(22)
Daegu Gyeongbuk Institute of Science and Technology (KR), Kyungpook National University (KR), Korea Institute of Brain Science (KR), Korea Brain Research Institute (KR)
Openalex Percentile: Top 13%
Neuroscience and Neural Engineering
1.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.