A 3D-Printed Neural Probe with Geometry-Defined Lithography-Free Metallization and Parylene Encapsulation

Abstract Two-photon polymerization enables neural probes with complex three-dimensional geometries, but selectively metallizing and insulating these structures remains challenging. We present a geometry-defined fabrication process that combines trench-guided metallization with vapor-deposited Parylene-C encapsulation and lithography-free electrode exposure. Re-entrant trenches guide line-of-sight Ti/Au evaporation to form electrically separated interconnects connected to electrode sites and contact pads. A conformal Parylene-C coating then seals the high-aspect-ratio trenches over the interconnects, and a timed, maskless O₂ plasma etch-back followed by SF₆/O₂ plasma treatment exposes the electrodes and pads while retaining insulation over the recessed interconnects. We fabricated a prototype comprising a 2 mm-long shank with four mushroom-shaped electrodes, each 15 µm in diameter. Scanning electron microscopy showed metal deposition at the trench bottoms, Parylene-C coverage, and selective electrode exposure after plasma processing. Electrochemical impedance spectroscopy in phosphate-buffered saline showed an impedance magnitude of approximately 1 MΩ at 1 kHz before and after insertion into 0.6% agarose gel. The probe reached a 2 mm insertion depth without observed buckling or fracture. These results demonstrate a fabrication proof of concept for 3D-printed neural probes using geometry-defined metallization and selective Parylene encapsulation, providing a potential route toward scalable fabrication of 3D-printed bioelectronic microsystems

Authors

Institutions

Publication Details

Journal
Research Square
Published
2026-11-06
DOI
https://doi.org/10.21203/rs.3.rs-11627269/v1
Primary Topic
Neuroscience and Neural Engineering
Type
preprint

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
preprint

A 3D-Printed Neural Probe with Geometry-Defined Lithography-Free Metallization and Parylene Encapsulation

Armin Sedighi, Mehedi Hasan, Yong Xu
1 links
Research Square
Neuroscience and Neural Engineering
preprint

A 3D-Printed Neural Probe with Geometry-Defined Lithography-Free Metallization and Parylene Encapsulation

Armin Sedighi, Mehedi Hasan, Yong Xu
preprint en

Abstract

Abstract Two-photon polymerization enables neural probes with complex three-dimensional geometries, but selectively metallizing and insulating these structures remains challenging. We present a geometry-defined fabrication process that combines trench-guided metallization with vapor-deposited Parylene-C encapsulation and lithography-free electrode exposure. Re-entrant trenches guide line-of-sight Ti/Au evaporation to form electrically separated interconnects connected to electrode sites and contact pads. A conformal Parylene-C coating then seals the high-aspect-ratio trenches over the interconnects, and a timed, maskless O₂ plasma etch-back followed by SF₆/O₂ plasma treatment exposes the electrodes and pads while retaining insulation over the recessed interconnects. We fabricated a prototype comprising a 2 mm-long shank with four mushroom-shaped electrodes, each 15 µm in diameter. Scanning electron microscopy showed metal deposition at the trench bottoms, Parylene-C coverage, and selective electrode exposure after plasma processing. Electrochemical impedance spectroscopy in phosphate-buffered saline showed an impedance magnitude of approximately 1 MΩ at 1 kHz before and after insertion into 0.6% agarose gel. The probe reached a 2 mm insertion depth without observed buckling or fracture. These results demonstrate a fabrication proof of concept for 3D-printed neural probes using geometry-defined metallization and selective Parylene encapsulation, providing a potential route toward scalable fabrication of 3D-printed bioelectronic microsystems

Research Square
Wayne State University (US)
National Science Foundation
Neuroscience and Neural Engineering
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.

Laika access coming soon