A Monolithically Integrated Multimodal Low‐Artifact Neural Probe for Optogenetic Applications

ABSTRACT In optogenetic neural probes, stimulus light intensity monitoring, thermal safety assessment, and stimulation artifact suppression are of critical importance for achieving cell‐type‐specific optical modulation and high‐fidelity neural signal recording. Here, micro light‐emitting diode (µLED) stimulation sources and photodetectors (PDs) were fabricated on a GaN‐based blue LED epitaxial structure on a sapphire substrate, and resistance temperature detectors (RTDs) and metal recording electrodes were monolithically integrated to form a multimodal neural probe. A dual electromagnetic shielding cage formed by metal layers and the n + ‐GaN layer encloses the LED drive and recording interconnects. The RTD‑equipped LED delivers an irradiance of 26.5 mW mm −2 at 0.2 mA, and the PD yields a response voltage of 0.036 V in a brain‑mimicking agar phantom. The RTD exhibits a temperature sensitivity of 2.601 Ω °C −1 , and the local temperature rise stays below 1°C. Under irradiance above 50 mW mm −2 , the dual cage combined with transient pulse shaping reduces the average artifact from 260 to 8.75 µV, approaching the system noise floor. In vitro simulated recordings in PBS demonstrate stable recording and basic discrimination of simulated neural‐like waveforms under LED stimulation. This work lays a foundation for multimodal integration and low‐artifact recording in optogenetic neural probes.

Authors

Institutions

Publication Details

Journal
Small Methods
Published
2026-10-09
DOI
https://doi.org/10.1002/smtd.71108
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Monolithically Integrated Multimodal Low‐Artifact Neural Probe for Optogenetic Applications

Xilei Huang, Sio Hang Pun, Xien Yang, Baijun Zhang et al.
Small Methods
Neuroscience and Neural Engineering
article

A Monolithically Integrated Multimodal Low‐Artifact Neural Probe for Optogenetic Applications

Xilei Huang, Sio Hang Pun, Xien Yang, Baijun Zhang, Ye Wen, Jiefeng Weng, Wenbo Zhao, Yanyuan Ding, Xin Cao, Xiaodong Li, Zeyi Li, Haoran Li, Yang Li
article en

Abstract

ABSTRACT In optogenetic neural probes, stimulus light intensity monitoring, thermal safety assessment, and stimulation artifact suppression are of critical importance for achieving cell‐type‐specific optical modulation and high‐fidelity neural signal recording. Here, micro light‐emitting diode (µLED) stimulation sources and photodetectors (PDs) were fabricated on a GaN‐based blue LED epitaxial structure on a sapphire substrate, and resistance temperature detectors (RTDs) and metal recording electrodes were monolithically integrated to form a multimodal neural probe. A dual electromagnetic shielding cage formed by metal layers and the n + ‐GaN layer encloses the LED drive and recording interconnects. The RTD‑equipped LED delivers an irradiance of 26.5 mW mm −2 at 0.2 mA, and the PD yields a response voltage of 0.036 V in a brain‑mimicking agar phantom. The RTD exhibits a temperature sensitivity of 2.601 Ω °C −1 , and the local temperature rise stays below 1°C. Under irradiance above 50 mW mm −2 , the dual cage combined with transient pulse shaping reduces the average artifact from 260 to 8.75 µV, approaching the system noise floor. In vitro simulated recordings in PBS demonstrate stable recording and basic discrimination of simulated neural‐like waveforms under LED stimulation. This work lays a foundation for multimodal integration and low‐artifact recording in optogenetic neural probes.

Small Methods
Sun Yat-sen University (CN), University of Macau (MO), State Key Laboratory of Optoelectronic Materials and Technology
Openalex Percentile: Top 19%
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.