Xien Yang, Xiaodong Li, Wenbo Zhao, Xin Cao, Yang Li, Ye Wen, Yanyuan Ding, Xilei Huang, Zeyi Li, Jiefeng Weng, Haoran Li, Sio Hang Pun, Baijun Zhang
{"title":"A Monolithically Integrated Multimodal Low-Artifact Neural Probe for Optogenetic Applications.","authors":"Xien Yang, Xiaodong Li, Wenbo Zhao, Xin Cao, Yang Li, Ye Wen, Yanyuan Ding, Xilei Huang, Zeyi Li, Jiefeng Weng, Haoran Li, Sio Hang Pun, Baijun Zhang","doi":"10.1002/smtd.71108","DOIUrl":null,"url":null,"abstract":"<p><p>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<sup>+</sup>-GaN layer encloses the LED drive and recording interconnects. The RTD‑equipped LED delivers an irradiance of 26.5 mW mm<sup>-2</sup> 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<sup>-1</sup>, and the local temperature rise stays below 1°C. Under irradiance above 50 mW mm<sup>-2</sup>, 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.</p>","PeriodicalId":229,"journal":{"name":"Small Methods","volume":" ","pages":"e71108"},"PeriodicalIF":8.7000,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Small Methods","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1002/smtd.71108","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
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 MethodsMaterials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍:
Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques.
With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community.
The online ISSN for Small Methods is 2366-9608.