磷光
无线
光电子学
充氧
光电探测器
微尺度化学
二极管
材料科学
计算机科学
物理
电信
光学
医学
荧光
数学教育
数学
麻醉
作者
X. Z. Cai,Haijian Zhang,Penghu Wei,Quanlei Liu,Dawid Sheng,Zhen Li,Bozhen Zhang,Guo Yi Tang,Wenxin Zhao,Zhongyin Ye,Xue Zhao,Yang Xie,Yang Dai,Changming Wang,Yuqi Wang,Xin Fu,Lan Yin,Hongshang Peng,He Ding,Guoguang Zhao,Xing Sheng
出处
期刊:Nature Photonics
[Nature Portfolio]
日期:2024-01-24
卷期号:18 (5): 492-500
被引量:9
标识
DOI:10.1038/s41566-023-01374-y
摘要
Real-time detection of tissue oxygenation in the nervous system is crucial in neuroscience studies and clinical diagnostics. Complementary to blood oxygenation levels, the partial pressure of oxygen in brain tissue ( $$p_{{\mathrm{bt}}{{\mathrm{O}}_2}}$$ ) plays a key role in regulating local neural activities and metabolism. Here we develop an implantable optoelectronic probe that wirelessly and continuously monitors $$p_{{\mathrm{bt}}{{\mathrm{O}}_2}}$$ signals in the deep brain of freely moving rodents. The thin-film, microscale implant integrates a light-emitting diode and a photodetector, and is coated with an oxygen-sensitive phosphorescent film. Powered by a battery or an inductive coil, a miniaturized circuit is capable of recording and wirelessly transmitting $$p_{{\mathrm{bt}}{{\mathrm{O}}_2}}$$ signals. The wireless micro-probe captures cerebral hypoxia states in mice in various scenarios, including altered inspired oxygen concentrations and acute ischaemia. In mouse models with seizures, the micro-probe associates temporal $$p_{{\mathrm{bt}}{{\mathrm{O}}_2}}$$ variations in multiple brain regions with electrical stimulations applied to the hippocampus. Our probe and method offer important insights into neuroscience studies regarding neurometabolic coupling and pave the way for the clinical application of implantable wireless optoelectronic probes. A wireless optoelectronic probe integrates a microscale light-emitting diode and a photodetector coated with oxygen-sensitive dyes to monitor the partial pressure of oxygen in the deep brain of freely moving mice.
科研通智能强力驱动
Strongly Powered by AbleSci AI