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光声技术在脑组织成像中的应用(特邀)
引用本文:张振辉,王尔褀,石玉娇. 光声技术在脑组织成像中的应用(特邀)[J]. 红外与激光工程, 2022, 51(11): 20220541-1-20220541-7. DOI: 10.3788/IRLA20220541
作者姓名:张振辉  王尔褀  石玉娇
作者单位:1.华南师范大学 激光生命科学教育部重点实验室,广东 广州 510631
基金项目:国家自然科学基金(12174125,61805085);广东省科技计划(2015B020233016,2018A030310519);广州市科技计划(201904010321, 2019050001);广东省基础与应用基础研究基金(2021A1515011874)
摘    要:基于激光诱导超声机制的光声成像技术结合了光学成像的高对比度和超声成像的深穿透性,能无标记、非侵入反映生命体内源性吸收物质的分布,适合啮齿类动物模型全脑的即时成像。为了证明光声技术在脑科学研究和脑疾病监测中的应用,搭建了光声显微成像系统,其空间分辨率可达几十微米,有效成像深度可达1 mm以上,并以APP/PS1转基因阿尔茨海默症(Alzheimer’s disease, AD)模型小鼠和野生型WT小鼠为研究对象,从脑组织切片、离体全脑和活体全脑三个层面探究了光声成像在表征AD鼠和WT鼠脑结构变化和血管网络的能力,证明了光声技术在研究脑疾病发展过程中监控脑结构变化和脑血管网络特征的巨大潜力,可以为诸多脑科学研究和神经退行性疾病发展机制提供更深入的见解。

关 键 词:光声成像   脑成像   阿尔茨海默症   光声血管成像
收稿时间:2022-08-03

Applications of photoacoustic technology in brain tissue imaging (invited)
Affiliation:1.MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, South China Normal University, Guangzhou 510631, China2.College of Biophotonics, South China Normal University, Guangzhou 510631, China
Abstract:Photoacoustic imaging technology based on laser-induced ultrasound mechanism combines the high contrast of optical imaging and the deep penetration of ultrasound imaging, which can reflect the distribution of endogenous absorbents in living organisms in a label-free and non-invasive way, especially suitable for real-time imaging of the whole brain of rodent models. In order to prove the application of photoacoustic imaging technology in brain science research and brain disease monitoring, a photoacoustic microscopic imaging system with spatial resolution of tens of microns and effective imaging depth of more than 1 mm was constructed. Taking APP/PS1 transgenic Alzheimer’s disease (AD) model mice and WT mice as research objects, the ability of photoacoustic imaging in characterizing the brain structure changes and vascular network of AD mice and WT mice was explored from three levels of brain tissue slices, in vitro whole brain and in vivo whole brain. It demonstrates the great potential of photoacoustic imaging technology in monitoring brain structural changes and cerebrovascular network characteristics during the development of brain diseases, which can provide deeper insights into many brain science studies and the development mechanism of neurodegenerative brain diseases.
Keywords:
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