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用于阿尔茨海默病超宽视野神经血管成像的均匀分辨率光声显微镜

Homogeneous-resolution photoacoustic microscopy for ultrawide field-of-view neurovascular imaging in Alzheimer's disease.

作者信息

Guo Ting, Xiong Kedi, Yuan Bo, Zhang Zhenhui, Wang Lijuan, Zhang Yuhu, Liang Changhong, Liu Zaiyi

机构信息

School of Medicine South China University of Technology, Guangzhou 510006, China.

Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 510080, China.

出版信息

Photoacoustics. 2023 May 26;31:100516. doi: 10.1016/j.pacs.2023.100516. eCollection 2023 Jun.

Abstract

Neurovascular imaging is essential for investigating neurodegenerative diseases. However, the existing neurovascular imaging technology suffers from a trade-off between a field of view (FOV) and resolution in the whole brain, resulting in an inhomogeneous resolution and lack of information. Here, homogeneous-resolution arched-scanning photoacoustic microscopy (AS-PAM), which has an ultrawide FOV to cover the entire mouse cerebral cortex, was developed. Imaging of the neurovasculature was performed with a homogenous resolution of 6.9 µm from the superior sagittal sinus to the middle cerebral artery and caudal rhinal vein in an FOV of 12 × 12 mm. Moreover, using AS-PAM, vascular features of the meninges and cortex were quantified in early Alzheimer's disease (AD) and wild-type (WT) mice. The results demonstrated high sensitivity to the pathological progression of AD on tortuosity and branch index. The high-fidelity imaging capability in large FOV enables AS-PAM to be a promising tool for precise brain neurovascular visualization and quantification.

摘要

神经血管成像对于研究神经退行性疾病至关重要。然而,现有的神经血管成像技术在全脑的视野(FOV)和分辨率之间存在权衡,导致分辨率不均匀且信息缺失。在此,开发了具有超宽视野以覆盖整个小鼠大脑皮层的均匀分辨率拱形扫描光声显微镜(AS-PAM)。在12×12毫米的视野中,从矢状窦到大脑中动脉和尾侧鼻静脉,以6.9微米的均匀分辨率对神经血管系统进行成像。此外,使用AS-PAM对早期阿尔茨海默病(AD)小鼠和野生型(WT)小鼠的脑膜和皮层的血管特征进行了量化。结果表明,在曲折度和分支指数方面对AD的病理进展具有高敏感性。大视野中的高保真成像能力使AS-PAM成为精确脑神经营血管可视化和量化的有前途的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44f2/10258506/833e313a4700/gr1.jpg

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