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Proceedings Paper

Assessment of neuropathology of Alzheimer’s disease brain with high-resolution, label-free multi-harmonic generation microscopy
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Paper Abstract

Label-free high-resolution visualization of Alzheimer’s disease (AD) neuropathological hallmark, amyloid β (Aβ) plaques, is one of the prime goals of neuroscience. Till today, traditional histological procedures, which rely on fixation and tedious staining of tissues, can only provide definitive confirmation of AD. However, recent studies have shown that label-free third harmonic generation (THG) microscopy, a virtual transition based technology, can provide structural information of biological tissues with subcellular 3D resolution. In this study, using a 1263 nm Cr: Forsterite laser source, we performed THG studies on 3xTg AD mice brain tissues in vitro, with a focus on contrast origin evaluation for plaques. Our THG study can clearly differentiate, with very high resolution, neuropathological hallmark of AD: Aβ plaques. Moreover, THG can also distinguish white and gray matter along with axons, and soma of brain. The origin of THG contrasts for various structures of brain including AD pathological hallmarks were verified through standard immunohistochemical staining procedures. Our preliminary study has successfully demonstrated the capability of THG in revealing AD histopathological features with sub-femtoliter resolution without the need of any exogenous staining of the tissues.

Paper Details

Date Published: 20 February 2020
PDF: 8 pages
Proc. SPIE 11251, Label-free Biomedical Imaging and Sensing (LBIS) 2020, 112510D (20 February 2020); doi: 10.1117/12.2543875
Show Author Affiliations
Sandeep Chakraborty, National Taiwan Univ. (Taiwan)
Pei-Che Wu, National Taiwan Univ. (Taiwan)
Sheng-Tse Chen, National Taiwan Univ. (Taiwan)
Ming-Jang Chiu, National Taiwan Univ. (Taiwan)
Chi-Kuang Sun, National Taiwan Univ. (Taiwan)

Published in SPIE Proceedings Vol. 11251:
Label-free Biomedical Imaging and Sensing (LBIS) 2020
Natan T. Shaked; Oliver Hayden, Editor(s)

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