高光谱成像
化学成像
光学
分子成像
拉曼光谱
医学影像学
材料科学
细胞外小泡
自体荧光
拉曼散射
荧光
核磁共振
物理
计算机科学
生物
人工智能
体内
细胞生物学
生物技术
作者
Yi Sun,Ethan W. Chen,Jalen Thomas,Yuan Liu,Haohua Tu,Stephen A. Boppart
出处
期刊:Optics Letters
[The Optical Society]
日期:2020-06-26
卷期号:45 (13): 3613-3613
被引量:7
摘要
Extracellular vesicles (EVs) have emerged as potential biomarkers in cancer research and for clinical diagnosis. Little is known, however, about their spatial distributions in tissue and the different subpopulations that may exist. Here we report the use of label-free nonlinear optical imaging techniques to provide spatially resolved chemical information of EVs within untreated tissues. A multimodal nonlinear optical imaging system incorporating multiphoton autofluorescence and hyperspectral coherent anti-Stokes Raman scattering (CARS) imaging was built to visualize the spatial tissue distribution and probe the spectra of EVs. K-means clustering is performed on the CARS spectra from EVs in rat mammary tissues and human breast tumor tissue to reveal both the spatial distribution of EV clusters and their different chemical signatures. Correlations are identified between EV clusters and metabolic information.
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