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深度分辨无标记多模态光学成像平台,用于研究组织的形态-分子组成。

Depth resolved label-free multimodal optical imaging platform to study morpho-molecular composition of tissue.

机构信息

Medical University of Vienna, Center for Medical Physics and Biomedical Engineering, Waehringer Guertel 18-20, 1090 Vienna, Austria.

出版信息

Photochem Photobiol Sci. 2019 May 15;18(5):997-1008. doi: 10.1039/c8pp00410b.

DOI:10.1039/c8pp00410b
PMID:30882117
Abstract

Multimodal imaging platforms offer a vast array of tissue information in a single image acquisition by combining complementary imaging techniques. By merging different systems, better tissue characterization can be achieved than is possible by the constituent imaging modalities alone. The combination of optical coherence tomography (OCT) with non-linear optical imaging (NLOI) techniques such as two-photon excited fluorescence (TPEF), second harmonic generation (SHG) and coherent anti-Stokes Raman scattering (CARS) provides access to detailed information of tissue structure and molecular composition in a fast, label-free and non-invasive manner. We introduce a multimodal label-free approach for morpho-molecular imaging and spectroscopy and validate the system in mouse skin demonstrating the potential of the system for colocalized acquisition of OCT and NLOI signals.

摘要

多模态成像平台通过结合互补的成像技术,在单次图像采集时提供大量组织信息。通过合并不同的系统,可以实现比单独使用组成成像模式更好的组织特征描述。将光学相干断层扫描 (OCT) 与非线性光学成像 (NLOI) 技术(如双光子激发荧光 (TPEF)、二次谐波产生 (SHG) 和相干反斯托克斯拉曼散射 (CARS))相结合,可以快速、无标记和非侵入性地获取组织结构和分子组成的详细信息。我们引入了一种用于形态分子成像和光谱学的多模态无标记方法,并在小鼠皮肤中验证了该系统,证明了该系统用于 OCT 和 NLOI 信号共定位采集的潜力。

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