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深度分辨多模态成像:结合光学相干断层扫描的波长调制空间偏移拉曼光谱技术。

Depth-resolved multimodal imaging: Wavelength modulated spatially offset Raman spectroscopy with optical coherence tomography.

作者信息

Chen Mingzhou, Mas Josep, Forbes Lindsey H, Andrews Melissa R, Dholakia Kishan

机构信息

SUPA, School of Physics and Astronomy, University of St Andrews, St Andrews, UK.

School of Medicine, University of St Andrews, St Andrews, UK.

出版信息

J Biophotonics. 2018 Jan;11(1). doi: 10.1002/jbio.201700129. Epub 2017 Aug 17.

Abstract

A major challenge in biophotonics is multimodal imaging to obtain both morphological and molecular information at depth. We demonstrate a hybrid approach integrating optical coherence tomography (OCT) with wavelength modulated spatially offset Raman spectroscopy (WM-SORS). With depth colocalization obtained from the OCT, we can penetrate 1.2-mm deep into strong scattering media (lard) to acquire up to a 14-fold enhancement of a Raman signal from a hidden target (polystyrene) with a spatial offset. Our approach is capable of detecting both Raman and OCT signals for pharmaceutical particles embedded in turbid media and revealing the white matter at depth within a 0.6-mm thick brain tissue layer. This depth resolved label-free multimodal approach is a powerful route to analyze complex biomedical samples.

摘要

生物光子学中的一个主要挑战是进行多模态成像,以在深度上获取形态学和分子信息。我们展示了一种将光学相干断层扫描(OCT)与波长调制空间偏移拉曼光谱(WM-SORS)相结合的混合方法。借助从OCT获得的深度共定位,我们能够穿透1.2毫米深的强散射介质(猪油),以获取来自隐藏目标(聚苯乙烯)的拉曼信号在空间偏移情况下高达14倍的增强。我们的方法能够检测浑浊介质中嵌入的药物颗粒的拉曼信号和OCT信号,并揭示0.6毫米厚脑组织层内深处的白质。这种深度分辨的无标记多模态方法是分析复杂生物医学样品的有力途径。

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