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基于内源性色团的扩展近红外窗口中的多光谱成像。

Multispectral imaging in the extended near-infrared window based on endogenous chromophores.

机构信息

Washington University School of Medicine, Department of Radiology, St. Louis, Missouri 63110, USA.

出版信息

J Biomed Opt. 2013 Oct;18(10):101318. doi: 10.1117/1.JBO.18.10.101318.

Abstract

To minimize the problem with scattering in deep tissues while increasing the penetration depth, we explored the feasibility of imaging in the relatively unexplored extended near infrared (exNIR) spectral region at 900 to 1400 nm with endogenous chromophores. This region, also known as the second NIR window, is weakly dominated by absorption from water and lipids and is free from other endogenous chromophores with virtually no autofluorescence. To demonstrate the applicability of the exNIR for bioimaging, we analyzed the optical properties of individual components and biological tissues using an InGaAs spectrophotometer and a multispectral InGaAs scanning imager featuring transmission geometry. Based on the differences in spectral properties of tissues, we utilized ratiometric approaches to extract spectral characteristics from the acquired three-dimensional "datacube". The obtained images of an exNIR transmission through a mouse head revealed sufficient details consistent with anatomical structures.

摘要

为了最大限度地减少深部组织散射问题,同时增加穿透深度,我们探索了利用内源性色团在相对未开发的扩展近红外(exNIR)光谱区域(900 至 1400nm)进行成像的可行性。该区域也称为第二近红外窗口,其吸收主要来自水和脂质,几乎没有其他内源性色团,因此几乎没有自发荧光。为了证明 exNIR 用于生物成像的适用性,我们使用 InGaAs 分光光度计和具有透射几何结构的多光谱 InGaAs 扫描成像仪分析了单个组件和生物组织的光学特性。基于组织光谱特性的差异,我们利用比色法从获得的三维“数据立方体”中提取光谱特征。通过小鼠头部传输的 exNIR 获得的图像显示出与解剖结构一致的足够细节。

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