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首页> 外文期刊>Vibrational Spectroscopy: An International Journal devoted to Applications of Infrared and Raman Spectroscopy >High-speed line-focus Raman microscopy with spectral decomposition of mouse skin
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High-speed line-focus Raman microscopy with spectral decomposition of mouse skin

机译:高速线对焦拉曼显微镜,具有鼠标皮的光谱分解

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Line-focus Raman microscope system was designed and constructed for high speed quantitative analysis of Raman spectral maps. Laser line generator lens was used for formation of homogeneous laser power distribution thought the line. Three-dimensional Raman maps of mouse skin were obtained using point and line illumination modes. It was shown that laser line illumination can provide Raman spectrum with signal to noise ratio comparable to point illumination mode. The speed of scanning in line-focus mode achieved is two orders of magnitude faster compared to the point illumination mode, which enables ex vivo measurements of large areas of skin surface during a few minutes. Non-negative least squares (NNLS) decomposition of mouse skin spectral maps was done using keratin, lipids, water, lactate, urea and natural moisture factor (NMF) components as library spectra. Fluorescence background of measured spectra was corrected using the fluorescence profile obtained from time-lapse Raman skin measurements, which was used as additional component in NNLS decomposition procedure. The lateral and depth distribution of major skin components obtained from Raman maps mainly correlates with histological information. High-quality line-focus Raman maps from large sample area expand the possibilities of studying skin chemical components distribution. (C) 2016 Elsevier B.V. All rights reserved.
机译:设计和构造线对焦拉曼显微镜系统,用于拉曼光谱图的高速定量分析。激光线发电机镜头用于形成均匀激光配电思想。使用点和线照明模式获得三维拉曼鼠标皮的地图。结果表明,激光线照明可以提供与点照明模式相当的信号到噪声比率的拉曼光谱。实现的扫描速度在焦点模式下实现的是与点照明模式相比的两个数量级,这使得在几分钟内能够在大面积的皮肤表面上进行exvivo测量。使用角蛋白,脂质,水,乳酸盐,尿素和天然湿度因子(NMF)组分作为文库光谱来完成小鼠皮肤光谱图的非负数最小二乘(NNL)分解。使用从延时拉曼皮肤测量获得的荧光曲线校正测量光谱的荧光背景,其用作NNLS分解过程中的另外的组分。从拉曼地图获得的主要皮肤成分的横向和深度分布主要与组织学信息相关。大型样品区域的高质量线焦点拉曼地图扩大了研究皮肤化学成分分布的可能性。 (c)2016年Elsevier B.v.保留所有权利。

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