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Water content distribution imaging of skin tissue using near-infrared camera and measurement depth analysis

机译:使用近红外摄像头对皮肤组织的水分分布成像和测量深度分析

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Wavelength-dependent light penetration depth in the measurement of water distribution of the skin tissue is analyzed. Near-infrared (NIR) imaging enables 2-D water content map on the skin tissue because water absorbs light strongly in the NIR region particularly around the wavelengths of 1450 and 1920 nm. However, the depth of the light penetration depends largely on wavelength as the absorption coefficient of water changes considerably in the NIR range. We investigate the measurement depth of the water content mapping with a NIR camera and bandpass filters at the wavelengths of 1300, 1450 and 1920 nm. Analysis is performed with Monte Carlo light scattering simulation adopting the optical parameters which is derived from the depth profile of the water contents measured by the confocal Raman spectroscopy. It is found that the NIR image in 1920 nm gives the highest sensitivity to the water content in the surface layer of the skin tissue.
机译:分析了在测量皮肤组织的水分布中与波长有关的光穿透深度。近红外(NIR)成像可以在皮肤组织上绘制二维水含量图,因为水会在NIR区域(尤其是在1450和1920 nm的波长附近)强烈吸收光。但是,由于水的吸收系数在NIR范围内发生很大变化,因此光穿透的深度很大程度上取决于波长。我们研究了使用NIR相机和带通滤光片在1300、1450和1920 nm波长处测得的水分含量的测量深度。使用蒙特卡洛光散射模拟进行分析,该模拟采用从共焦拉曼光谱法测量的水的深度剖面得出的光学参数。发现1920nm的NIR图像对皮肤组织表层中的水分具有最高的灵敏度。

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