Shiseido Research Center, Yokohama, Japan.
Appl Spectrosc. 2011 Aug;65(8):924-30. doi: 10.1366/11-06251.
Recently, near-infrared (NIR) imaging has been applied to detecting changes in skin hydration using the water OH band centered near 1460 nm. However, assigning changes in the intensity of the OH band near 1460 nm to changes in the skin's water content is complicated. Consequently, detection of small changes in facial skin water content is difficult. For highly sensitive imaging of facial skin water and oil, a near-infrared unit with a large detection range that includes the CH(3) and CH(2) stretching vibration modes at 1700-1800 nm and the strongest water bands centered near 1920 nm is required. In this study, an extended range indium gallium arsenide near-infrared camera was combined with a diffuse-illumination unit specifically developed for facial skin analysis. Images of water and oil in facial skin were obtained in real time using a combination of interference filters, such as 1950 ± 56 nm for water OH, 1775 ± 50 nm for oil CH, and 1300 ± 40 nm for background reflections. Clear near-infrared images were obtained with little mirror reflection. The water and oil content of facial skin could be evaluated even around the eyes, nose, and sides of the cheeks, which are areas that are difficult to analyze using current commercial devices. Differences were detected in the time-dependent changes of water and oil content in facial skin images obtained after the application of different types of moisturizer. The distribution of both water and oil in the facial skin could be visualized at the same time, and the images could be used to evaluate skin type and skin conditions.
最近,近红外(NIR)成像已被应用于通过水 OH 带在 1460nm 附近的中心来检测皮肤水合变化。然而,将 1460nm 附近的 OH 带强度变化归因于皮肤水分的变化是复杂的。因此,检测面部皮肤水分的微小变化是困难的。为了对面部皮肤的水和油进行高度敏感的成像,需要使用包括 1700-1800nm 处的 CH(3)和 CH(2)伸缩振动模式以及中心在 1920nm 附近的最强水带的大检测范围的近红外单元。在这项研究中,扩展范围的铟镓砷近红外相机与专门为面部皮肤分析开发的漫射照明单元相结合。使用干涉滤光片组合,例如 1950±56nm 用于水 OH,1775±50nm 用于油 CH,1300±40nm 用于背景反射,实时获得面部皮肤中的水和油图像。获得的近红外图像几乎没有镜面反射。即使在眼睛、鼻子和脸颊两侧等难以用当前商业设备分析的区域,也可以评估面部皮肤的水和油含量。使用不同类型的保湿剂后,在获得的面部皮肤水和油含量的时间依赖性变化图像中检测到差异。可以同时可视化面部皮肤中的水和油分布,并且可以使用图像来评估皮肤类型和皮肤状况。