Nkengne A, Robic J, Seroul P, Gueheunneux S, Jomier M, Vie K
Laboratoires Clarins, Pontoise, France.
Newtone Technologies, Lyon, France.
Skin Res Technol. 2018 Feb;24(1):99-107. doi: 10.1111/srt.12396. Epub 2017 Aug 2.
An accurate way to determine skin pigmentation is to acquire the spectral reflectance of a skin sample and to quantify chromophores by reverse calculation from physical models of light propagation. Therefore, we tested a new hyperspectral imaging device and software suite, the SpectraCam system, and evaluated its accuracy to quantify skin chromophores.
Validation of the SpectraCam system was performed by, firstly, comparing the known and the acquired reflectance spectra of color phantoms. Repeatability and reproducibility were then evaluated by two operators who performed acquisitions at different time points and compared the acquired reflectance spectra. The specificity of the system was tested by quantitative analysis of single chromophore variation models: lentigo and pressure relief. Finally, we tested the ability of the SpectraCam system to detect variations in chromophore in the eye region due to the daily application of a new anti-dark circle cosmetic product.
The SpectraCam system faithfully acquires the reflectance spectra of color phantoms (r >0.90). The skin reflectance spectra acquired by different operators at different times are highly repeatable (r >0.94) and reproducible (r >0.99). The SpectraCam system can also produce qualitative maps that reveal local variations in skin chromophore or underlying structures such as blood vessels. The system is precise enough to detect melanin variation in lentigo or total hemoglobin and oxygen saturation variations upon pressure relief. It is also sensitive enough to detect a decrease in melanin in the eye region due to the application of an anti-dark circle cosmetic product.
The SpectraCam system proves to be rapid and produces high-resolution data encompassing a large field of view. It is a robust hyperspectral imaging system that quantifies melanin, total hemoglobin, and oxygen saturation and is well adapted to cosmetic research.
确定皮肤色素沉着的一种准确方法是获取皮肤样本的光谱反射率，并通过光传播物理模型的反向计算来量化发色团。因此，我们测试了一种新的高光谱成像设备和软件套件SpectraCam系统，并评估了其量化皮肤发色团的准确性。
对SpectraCam系统进行验证，首先比较彩色模型的已知反射光谱和采集到的反射光谱。然后由两名操作员在不同时间点进行采集并比较采集到的反射光谱，以此评估该系统的重复性和再现性。通过对单个发色团变化模型（雀斑和压力释放）进行定量分析来测试该系统的特异性。最后，我们测试了SpectraCam系统检测由于每日使用一种新的抗黑眼圈化妆品而导致的眼部区域发色团变化的能力。
SpectraCam系统能如实采集彩色模型的反射光谱（r>0.90）。不同操作员在不同时间采集的皮肤反射光谱具有高度重复性（r>0.94）和再现性（r>0.99）。SpectraCam系统还可以生成定性图，揭示皮肤发色团或诸如血管等潜在结构的局部变化。该系统足够精确，能够检测雀斑中的黑色素变化或压力释放时总血红蛋白和氧饱和度的变化。它也足够灵敏，能够检测由于使用抗黑眼圈化妆品而导致的眼部区域黑色素减少。
SpectraCam系统被证明速度快，能产生涵盖大视野的高分辨率数据。它是一个强大的高光谱成像系统，可量化黑色素、总血红蛋白和氧饱和度，非常适合化妆品研究。
