Pierre Fabre Dermo Cosmétique, Clinical Research Center, Toulouse, France.
J Biomed Opt. 2018 Sep;23(9):1-12. doi: 10.1117/1.JBO.23.9.096501.
The use of multiphoton imaging has become a standard technique to visualize the dermis fibers as it requires no specific staining. The density and organization of collagen and elastin are common markers of skin intrinsic aging and photoaging; thus, there is a need of grading this skin aging with quantitative indicators able to provide a robust evaluation of the dermis fibers' state. We propose a systematic analysis of multiphoton images of skin biopsies taken on the buttock and the forearm of patients of different ages. The intensity histograms of images were analyzed through their moments, a wavelet decomposition was done, and the wavelet coefficients distribution was fitted by a generalized Gaussian distribution. Different parameters relative to the collagen or elastin densities, organizations, and structures were calculated and exhibit phenomena specific to intrinsic or extrinsic aging. Those indicators could become a standard method to analyze the degree of skin aging (intrinsic or extrinsic) through multiphoton imaging.
多光子成像已成为一种可视化真皮纤维的标准技术，因为它不需要特定的染色。胶原和弹性蛋白的密度和组织是皮肤内在老化和光老化的常见标志物；因此，需要使用能够对真皮纤维状态进行稳健评估的定量指标对这种皮肤老化进行分级。我们提出了一种对取自不同年龄患者臀部和前臂的皮肤活检的多光子图像进行系统分析的方法。通过它们的矩来分析图像的强度直方图，进行小波分解，并使用广义高斯分布拟合小波系数分布。计算出与胶原或弹性蛋白密度、组织和结构相关的不同参数，并表现出内在或外在老化特有的现象。这些指标可以成为通过多光子成像分析皮肤老化（内在或外在）程度的标准方法。
