Quantitative evaluation of skin photoaging mechanisms using multi-wavelength analysis of photoacoustic images
Quantitative evaluation of skin photoaging mechanisms using multi-wavelength analysis of photoacoustic images
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使用光声图像的多波长分析定量评估皮肤光老化机制
DOI：
10.1117/12.2579454
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Shiina Tsuyoshi
中科院分区：
文献类型：
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作者：
Takeshima Haruna;Namita Takeshi;Kondo Kengo;Yamakawa Makoto;Shiina Tsuyoshi
近年来，由于光老化加速皮肤老化，由紫外线照射引起的皮肤老化在美容和保健领域引起了关注。弹性蛋白与光老化密切相关。在评价光老化皮肤的弹性蛋白变性的常规方法中，使用Kligman标准评价皮肤切片的Elastica货车Gieson染色图像。然而，这种诊断也存在一些缺点。例如，它是侵入性的，没有代谢功能。此外，其机制尚未完全阐明。在这项研究中，光声成像用于评估皮肤光老化机制与声学分辨率光声显微镜（AR-PAM）。附接到成像头的超声聚焦换能器（50 MHz，6.7 mm焦距）检测光声波。利用AR-PAM测量了25 μ m厚的人面颊和6种不同类型的皮肤老化切片的光声信号分布，测量间隔为20 μm。进行该研究以确定在光声图像中弹性蛋白部分是否可与胶原蛋白部分区分开。在420-520 nm波长处，发现弹性蛋白的光声光谱与胶原的光声光谱之间存在差异。为了检查弹性蛋白和胶原之间的可折叠性，计算420/450 nm波长的信号强度比。胶原蛋白部分的信号强度比高于弹性蛋白部分的信号强度比。这些结果验证了利用光声图像的多波长分析区分弹性蛋白和胶原的可能性。
In recent years, skin aging caused by ultraviolet light exposure has garnered attention in the fields of beauty and health care because photoaging accelerates skin aging. Elastin is closely related to photoaging. In conventional methods for evaluating the elastin degeneration of photoaging skin, Elastica van Gieson staining images of skin section were evaluated using Kligman criteria. However, this diagnosis entails some shortcomings. For example, it is invasive and has no metabolic function. Moreover, its mechanism has not been fully clarified. For this study, photoacoustic imaging was used for evaluating skin photoaging mechanisms with acoustic resolution photoacoustic microscopy (AR-PAM). An ultrasonically focused transducer (50 MHz, 6.7 mm focal length) attached to the imaging head detected photoacoustic waves. Photoacoustic signal distributions of various skin aging sections that were a 25-μm-thick human cheek and buttock skin sections of six types were measured at 20 μm intervals using AR-PAM. This study was conducted to ascertain whether elastin parts are distinguishable from collagen parts in photoacoustic images. A difference was found between the photoacoustic spectrum of elastin and that of the collagen at 420–520 nm wavelengths. To examine the distinguishability between elastin and collagen, the signal intensity ratio of 420/450 nm wavelengths was calculated. The signal intensity ratio of the collagen part is higher than that of the elastin part. These results verified the possibility of discriminating elastin from collagen using multi-wavelength analysis of photoacoustic images.