Phasor analysis of multiphoton spectral images distinguishes autofluorescence components of in vivo human skin
Phasor analysis of multiphoton spectral images distinguishes autofluorescence components of in vivo human skin
复制标题
DOI：
10.1002/jbio.201200244
复制
发表时间：
2014-08-01
影响因子：
2.8
通讯作者：
Gerritsen, Hans C.
中科院分区：
文献类型：
--
作者：
Fereidouni, Farzad;Bader, Arjen N.;Gerritsen, Hans C.
皮肤含有许多自发荧光成分，可以使用光谱成像进行研究。我们采用光谱相量方法分析了在体人体皮肤的双光子激发自发荧光和二次谐波产生图像。该方法允许基于光谱特征的图像分割。皮肤中的各种结构可以被区分，包括角质层、表皮细胞和真皮。光谱相量分析允许调查他们的荧光组成和鉴定的信号从NADH，角蛋白，FAD，黑色素，胶原蛋白和弹性蛋白。有趣的是，两个群体的表皮细胞可以区分不同的黑色素含量。
Skin contains many autofluorescent components that can be studied using spectral imaging. We employed a spectral phasor method to analyse two photon excited auto-fluorescence and second harmonic generation images of in vivo human skin. This method allows segmentation of images based on spectral features. Various structures in the skin could be distinguished, including Stratum Corneum, epidermal cells and dermis. The spectral phasor analysis allowed investigation of their fluorescence composition and identification of signals from NADH, keratin, FAD, melanin, collagen and elastin. Interestingly, two populations of epidermal cells could be distinguished with different melanin content.