Laiho Lily H, Pelet Serge, Hancewicz Thomas M, Kaplan Peter D, So Peter T C
Massachusetts Institute of Technology, Department of Mechanical Engineering, 77 Massachusetts Avenue, NE47-276, Cambridge, Massachusetts 02139, USA.
J Biomed Opt. 2005 Mar-Apr;10(2):024016. doi: 10.1117/1.1891370.
Spectral resolved tissue imaging has a broad range of biomedical applications such as the minimally invasive diagnosis of diseases and the study of wound healing and tissue engineering processes. Two-photon microscopy imaging of endogenous fluorescence has been shown to be a powerful method for the quantification of tissue structure and biochemistry. While two-photon excited autofluorescence is observed ubiquitously, the identities and distributions of endogenous fluorophores have not been completely characterized in most tissues. We develop an image-guided spectral analysis method to analyze the distribution of fluorophores in human skin from 3-D resolved two-photon images. We identify five factors that contribute to most of the luminescence signals from human skin. Luminescence species identified include tryptophan, NAD(P)H, melanin, and elastin, which are autofluorescent, and collagen that contributes to a second harmonic signal.
光谱分辨组织成像在生物医学领域有着广泛的应用，如疾病的微创诊断、伤口愈合研究以及组织工程过程研究等。内源性荧光的双光子显微镜成像已被证明是一种用于量化组织结构和生物化学的强大方法。虽然双光子激发的自发荧光普遍存在，但在大多数组织中，内源性荧光团的种类和分布尚未完全明确。我们开发了一种图像引导的光谱分析方法，用于从三维分辨的双光子图像分析人体皮肤中荧光团的分布。我们确定了五个对人体皮肤大部分发光信号有贡献的因素。所识别出的发光物质包括具有自发荧光的色氨酸、NAD(P)H、黑色素和弹性蛋白，以及产生二次谐波信号的胶原蛋白。
