Suppr超能文献

皮肤光学透明过程中空间分辨多重激发自体荧光光谱分析的源分离方法

Source separation approach for the analysis of spatially resolved multiply excited autofluorescence spectra during optical clearing of skin.

作者信息

Rakotomanga Prisca, Soussen Charles, Khairallah Grégoire, Amouroux Marine, Zaytsev Sergey, Genina Elina, Chen Hang, Delconte Alain, Daul Christian, Tuchin Valery, Blondel Walter

机构信息

Université de Lorraine, CNRS, CRAN UMR 7039, Vandoeuvre-lès-Nancy, 54500, France.

CentraleSupélec, CNRS, Université Paris-Sud, L2S UMR 8506, Gif-sur-Yvette, 91190, France.

出版信息

Biomed Opt Express. 2019 Jun 18;10(7):3410-3424. doi: 10.1364/BOE.10.003410. eCollection 2019 Jul 1.

Abstract

Spatially resolved multiply excited autofluorescence spectroscopy is a valuable optical biopsy technique to investigate skin UV-visible optical properties in clinics. However, it provides bulk fluorescence signals from which the individual endogenous fluorophore contributions need to be disentangled. Skin optical clearing allows for increasing tissue transparency, thus providing access to more accurate in-depth information. The aim of the present contribution was to study the time changes in skin spatially resolved and multiply excited autofluorescence spectra during skin optical clearing. The latter spectra were acquired on an human skin strip lying on a fluorescent gel substrate during 37 minutes of the optical clearing process of a topically applied sucrose-based solution. A Non Negative Matrix Factorization-based blind source separation approach was proposed to unmix skin tissue intrinsic fluorophore contributions and to analyze the time evolution of this mixing throughout the optical clearing process. This spectral unmixing exploited the multidimensionality of the acquired data, i.e., spectra resolved in five excitation wavelengths, four source-to-detector separations, and eight measurement times. Best fitting results between experimental and estimated spectra were obtained for optimal numbers of 3 and 4 sources. These estimated spectral sources exhibited common identifiable shapes of fluorescence emission spectra related to the fluorescent gel substrate and to known skin intrinsic fluorophores matching namely dermis collagen/elastin and epidermis flavins. The time analysis of the fluorophore contributions allowed us to highlight how the clearing process towards the deepest skin layers impacts skin autofluorescence through time, namely with a strongest contribution to the bulk autofluorescence signal of dermis collagen (respectively epidermis flavins) fluorescence at shortest (respectively longest) excitation wavelengths and longest (respectively shortest) source-to-detector separations.

摘要

空间分辨多重激发自体荧光光谱学是一种在临床上用于研究皮肤紫外-可见光学特性的重要光学活检技术。然而,它提供的是整体荧光信号,需要从中解析出各个内源性荧光团的贡献。皮肤光学透明化可提高组织透明度,从而获取更准确的深度信息。本研究的目的是研究在皮肤光学透明化过程中皮肤空间分辨和多重激发自体荧光光谱随时间的变化。在局部应用基于蔗糖的溶液进行37分钟光学透明化过程中,在置于荧光凝胶基质上的人体皮肤条上采集了后者的光谱。提出了一种基于非负矩阵分解的盲源分离方法,以解析皮肤组织内源性荧光团的贡献,并分析在整个光学透明化过程中这种混合的时间演变。这种光谱分解利用了采集数据的多维性,即在五个激发波长、四个源探测器间距和八个测量时间点解析的光谱。对于3个和4个源的最佳数量,获得了实验光谱和估计光谱之间的最佳拟合结果。这些估计的光谱源呈现出与荧光凝胶基质以及与已知皮肤内源性荧光团相匹配的常见可识别荧光发射光谱形状,即真皮胶原蛋白/弹性蛋白和表皮黄素。对荧光团贡献的时间分析使我们能够突出向最深皮肤层的透明化过程如何随时间影响皮肤自体荧光,即在最短(分别最长)激发波长和最长(分别最短)源探测器间距下,真皮胶原蛋白(分别表皮黄素)荧光对整体自体荧光信号的贡献最强。

相似文献

引用本文的文献

1
Recent progress in optical probing and manipulation of tissue: introduction.组织光学探测与操控的最新进展:引言
Biomed Opt Express. 2019 Sep 13;10(10):5159-5161. doi: 10.1364/BOE.10.005159. eCollection 2019 Oct 1.

本文引用的文献

1
Recent progress in tissue optical clearing for spectroscopic application.组织光学透明化在光谱学应用中的最新进展。
Spectrochim Acta A Mol Biomol Spectrosc. 2018 May 15;197:216-229. doi: 10.1016/j.saa.2018.01.085. Epub 2018 Feb 3.
8
Recent progress in tissue optical clearing.组织光学透明化的最新进展。
Laser Photon Rev. 2013 Sep;7(5):732-757. doi: 10.1002/lpor.201200056. Epub 2013 Feb 5.
10
Optical techniques for the noninvasive diagnosis of skin cancer.光学技术在皮肤癌非侵入性诊断中的应用。
J Cancer Res Clin Oncol. 2013 Jul;139(7):1083-104. doi: 10.1007/s00432-013-1423-3. Epub 2013 Apr 4.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验