CEA-LETI, Minatec, 17 rue des Martyrs, Grenoble Cedex 9, 38054, France and GIPSA-Lab/DIS, CNRS, UMR 5216, BP Saint Martin d'Hères Cedex, France.
J Biomed Opt. 2010 Sep-Oct;15(5):056009. doi: 10.1117/1.3491796.
Fluorescence imaging in diffusive media is an emerging imaging modality for medical applications that uses injected fluorescent markers that bind to specific targets, e.g., carcinoma. The region of interest is illuminated with near-IR light and the emitted back fluorescence is analyzed to localize the fluorescence sources. To investigate a thick medium, as the fluorescence signal decreases with the light travel distance, any disturbing signal, such as biological tissues intrinsic fluorescence (called autofluorescence) is a limiting factor. Several specific markers may also be simultaneously injected to bind to different molecules, and one may want to isolate each specific fluorescent signal from the others. To remove the unwanted fluorescence contributions or separate different specific markers, a spectroscopic approach is explored. The nonnegative matrix factorization (NMF) is the blind positive source separation method we chose. We run an original regularized NMF algorithm we developed on experimental data, and successfully obtain separated in vivo fluorescence spectra.
荧光成像是一种新兴的医学应用成像模式，它使用注射入体内的荧光标记物与特定的靶标（例如癌）结合。感兴趣的区域用近红外光照射，分析发射的背向荧光以定位荧光源。为了研究厚介质，由于荧光信号随光传播距离的增加而衰减，任何干扰信号，如生物组织固有荧光（称为自体荧光），都是一个限制因素。还可以同时注入几种特定的标记物来与不同的分子结合，并且人们可能希望将每种特定的荧光信号与其他信号分离。为了去除不需要的荧光贡献或分离不同的特定标记物，可以采用光谱方法。非负矩阵分解（NMF）是我们选择的盲正源分离方法。我们在实验数据上运行了我们开发的原始正则化 NMF 算法，并成功获得了分离的体内荧光光谱。
