Statistical Analysis of Excitation-Emission Matrices for Laser-Induced Fluorescence Spectroscopy

被引：8
|
作者：
Maslov, N. A. [1 ,2 ]
Papaeva, E. O. [1 ,2 ]
机构：
[1] Russian Acad Sci, Siberian Branch, Khristianovich Inst Theoret & Appl Mech, Novosibirsk 630090, Russia
[2] Novosibirsk State Univ, Novosibirsk 630090, Russia
来源：
TECHNICAL PHYSICS LETTERS | 2016年 / 42卷 / 07期
基金：
俄罗斯基础研究基金会;
关键词：
PRINCIPAL COMPONENT ANALYSIS; SPECTRA; AUTOFLUORESCENCE; RECOGNITION; TISSUES;
D O I：
10.1134/S1063785016070257
中图分类号：
O59 [应用物理学];
学科分类号：
摘要：
An algorithm for statistical processing of the set of multicomponent excitation-emission matrices for laser-induced fluorescence spectroscopy is proposed that is based on principal component analysis. It is shown for the first time that the fluorescence emission and excitation spectra of unknown fluorophores in optically thin samples can be calculated. Using the proposed algorithm, it is possible to pass from principal components with alternating signs to positive quantities corresponding to the spectra of real substances. The method is applied to a mixture of three fluorescent dyes, and it is demonstrated that the obtained spectra of principal components well reproduce the spectra of initial dyes.
引用
收藏
页码：718 / 721
页数：4
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