利用纹理和分形分析对光散射光谱图像中的细胞核进行分类

R. Dobrescu, M. Dobrescu, L. Ichim
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引用次数: 1

摘要

本文介绍了一种新颖的实验光学LSS系统,该系统可用于生物样品的后向散射Mie扩散光谱测定。为了评估病毒感染的效果,软件包执行分形分析的光谱和纹理分析的相关显微图像。最后,提出了一种利用分形特征和纹理特征相结合的方法对细胞核进行分类,并对病毒感染和未感染的生物样本进行区分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using texture and fractal analysis for classification of cell nuclei from light scattering spectroscopic images
The paper presents an original experimental optical LSS system which allows backscattering Mie diffusion spectra determination for biological samples. With the aim of evaluating viral infection effects, a software package performs fractal analysis of the spectra and texture analysis of the associated microscopic images. Finally a method for the classification of cell nuclei and the discrimination between virus infected and non-infected biological samples using a combined vector of the computed fractal and texture features is proposed.
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