Solid-state multinuclear magnetic resonance investigation of Pyrex®
Solid-state multinuclear magnetic resonance investigation of Pyrex®
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DOI：
10.1016/j.jnoncrysol.2006.02.085
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发表时间：
2006-08
影响因子：
3.5
通讯作者：
S. Prasad;T. Clark;T. H. Sefzik;H. Kwak;Z. Gan;P. Grandinetti
中科院分区：
文献类型：
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作者：
S. Prasad;T. Clark;T. H. Sefzik;H. Kwak;Z. Gan;P. Grandinetti
本文介绍了数值分析在自体荧光成像病理组织（主要是癌组织）检测中的应用。分析是使用在MathWorks Matlab中创建的应用程序进行的。在氙灯或半导体激光器的紫外线照射下产生的自体荧光图像进行了处理。基于离散的红绿颜色值信息设计并实现了分类函数。统计分析算法的适用性，以精确确定相应的区域癌变病变在疾病的不同阶段被证明。分类函数也被用于实时分析从传统白光内窥镜获得的图像。
This paper presents an application of numerical analysis to autofluorescence imaging for pathological tissue (mainly cancerous) tissue detection. The analysis was carried out using an application created in MathWorks Matlab. Autofluorescence images produced under ultraviolet illumination whose source was a xenon lamp or a semiconductor laser were subjected to processing. Classifying functions were designed and implemented on the basis of information about discrete red and green color values. The suitability of statistical analysis algorithms for the precise determination of areas corresponding to cancerous lesions at different stages of the disease is demonstrated. The classifying functions were also used in the real-time analysis of images obtained from conventional white-light endoscopy.