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Micro-polarimetry for Pre-Clinical Diagnosticsof Pathological Changes in Human Tissues

机译:用于预临床诊断的微观偏振 - 人体组织病理变化的临床诊断

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The paper presents a practical study of several methods of image analysis applied to polarimetric images of regular andmalignant human tissues. The images of physiological and pathologically changed tissues from body and cervix ofuterus, intestine, kidneys and breast were recorded in transmitted light of different polarization state. The set up of theconventional optical microscope with CCD camera and rotating polarizer's were used for analysis of the polarizationstate of the light transmitted through the tissue slice for each pixel of the camera image. The set of images correspondingto the different coefficients of the Stockes vectors, a 3x3 subset of the Mueller matrix as well as the maps of themagnitude and in-plane direction of the birefringent components in the sample were calculated. Then, the statisticalanalysis and the Fourier transform as well as the autocorrelation methods were used to analyze spatial distribution ofbirefringent elements in the tissue samples. For better recognition of tissue state we proposed a novel method that takesadvantage of multiscale image data decomposition The results were used for selection of the optical characteristics withsignificantly different values for regular and malignant tissues
机译:本文介绍了应用于常规和血淋淋的人组织的偏振图像的几种图像分析方法的实际研究。在不同偏振状态的透射光中记录来自身体和子宫颈和子宫颈和子宫颈和子宫颈和颈椎的生理和病理改变的组织的图像。使用CCD相机和旋转偏振器的Chononventional光学显微镜的设置用于分析通过组织切片的光透过照相机图像的各个像素的光子分析。计算对应于储存矢量的不同系数的图像,计算穆勒斯矩阵的3x3子集以及样品中的双折射组分的基调和面内方向的图。然后,使用统计分析和傅立叶变换以及自相关方法来分析组织样品中的空间分布。为了更好地识别组织状态,我们提出了一种新颖的方法,即多尺度图像数据分解的举报结果用于选择常规和恶性组织的不同值不同的光学特性

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