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Micro-polarimetry for Pre-Clinical Diagnostics of Pathological Changes in Human Tissues

机译:微旋光法在人类组织病理变化的临床前诊断中

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The paper presents a practical study of several methods of image analysis applied to polarimetric images of regular and malignant human tissues. The images of physiological and pathologically changed tissues from body and cervix of uterus, intestine, kidneys and breast were recorded in transmitted light of different polarization state. The set up of the conventional optical microscope with CCD camera and rotating polarizer's were used for analysis of the polarization state of the light transmitted through the tissue slice for each pixel of the camera image. The set of images corresponding to the different coefficients of the Stockes vectors, a 3×3 subset of the Mueller matrix as well as the maps of the magnitude and in-plane direction of the birefringent components in the sample were calculated. Then, the statistical analysis and the Fourier transform as well as the autocorrelation methods were used to analyze spatial distribution of birefringent elements in the tissue samples. For better recognition of tissue state we proposed a novel method that takes advantage of multiscale image data decomposition The results were used for selection of the optical characteristics with significantly different values for regular and malignant tissues
机译:本文介绍了几种适用于正常和恶性人体组织的偏振图像的图像分析方法的实践研究。在不同偏振态的透射光下记录子宫,小肠,肾脏和乳房的身体和子宫颈的生理和病理改变的组织的图像。使用带有CCD相机和旋转偏光镜的常规光学显微镜的设置,对于相机图像的每个像素,分析通过组织切片透射的光的偏振状态。计算了与Stockes向量的不同系数相对应的图像集,Mueller矩阵的3×3子集以及样品中双折射分量的大小和面内方向的映射。然后,使用统计分析和傅立叶变换以及自相关方法分析组织样本中双折射元素的空间分布。为了更好地识别组织状态,我们提出了一种利用多尺度图像数据分解的新方法。将结果用于选择正常和恶性组织具有明显不同值的光学特性

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