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Nissl Stained Rat Brain Cell Image Analysis Post Exposure to Electromagnetic Fields Using Image Processing Techniques

机译:使用图像处理技术将Nissl染色的大鼠脑细胞图像分析暴露于电磁场后

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Studies have shown that mobile phones which emit high-frequency electromagnetic fields have a bleak effect on the human brain. However, the results are found to be inconsistent pertaining to the exact nature of thump it causes with respect to the changes in the brain cell morphology, cell structure, cell shape, cell size, nuclei count and apoptosis. The paper intends to demonstrate novel techniques developed to elucidate the effect of electromagnetic fields (EMF) exposure on neuronal cells of post-natal rats as subjects. The brain cell images of the subjects, prior and post exposure to the electromagnetic fields (EMF) are obtained using the Cresyl Violet (Nissl) Staining method. The images are then subjected to analysis using pre-processing techniques such as average filtering combined with median filtering to denoise the Nissl stained cell images, image enhancement techniques like local enhancement using CLAHE algorithm for abating the pixel intensity variations. The image procured after pre-processing is then segmented using a hybrid segmentation technique that integrates adaptive single seed region growing and threshold based segmentation to obtain separate cells and analyzes them for apoptosis. A novel technique using distance transform with maxima propagation has been developed for automated cell counting. The end results intend to limn the accuracy of the developed cell counting and segmentation techniques over the manual approach. And also, to delineate the impact of electromagnetic fields (EMF) radiations beyond a threshold value at the neuronal level.
机译:研究表明,发射高频电磁场的手机会对人脑产生暗淡的影响。然而,发现的结果与关于脑细胞形态,细胞结构,细胞形状,细胞大小,细胞核数量和凋亡的变化所引起的th击的确切性质不一致。本文旨在展示开发出的新技术,以阐明电磁场(EMF)暴露对作为受试者的产后大鼠神经元细胞的影响。使用Cresyl Violet(Nissl)染色方法获得受试者在暴露于电磁场(EMF)之前和之后的脑细胞图像。然后使用预处理技术对图像进行分析,例如平均滤波与中值滤波相结合,以对Nissl染色的细胞图像进行降噪;图像增强技术,例如使用CLAHE算法的局部增强,以消除像素强度变化。预处理后获得的图像然后使用混合分割技术进行分割,该技术将自适应单种子区域生长和基于阈值的分割相结合,以获得独立的细胞并分析其凋亡。已经开发了使用具有最大传播的距离变换的新技术来进行自动细胞计数。最终结果旨在通过人工方法来限制已开发的细胞计数和分割技术的准确性。而且,还要在神经元水平上描述超出阈值的电磁场(EMF)辐射的影响。

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