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首页> 外文会议>Proceedings 2015 Innovation amp; Commercialization of Medical Electronic Technology Conference >An image processing in Dielectrophoresis for K562 cells
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An image processing in Dielectrophoresis for K562 cells

机译：介电电泳法处理K562细胞的图像

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摘要

This paper presents image processing technique which consist of filtering and image segmentation using Otsu's Method. This technique is used on the captured image in Dielectrophoresis (DEP) experiment to detect cancer cells (K562). The image processing technique results were measured by referring to mean and standard deviation using histogram. The mean value in the histogram indicates the average number of white and black pixels in that image. The value of standard deviation indicates the processed image able to show overall black and white intensity more precisely. This enables more cells captured and it exhibits more evenly distributed black pixels (cell). The ability of this method has the potential to give a more consistency and reliability in plotting the DEP spectrum from which the electrophysiological parameters were extracted. This would produce a quality image to plot the DEP spectrum and will expedite the progress in identifying the differences between normal and cancerous cells.
机译：本文提出了一种图像处理技术，该技术包括使用Otsu方法的滤波和图像分割。这项技术用于介电电泳（DEP）实验中捕获的图像上以检测癌细胞（K562）。通过使用直方图参考平均值和标准偏差来测量图像处理技术的结果。直方图中的平均值表示该图像中白色和黑色像素的平均数量。标准偏差的值表示处理后的图像能够更精确地显示整体黑白强度。这样可以捕获更多的单元，并且显示出更均匀分布的黑色像素（单元）。此方法的功能可能会在绘制从中提取电生理参数的DEP谱图时提供更大的一致性和可靠性。这将产生高质量的图像以绘制DEP光谱，并加快识别正常细胞与癌细胞之间差异的进展。

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