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Success of segmentation in a sequence of images tracking the growth of endogenously fluorescent kidneys

机译:在一系列图像中的分割成功跟踪内源性荧光肾的生长

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A previous paper by the authors presented an algorithm that successfully segmented organs grown in vitro from their surroundings. It was noticed that one difficulty in standard dyeing techniques for the analysis of contours in organs was due to the fact that the antigen necessary to bind with the fluorescent dye was not uniform throughout the cell borders. To address these concerns, a new fluorescent technique was utilized. A transgenic mouse line was genetically engineered utilizing the hoxb7/gfp (green fluorescent protein). Whereas the original technique (fixed and blocking) required a numerous number of noise removal filtering and sophisticated segmentation techniques, segmentation on the GFP kidney required only an adaptive binary threshold technique which yielded excellent results without the need for specific noise reduction. This is important for tracking the growth of kidney development through time.
机译:作者的先前文件提出了一种成功分段的算法,这些算法从周围环境中成功分段。注意到标准染色技术的一种难度用于分析器官的轮廓的分析是由于与荧光染料结合所需的抗原在整个细胞边界中不均匀。为了解决这些问题,利用了一种新的荧光技术。转基因小鼠系在遗传工程中利用HoxB7 / GFP(绿色荧光蛋白)。然而,原始技术(固定和阻塞)需要许多噪声去除滤波和复杂的分割技术,但GFP肾脏的分段只需要一种自适应二进制阈值技术,其出现出优异的结果而不需要特定的降噪。这对于通过时间跟踪肾发展的增长是重要的。

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