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

机译:在跟踪内源性荧光肾脏生长的图像序列中成功进行分割

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Abstract: 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. !10
机译:摘要:作者在之前的论文中提出了一种算法,该算法可以成功地从周围环境中分割出体外生长的器官。注意到在标准的染色技术中用于分析器官轮廓的一个困难是由于这样的事实,即与荧光染料结合所必需的抗原在整个细胞边界是不均匀的。为了解决这些问题,采用了新的荧光技术。利用hoxb7 / gfp(绿色荧光蛋白)对转基因小鼠品系进行了基因工程改造。原始技术(固定和阻止)需要大量的噪声去除过滤和复杂的分割技术,而在GFP肾脏上进行分割仅需要自适应二进制阈值技术即可产生出色的结果,而无需降低特定的噪声。这对于跟踪随时间推移肾脏发育的增长非常重要。 !10

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