WatershedCounting3D: A new method for segmenting and counting punctate structures from confocal image data
WatershedCounting3D: A new method for segmenting and counting punctate structures from confocal image data
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DOI：
10.1111/j.1600-0854.2007.00538.x
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发表时间：
2007-04-01
期刊：
影响因子：
4.5
通讯作者：
Warren, Graham
中科院分区：
文献类型：
--
作者：
Gniadek, Thomas J.;Warren, Graham
目前细胞生物学的研究经常使用光学显微镜来研究细胞内的细胞器。为了分割和计数细胞器，大多数研究人员使用全局阈值方法，该方法依赖于细胞内均匀的背景强度值。由于情况并非总是如此，我们开发了WatershedCounting3D，这是一种使用修改后的分水岭算法的程序，即使在存在不均匀背景的情况下，也可以从共聚焦图像数据中更准确地识别细胞内结构。我们给出了分割和计数内质网出口网站和高尔基体的例子。
Current research in cell biology frequently uses light microscopy to study intracellular organelles. To segment and count organelles, most investigators have used a global thresholding method, which relies on homogeneous background intensity values within a cell. Because this is not always the case, we developed WatershedCounting3D, a program that uses a modified watershed algorithm to more accurately identify intracellular structures from confocal image data, even in the presence of an inhomogeneous background. We give examples of segmenting and counting endoplasmic reticulum exit sites and the Golgi apparatus.