CellProfilerTM:: free, versatile software for automated biological image analysis
CellProfilerTM:: free, versatile software for automated biological image analysis
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DOI：
10.2144/000112257
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发表时间：
2007-01-01
期刊：
影响因子：
2.7
通讯作者：
Carpenter, Anne E.
中科院分区：
文献类型：
--
作者：
Lamprecht, Michael R.;Sabatini, David M.;Carpenter, Anne E.
对生物样品进行仔细的目视检查是相当强大的，但是在实验室中进行的目视分析任务是重复的、乏味的和主观的。在这里，我们描述了使用开源软件，CellProfiler（TM），自动识别和测量图像中的各种生物对象。这里展示的应用包括酵母菌落计数和分类，细胞微阵列注释，酵母斑分析，小鼠肿瘤定量，伤口愈合分析和组织拓扑结构测量。该软件自动识别数字图像中的对象，对其进行计数，并记录每个对象的完整测量范围，包括图像中的位置，大小，形状，颜色强度，颜色之间的相关程度，纹理（平滑度）和邻居的数量。少量的图像可以在个人计算机上自动处理，数十万的图像可以使用计算集群进行分析。这个免费、易于使用的软件使生物学家能够全面、定量地解决许多以前需要自定义编程的问题，从而促进各种生物学研究领域的发现
Careful visual examination of biological samples is quite powerful, but man), visual analysis tasks done in the laboratory are repetitive, tedious, and subjective. Here we describe the use of the open-source software, CellProfiler (TM), to automatically identify and measure a variety of biological objects in images. The applications demonstrated here include yeast colony counting and classifying, cell microarray annotation, yeast patch assays, mouse tumor quantification, wound healing assays, and tissue topology measurement. The software automatically identifies objects in digital images, counts them, and records a full spectrum of measurements for each object, including location within the image, size, shape, color intensity, degree of correlation between colors, texture (smoothness), and number of neighbors. Small numbers of images can be processed automatically on a personal computer and hundreds of thousands can be analyzed using a computing cluster. This free, easy-to-use software enables biologists to comprehensively and quantitatively address many questions that previously would have required custom programming, thereby facilitating discovery in a variety of biological fields of study