High-Throughput Method for Automated Colony and Cell Counting by Digital Image Analysis Based on Edge Detection.
High-Throughput Method for Automated Colony and Cell Counting by Digital Image Analysis Based on Edge Detection.
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DOI：
10.1371/journal.pone.0148469
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发表时间：
2016
期刊：
影响因子：
3.7
通讯作者：
Choudhry P
中科院分区：
文献类型：
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作者：
Choudhry P
细胞和菌落计数是高通量筛选和定量细胞分析的组成部分。由于其主观性和时间密集性，人工计数阻碍了细胞分析的采用，例如高通量筛查中的肿瘤球体形成。这项研究的目的是开发一种从数字图像中快速可靠地计数细胞和集落的自动化方法。为此，我开发了ImageJ宏细胞集落边缘和CellProfiler管道细胞集落计数，并将它们与其他开源的数字方法和手动计数进行了比较。ImageJ宏细胞集落边缘在计数细胞和集落以及测量它们的面积、体积、形态和强度方面很有价值。在这项研究中，我证明了Cell Colony Edge在速度、准确性和对不同细胞分析的适用性方面优于其他开源方法。它可以满足高通量筛选、集落形成分析和细胞分析中自动进行菌落/细胞计数的需求。
Counting cells and colonies is an integral part of high-throughput screens and quantitative cellular assays. Due to its subjective and time-intensive nature, manual counting has hindered the adoption of cellular assays such as tumor spheroid formation in high-throughput screens. The objective of this study was to develop an automated method for quick and reliable counting of cells and colonies from digital images. For this purpose, I developed an ImageJ macro Cell Colony Edge and a CellProfiler Pipeline Cell Colony Counting, and compared them to other open-source digital methods and manual counts. The ImageJ macro Cell Colony Edge is valuable in counting cells and colonies, and measuring their area, volume, morphology, and intensity. In this study, I demonstrate that Cell Colony Edge is superior to other open-source methods, in speed, accuracy and applicability to diverse cellular assays. It can fulfill the need to automate colony/cell counting in high-throughput screens, colony forming assays, and cellular assays.