Software for quantification of labeled bacteria from digital microscope images by automated image analysis
Software for quantification of labeled bacteria from digital microscope images by automated image analysis
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DOI：
10.2144/000112018
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发表时间：
2005-12-01
期刊：
影响因子：
2.7
通讯作者：
Puhakka, JA
中科院分区：
文献类型：
--
作者：
Selinummi, J;Seppälä, J;Puhakka, JA
自动图像分析软件CellC被开发和验证，用于从数字显微镜图像中定量细菌细胞。CellC能够自动枚举细菌细胞，比较总计数和特定计数图像[例如，4'，6-二氨基-2-苯基吲哚（DAPI）和荧光原位杂交（FISH）图像]，并提供细胞形态的定量估计。该软件包括一个直观的图形用户界面，使易于使用以及。在没有用户干预的情况下对多幅图像进行顺序分析。在所有经过验证的图像类型中，将细胞计数法的细菌总数与人工计数法的细菌总数进行比较，其相关性均优于0.98。该软件是免费提供和可修改的：可执行文件和MATLAB(R)源代码可以在www.cs.tut.fi/sgn/csb/cellc上获得。
Automated image analysis software, CellC, was developed and validated for quantification of bacterial cells from digital microscope images. CellC enables automated enumeration of bacterial cells, comparison of total count and specific count images [e.g., 4',6-diamino-2-phenylindole (DAPI) and fluorescence in situ hybridization (FISH) images], and provides quantitative estimates of cell morphology. The software includes an intuitive graphical user interface that enables easy usage as well. as sequential analysis of multiple images without user intervention. Validation of enumeration reveals correlation to be better than 0.98 when total bacterial counts by CellC are compared with manual enumeration, with all validated image types. The software is freely available and modifiable: the executable files and MATLAB(R) source codes can be obtained at www.cs.tut.fi/sgn/csb/cellc.