Development of a multistage classifier for a monitoring system of cell activity based on imaging of chromosomal dynamics
Development of a multistage classifier for a monitoring system of cell activity based on imaging of chromosomal dynamics
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DOI：
10.1002/cyto.a.20378
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发表时间：
2007-05-01
期刊：
影响因子：
3.7
通讯作者：
Fukui, Kiichi
中科院分区：
文献类型：
--
作者：
Gambe, Arni E.;Ono, Rika Maniwa;Fukui, Kiichi
背景：利用数字图像细胞计数法进行基于细胞的测定，产生测量药物/化学品功效的多变量信息集。使用表达 GFP-组蛋白-H1 融合蛋白的 HeLa 细胞系进一步增强了这些系统的性能，避免使用可能对细胞产生有害影响的染料。除了有丝分裂指数之外，有丝分裂期间细胞周期阶段的分布也可以用作药物/治疗功效的测量。然而，这些参数的量化需要技巧并且耗时。因此，本研究的目的是创建一个分类器，将其合并到一个系统中，该系统可以自动识别给定图像中的细胞周期阶段。 方法：测量和分析基于活 Hela 细胞图像中染色体区域的形状和纹理的特征。计算了八个细胞周期阶段的线性判别函数：间期、前期、前期、中期、后期早期、后期、末期和胞质分裂。结果：开发的多级线性判别分类器的平均分类效率为 87-30%。结论：我们证明了创建分类器利用染色体区域的形状和纹理特征来区分细胞周期阶段的可能性。分类器可以与图像分割算法融合，形成自动快速测量上述参数的系统。然后可以将结果进行核对以构成评估药物或治疗对哺乳动物细胞的影响的测定。 (c) 2007 年国际分析细胞学学会。
Background: Cell-based assays utilizing digital image cytometry yield multivariate sets of information measuring the efficacy of medicines/chemicals. The use of a HeLa cell line that expresses a GFP-Histone-H1 fusion protein further enhances the performance of these systems, avoiding the use of dyes that may have detrimental influence on cells. Aside from the mitotic index, the distribution of the cell-cycle phases during mitosis can be used as measures of drug/treatment efficacy. Quantification of these parameters, however, requires skill and is time consuming. The purpose of this research was therefore to create a classifier to be incorporated into a system that can automaiically identify the cell-cycle phases in a given image.Methods: Features based on the shape and texture of the chromosomal regions in images of live Hela cells were measured and analyzed. linear discriminant functions were calculated for the eight cell-cycle phases: interphase, prophase, prometaphase, metaphase, early anaphase, anaphase, telophase and cytokinesis.Results: The multistage linear discriminant classifier developed had an average classification efficiency of 87-30%.Conclusion: We demonstrated the possibility of creating a classifier to discriminate between cell-cycle phases using shape and texture features of chromosomal regions. The classifier can be fused to an algorithm for image segmentation, forming a system to automatically and rapidly measure the aforementioned parameters. The results can then be collated to constitute an assay assessing the effects of a drug or treatment on mammalian cells. (c) 2007 International Society for Analytical Cytology.