Automated analysis of time-lapse fluorescence microscopy images: from live cell images to intracellular foci
Automated analysis of time-lapse fluorescence microscopy images: from live cell images to intracellular foci
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DOI：
10.1093/bioinformatics/btq434
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发表时间：
2010-10-01
期刊：
影响因子：
5.8
通讯作者：
Meijering, Erik
中科院分区：
文献类型：
--
作者：
Dzyubachyk, Oleh;Essers, Jeroen;Meijering, Erik
动机：从活细胞的荧光显微镜图像序列中对细胞内病灶进行完整、准确和可重复的分析，需要所有处理步骤的完全自动化：细胞分割和跟踪，然后是病灶分割和模式分析。目前缺乏用于这一目的的综合系统。结果：我们扩展了之前在细胞分割和跟踪方面的工作，开发了一种新的系统，用于对单个细胞的荧光灶进行全自动分析。通过将该系统应用于两个常见任务：细胞内病灶计数（在DNA损伤修复实验中）和基于病灶模式分析的细胞期鉴定（在DNA复制实验中），对该系统进行了验证。实验结果表明，该系统的性能与专家观察者相当。因此，它可以取代对所考虑的任务的繁琐的手工分析，并支持高内容筛选。
Motivation: Complete, accurate and reproducible analysis of intracellular foci from fluorescence microscopy image sequences of live cells requires full automation of all processing steps involved: cell segmentation and tracking followed by foci segmentation and pattern analysis. Integrated systems for this purpose are lacking.Results: Extending our previous work in cell segmentation and tracking, we developed a new system for performing fully automated analysis of fluorescent foci in single cells. The system was validated by applying it to two common tasks: intracellular foci counting (in DNA damage repair experiments) and cell-phase identification based on foci pattern analysis (in DNA replication experiments). Experimental results show that the system performs comparably to expert human observers. Thus, it may replace tedious manual analyses for the considered tasks, and enables high-content screening.