Automated analysis of time-lapse fluorescence microscopy images: from live cell images to intracellular foci

被引：29

作者：

Dzyubachyk, Oleh ^{[1
,2
]}

Essers, Jeroen ^{[3
,4
,5
]}

van Cappellen, Wiggert A. ^{[6
]}

Baldeyron, Celine ^{[3
]}

Inagaki, Akiko ^{[6
]}

Niessen, Wiro J. ^{[1
,2
,7
]}

Meijering, Erik ^{[1
,2
]}

机构：

[1] Erasmus MC, Dept Med Informat, Biomed Imaging Grp Rotterdam, Rotterdam, Netherlands

[2] Erasmus MC, Dept Radiol, Biomed Imaging Grp Rotterdam, Rotterdam, Netherlands

[3] Erasmus MC, Dept Cell Biol & Genet, Rotterdam, Netherlands

[4] Erasmus MC, Dept Radiat Oncol, Rotterdam, Netherlands

[5] Erasmus MC, Dept Vasc Surg, Rotterdam, Netherlands

[6] Erasmus MC, Dept Reprod & Dev, Opt Imaging Ctr, Rotterdam, Netherlands

[7] Delft Univ Technol, Fac Sci Appl, Delft, Netherlands

来源：

BIOINFORMATICS | 2010年 / 26卷 / 19期

关键词：

NONRIGID REGISTRATION; LINEAGE CONSTRUCTION; DNA-REPLICATION; DYNAMICS; TRACKING;

D O I：

10.1093/bioinformatics/btq434

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：2424 / 2430

页数：7

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