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

Oleh Dzyubachyk, J. Essers, Gert van Cappellen, CJA (Celine) Baldeyron, Akiko Inagaki, Wiro Niessen, Erik Meijering

Research output: Contribution to journalArticleAcademicpeer-review

32 Citations (Scopus)

Abstract

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.
Original languageUndefined/Unknown
Pages (from-to)2424-2430
Number of pages7
JournalBioinformatics
Volume26
Issue number19
DOIs
Publication statusPublished - 2010

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