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

doi:10.1093/bioinformatics/btq434

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 journal › Article › Academic › peer-review

33 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 language	Undefined/Unknown
Pages (from-to)	2424-2430
Number of pages	7
Journal	Bioinformatics
Volume	26
Issue number	19
DOIs	https://doi.org/10.1093/bioinformatics/btq434
Publication status	Published - 2010

Research programs

EMC MGC-01-12-03
EMC MGC-02-82-01
EMC MM-03-32-04
EMC NIHES-03-30-03

Access to Document

10.1093/bioinformatics/btq434

http://hdl.handle.net/1765/28411

Cite this

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

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.",

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AU - Essers, J.

AU - van Cappellen, Gert

AU - Baldeyron, CJA (Celine)

AU - Inagaki, Akiko

AU - Niessen, Wiro

AU - Meijering, Erik

PY - 2010

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AB - 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.

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