Automatic segmentation of cell nuclei from confocal laser scanning microscopy images

A. Kelemen, G. Székely, H. W. Reist, G. Gerig

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In this paper we present a method for the fully automatic segmentation of cell nuclei from 3D confocal laser microscopy images. The method is based on the combination of previously proposed techniques which have been refined for the requirements of this task. A 3D extension of a wave propagation technique applied to gradient magnitude images allows us a precise initialization of elastically deformable Fourier models and therefore a fully automatic image analysis. The shape parameters are transformed into invariant descriptors and provide the basis of a statistical analysis of cell nucleus shapes. This analysis will be carried out in order to determine average intersection lengths between cell nuclei and single particle tracks of ionizing radiation. This allows a quantification of absorbed energy on living cells leading to a better understanding of the biological significance of exposure to radiation in low doses.

    Original languageEnglish (US)
    Title of host publicationVisualization in Biomedical Computing - 4th International Conference, VBC 1996, Proceedings
    PublisherSpringer Verlag
    Pages193-202
    Number of pages10
    Volume1131
    ISBN (Print)3540616497, 9783540616498
    StatePublished - 1996
    Event4th International Conference on Visualization in Biomedical Computing, VBC 1996 - Hamburg, Germany
    Duration: Sep 22 1996Sep 25 1996

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume1131
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other4th International Conference on Visualization in Biomedical Computing, VBC 1996
    CountryGermany
    CityHamburg
    Period9/22/969/25/96

    Fingerprint

    Laser Scanning
    Confocal
    Microscopy
    Nucleus
    Microscopic examination
    Segmentation
    Cells
    Scanning
    Lasers
    Cell
    Radiation
    Ionizing radiation
    Shape Parameter
    Initialization
    Image Analysis
    Quantification
    Wave propagation
    Image analysis
    Wave Propagation
    Descriptors

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    Cite this

    Kelemen, A., Székely, G., Reist, H. W., & Gerig, G. (1996). Automatic segmentation of cell nuclei from confocal laser scanning microscopy images. In Visualization in Biomedical Computing - 4th International Conference, VBC 1996, Proceedings (Vol. 1131, pp. 193-202). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1131). Springer Verlag.

    Automatic segmentation of cell nuclei from confocal laser scanning microscopy images. / Kelemen, A.; Székely, G.; Reist, H. W.; Gerig, G.

    Visualization in Biomedical Computing - 4th International Conference, VBC 1996, Proceedings. Vol. 1131 Springer Verlag, 1996. p. 193-202 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1131).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Kelemen, A, Székely, G, Reist, HW & Gerig, G 1996, Automatic segmentation of cell nuclei from confocal laser scanning microscopy images. in Visualization in Biomedical Computing - 4th International Conference, VBC 1996, Proceedings. vol. 1131, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1131, Springer Verlag, pp. 193-202, 4th International Conference on Visualization in Biomedical Computing, VBC 1996, Hamburg, Germany, 9/22/96.
    Kelemen A, Székely G, Reist HW, Gerig G. Automatic segmentation of cell nuclei from confocal laser scanning microscopy images. In Visualization in Biomedical Computing - 4th International Conference, VBC 1996, Proceedings. Vol. 1131. Springer Verlag. 1996. p. 193-202. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
    Kelemen, A. ; Székely, G. ; Reist, H. W. ; Gerig, G. / Automatic segmentation of cell nuclei from confocal laser scanning microscopy images. Visualization in Biomedical Computing - 4th International Conference, VBC 1996, Proceedings. Vol. 1131 Springer Verlag, 1996. pp. 193-202 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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