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    ALISSA: an automated live-cell imaging system for signal transduction analyses

    Wenus, Jakub and Düssmann, Heiko and Paul, Perrine and Kalamatianos, Dimitrios and Rehm, Markus and Wellstead, Peter E. and Prehn, Jochen H.M. and Huber, Heinrich J. (2009) ALISSA: an automated live-cell imaging system for signal transduction analyses. BioTechniques, 47 (6). pp. 1033-1040. ISSN 0736-6205

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    Probe photobleaching and a specimen’s sensitivity to phototoxicity severely limit the number of possible excitation cycles in time-lapse fluorescent microscopy experiments. Consequently, when a study of cellular processes requires measurements over hours or days, temporal resolution is limited, and spontaneous or rapid events may be missed, thus limiting conclusions about transduction events. We have developed ALISSA, a design framework and reference implementation for an automated live-cell imaging system for signal transduction analysis. It allows an adaptation of image modalities and laser resources tailored to the biological process, and thereby extends temporal resolution from minutes to seconds. The system employs online image analysis to detect cellular events that are then used to exercise microscope control. It consists of a reusable image analysis software for cell segmentation, tracking, and time series extraction, and a measurement-specific process control software that can be easily adapted to various biological settings. We have applied the ALISSA framework to the analysis of apoptosis as a demonstration case for slow onset and rapid execution signaling. The demonstration provides a clear proof-of-concept for ALISSA, and offers guidelines for its application in a broad spectrum of signal transduction studies.

    Item Type: Article
    Additional Information: The definitive version of this article is available at BioTechniques, Vol. 47, No. 6, December (2009) pp. 1033–1040. Supplementary material for this article is available at
    Keywords: ALISSA; signal transduction analyses; automated microscopy; live cell imaging; image analysis; online event detection; apoptosis; software engineering;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 3742
    Depositing User: Dimitris Kalamatianos
    Date Deposited: 06 Jun 2012 15:10
    Journal or Publication Title: BioTechniques
    Publisher: Eaton Publishing
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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