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    Biostatistical analysis of quantitative immunofluorescence microscopy images

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    Authors
    Giles, C.
    Albrecht, M.
    Lam, V.
    Takechi, Ryu
    Mamo, J.
    Date
    2016
    Type
    Journal Article
    
    Metadata
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    Citation
    Giles, C. and Albrecht, M. and Lam, V. and Takechi, R. and Mamo, J. 2016. Biostatistical analysis of quantitative immunofluorescence microscopy images. Journal of Microscopy. 264 (3): pp. 321-333.
    Source Title
    Journal of Microscopy
    DOI
    10.1111/jmi.12446
    School
    School of Public Health
    URI
    http://hdl.handle.net/20.500.11937/21941
    Collection
    • Curtin Research Publications
    Abstract

    Semiquantitative immunofluorescence microscopy has become a key methodology in biomedical research. Typical statistical workflows are considered in the context of avoiding pseudo-replication and marginalising experimental error. However, immunofluorescence microscopy naturally generates hierarchically structured data that can be leveraged to improve statistical power and enrich biological interpretation. Herein, we describe a robust distribution fitting procedure and compare several statistical tests, outlining their potential advantages/disadvantages in the context of biological interpretation. Further, we describe tractable procedures for power analysis that incorporates the underlying distribution, sample size and number of images captured per sample. The procedures outlined have significant potential for increasing understanding of biological processes and decreasing both ethical and financial burden through experimental optimization.

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