Quantitative Analysis of Digital Microscope Images

David E. Wolf, Champika Samarasekera, Jason R. Swedlow

    Research output: Chapter in Book/Report/Conference proceedingChapter

    6 Citations (Scopus)

    Abstract

    This chapter discusses quantitative analysis of digital microscope images and presents several exercises to provide examples to explain the concept. This chapter also presents the basic concepts in quantitative analysis for imaging, but these concepts rest on a well-established foundation of signal theory and quantitative data analysis. This chapter presents several examples for understanding the imaging process as a transformation from sample to image and the limits and considerations of quantitative analysis. This chapter introduces to the concept of digitally correcting the images and also focuses on some of the more critical types of data transformation and some of the frequently encountered issues in quantization. Image processing represents a form of data processing. There are many examples of data processing such as fitting the data to a theoretical curve. In all these cases, it is critical that care is taken during all steps of transformation, processing, and quantization.

    Original languageEnglish
    Title of host publicationMethods in Cell Biology
    EditorsLeslie Wilson, Paul Matsudaira, Phong Tran
    PublisherAcademic Press Inc.
    Chapter14
    Pages337-367
    Number of pages31
    ISBN (Print)978-0-12-407761-4
    DOIs
    Publication statusPublished - 2013

    Publication series

    NameMethods in Cell Biology
    Volume114
    ISSN (Print)0091-679X

    Keywords

    • Calibration curve
    • Flatfield correction
    • Fluorescent beads
    • Microscope field
    • Quantitative analysis

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