Quantitative analysis of digital microscope images

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

    Research output: Chapter in Book/Report/Conference proceedingChapter

    44 Citations (Scopus)


    The chapter discusses quantitative analysis of digital microscope images and presents several exercises to provide examples to explain the concept. The 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. The chapter presents several examples for understanding the imaging process as a transformation from sample to image and the limits and considerations of quantitative analysis. The 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 publicationDigital Microscopy
    EditorsGreenfield Sluder, David E. Wolf
    Number of pages32
    Publication statusPublished - 2007

    Publication series

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

    ASJC Scopus subject areas

    • Cell Biology


    Dive into the research topics of 'Quantitative analysis of digital microscope images'. Together they form a unique fingerprint.

    Cite this