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Ensuring Accurate Quantitative Image Analysis

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Many light microscopy applications demand clear and accurate quantification of images. But for successful analysis to take place it is essential that image acquisition and processing yield the best possible image data for the task. In order to achieve this, optimum contrast and digital filter methods must be selected.

MARKUS FABICH, OLYMPUS EUROPA SE & CO. KG

Quality control in materials inspection requires the ability to detect and quantify both minute surface imperfections, and those beneath the surface. Inspection is often conducted with digital imaging microscopy setups; however, such images are sometimes captured so that they appear true-to-life rather than optimized for quantitative information. For workflows that require clear and accurate quantification, the selection of both optimal contrast and digital filter methods is essential. To reveal hidden details and generate images suitable for quantitative analysis, the illumination and...Read full article

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    Published: July 2016
    Glossary
    posterization
    In image processing, the effect caused by large jumps between gray levels, rather than a gradual change.
    camerasEuropeImagingprocessingMicroscopydifferential interference contrastOlympus-EuropaMarkus FabichJM 7-13 noise reductionGaussianSobel filterLaplace filterposterizationconvolution kernelsFeatures

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