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Digital image processing: a path to better pictures.

Y Kokubo, W H Hardy

    Ultramicroscopy
    |January 1, 1982
    PubMed
    Summary
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    Digital image processing enhances scanning electron microscopy (SEM) instruments for better visualization and reduced specimen damage. This system offers hardware and software for advanced image acquisition and analysis.

    Area of Science:

    • Materials Science
    • Microscopy
    • Image Analysis

    Background:

    • Scanning electron microscopy (SEM) is crucial for material characterization.
    • Traditional SEM imaging faces limitations in visualization, specimen preservation, and data quantification.
    • Digital image processing offers potential solutions to these challenges.

    Purpose of the Study:

    • To present a digital image processing system for enhanced SEM performance.
    • To demonstrate improvements in visualization, specimen damage reduction, and data quantization.
    • To showcase the system's hardware and software capabilities for image acquisition and analysis.

    Main Methods:

    • Implementation of hardware for simultaneous multi-image digitization and storage.
    • Development of multimode scan generation capabilities.

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  • Utilizing system software for scan control, automatic prescale adjustment, histogram generation, grey scale manipulation, filtering, smoothing, and color assignment.

    • Main Results:

    • Demonstrated improved visualization of SEM images, including bright and dark field STEM images of biological specimens.
    • Achieved reduced specimen damage through optimized imaging parameters.
    • Successfully applied image processing techniques, such as 2D filtering, to reduce noise in X-ray images.

    Conclusions:

    • Digital image processing significantly enhances the capabilities of SEM instruments.
    • The developed system provides a comprehensive solution for advanced image acquisition and analysis in SEM.
    • The processed images show clearer details and reduced noise, facilitating more accurate scientific interpretation.