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Interactive display of molecular models using a microcomputer system

J T Egan, R D Mac Elroy

    Computer Programs in Biomedicine
    |December 1, 1980
    PubMed
    Summary
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    This study introduces an interactive graphics display system (IGDS) for visualizing wire frame models, particularly molecular structures. The low-cost, microprocessor-driven system offers general applicability for creating perspective views.

    Area of Science:

    • Computer Graphics
    • Scientific Visualization
    • Molecular Modeling

    Background:

    • Interactive graphics display systems (IGDS) are crucial for visualizing complex data.
    • Existing systems may lack cost-effectiveness or specific applications like molecular modeling.
    • Microprocessor-driven displays offer potential for accessible scientific visualization.

    Purpose of the Study:

    • To describe a novel interactive graphics display system (IGDS) for generating perspective views of wire frame models.
    • To highlight the system's applicability for molecular models.
    • To detail the hardware and software components of the IGDS.

    Main Methods:

    • Utilized a microprocessor-driven TERAK 8510a system with a 320x240 grid resolution.
    • Developed graphics software in UCSD PASCAL, implementing traditional computer graphics algorithms.

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  • Designed a data structure for minimal disk storage, allowing local or remote data file construction.

    • Main Results:

    • The system can generate perspective views of any wire frame model, with an emphasis on molecular models.
    • The software is user-friendly, interactive, and capable of handling models up to 200 points.
    • Despite software-based matrix operations leading to slowness, the system's low cost is noted.

    Conclusions:

    • The developed IGDS presents a cost-effective solution for interactive visualization of wire frame and molecular models.
    • The system's ease of use and general applicability make it suitable for various scientific applications.
    • Further development could address performance limitations through hardware acceleration.