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Computer systems for laboratory networks and high-performance NMR.

G C Levy, J H Begemann

    Journal of Chemical Information and Computer Sciences
    |August 1, 1985
    PubMed
    Summary

    Computer technology and laboratory networking are revolutionizing spectroscopic data analysis. Advanced computing power and high-speed links optimize nuclear magnetic resonance spectroscopy (NMR) and magnetic resonance imaging (MRI) experiments for better results.

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    Area of Science:

    • Spectroscopy
    • Computer Science
    • Data Analysis

    Background:

    • Modern computer technology is transforming spectroscopic data acquisition, reduction, and analysis.
    • Distributed data processing, especially laboratory computer networking, enhances experimental result optimization.
    • Powerful computers with ample memory and high-speed links are crucial for complex experiments.

    Purpose of the Study:

    • To highlight the impact of computer technology on spectroscopic data analysis.
    • To discuss the role of laboratory networking in optimizing NMR and MRI experiments.
    • To explore future trends in laboratory data processing.

    Main Methods:

    • Utilizing powerful computers with virtual memory and high-speed links to magnetic resonance instrumentation.
    • Implementing laboratory architectures with larger computers for extended data reduction.
    • Networking NMR laboratories for enhanced data processing capabilities.

    Main Results:

    • Computer networking significantly improves the optimization of nuclear magnetic resonance spectroscopy (NMR) and magnetic resonance imaging (MRI) experiments.
    • Examples demonstrate successful applications in polymer microstructure analysis and in vivo 31P metabolic analysis.
    • Full networking of NMR laboratories is emerging as a new reality.

    Conclusions:

    • Advanced computing and networking are essential for optimizing complex spectroscopic experiments.
    • Laboratory computer networking represents a significant advancement in scientific data analysis.
    • Future trends indicate a continued integration of powerful computing and networking in scientific research.

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