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X-ray Imaging01:24

X-ray Imaging

German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with X-rays, and by 1900, X-ray was widely...
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Updated: Jun 12, 2026

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

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Published on: February 12, 2014

Time-resolved and energy-resolved coded aperture images with URA tagging.

E E Fenimore

    Applied Optics
    |May 22, 2010
    PubMed
    Summary
    This summary is machine-generated.

    URA tagging is a new coded aperture analysis method for high-energy astrophysics. This technique significantly reduces computation time for time- and energy-resolved source histories, improving imaging analysis.

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    Published on: July 25, 2014

    Area of Science:

    • High-energy astrophysics
    • X-ray telescope imaging
    • Coded aperture imaging

    Background:

    • Uniformly redundant arrays (URAs) are standard for x-ray telescope imaging beyond grazing incidence limits.
    • Current methods require massive computations for time- or energy-resolved data, limiting analysis of variable sources.

    Purpose of the Study:

    • Introduce URA tagging, a novel method for time- and/or energy-resolved analysis of coded aperture data.
    • Reduce computational demands for analyzing time-variable or spectrally complex astrophysical sources.

    Main Methods:

    • URA tagging analyzes photon data without correlation operations.
    • The method accounts for finite resolution and quantized sampling in signal-to-noise ratio (SNR) calculations.
    • Compares URA tagging performance against correlation and delta decoding methods.

    Main Results:

    • URA tagging reduces computation time by orders of magnitude compared to the fast delta Hadamard transform.
    • The method corrects improperly encoded or motion-blurred images.
    • URA tagging provides an SNR equation incorporating finite resolution and sampling effects, explaining SNR differences between decoding methods.

    Conclusions:

    • URA tagging offers a computationally efficient and robust method for time- and energy-resolved analysis in coded aperture imaging.
    • Complementary URAs with an even number of transparent elements are preferred for optimal performance.