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Related Concept Videos

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...
Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been developed.

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Related Experiment Video

Updated: Jun 16, 2026

Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera
06:28

Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera

Published on: January 30, 2020

Gamma-ray imaging with stochastic apertures.

R S May, Z Akcasu, G F Knoll

    Applied Optics
    |February 6, 2010
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel gamma-ray imaging technique using stochastic time modulation and cross-correlation. This method offers a theoretical advantage for smooth 3D point response in radioactive fluid distribution mapping.

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    Last Updated: Jun 16, 2026

    Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera
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    Evaluation of the Spatial Distribution of γH2AX following Ionizing Radiation
    09:28

    Evaluation of the Spatial Distribution of γH2AX following Ionizing Radiation

    Published on: August 7, 2010

    Area of Science:

    • Nuclear physics
    • Medical imaging
    • Radiation detection

    Background:

    • Accurate spatial distribution mapping of radioactive fluids is crucial for various applications.
    • Traditional gamma-ray imaging methods like collimation and coded apertures have limitations.
    • Indirect measurement via gamma rays is a key challenge in radioactive fluid monitoring.

    Purpose of the Study:

    • To propose and analyze a new gamma-ray imaging technique based on stochastic time modulation and cross-correlation.
    • To theoretically compare this novel method with existing techniques such as collimation and coded apertures.
    • To evaluate the performance characteristics, including mean response and statistical error, of the proposed technique.

    Main Methods:

    • Development of a gamma-ray imaging method utilizing stochastic time modulation and cross-correlation.
    • Theoretical analysis and comparison with collimation and coded aperture imaging.
    • Computation of mean response and statistical error characteristics.
    • Verification through Monte Carlo simulations.

    Main Results:

    • The proposed stochastic time modulation and cross-correlation technique demonstrates a theoretical basis for smooth 3D point response.
    • Computed results illustrate the mean response and statistical error characteristics of the technique.
    • Monte Carlo simulations validate the findings and performance of the method.

    Conclusions:

    • The stochastic time modulation and cross-correlation method provides a promising alternative for gamma-ray imaging.
    • This technique offers advantages over traditional methods due to its point-by-point reconstruction approach.
    • The method has potential applications in accurately mapping radioactive fluid distributions.