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Computed Tomography01:10

Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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Non-invasive 3D-Visualization with Sub-micron Resolution Using Synchrotron-X-ray-tomography
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    Background-oriented schlieren tomography (BOST) now enables 3D refractive index field reconstruction in flows. This new evolutionary BOST (EBOST) method accurately visualizes complex flame structures for advanced flow diagnostics.

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    Area of Science:

    • Fluid dynamics
    • Optical diagnostics
    • Computational imaging

    Background:

    • Background-oriented schlieren (BOS) measures light ray deflection for refractive index variations.
    • Volumetric reconstruction of refractive index fields in flows is crucial for diagnostics.
    • Existing methods may have limitations in complex flow scenarios.

    Purpose of the Study:

    • To introduce evolutionary BOS tomography (EBOST) for 3D refractive index field reconstruction.
    • To apply and validate EBOST for reactive flows, specifically flames.
    • To demonstrate the capability of EBOST for instantaneous and time-averaged flame structure visualization.

    Main Methods:

    • Combined BOS imaging with a novel evolutionary tomographic algorithm (EBOST).
    • Employed direct non-linear ray-tracing for fitness evaluation within a multi-GPU evolutionary strategy.
    • Utilized a self-adaptive strategy to manage algorithm control parameters.

    Main Results:

    • EBOST demonstrated quantitative accuracy in numerical phantom studies using flame simulations.
    • Performance was comparable to state-of-the-art BOST for turbulent swirl flame reconstruction.
    • Experimental applications successfully revealed instantaneous and time-averaged structures of unsteady and turbulent flames.

    Conclusions:

    • EBOST is a powerful new tool for volumetric flow diagnostics.
    • The method provides detailed insights into complex reactive flow structures.
    • EBOST offers significant benefits for understanding flame dynamics.