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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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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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Electron Microscope Tomography and Single-particle Reconstruction01:07

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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.
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X-ray Crystallography02:18

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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...
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Dimensional analysis, also known as the factor label method, is a versatile approach for mathematical operations. The main principle behind this approach is: the units of quantities must be subjected to the same mathematical operations as their associated numbers. This method can be applied to computations ranging from simple unit conversions to more complex and multi-step calculations involving several different quantities and their units.
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Three-dimensional iterative multislice reconstruction for ptychographic X-ray computed tomography.

Kei Shimomura, Makoto Hirose, Takaya Higashino

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    This study introduces an advanced 3D reconstruction algorithm for ptychographic X-ray computed tomography (PXCT). The new method reduces view requirements for high-resolution 3D imaging of large samples, expanding PXCT applications.

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    Area of Science:

    • Materials Science
    • Imaging Technology
    • Physics

    Background:

    • Ptychographic X-ray computed tomography (PXCT) enables high-resolution 3D imaging of large samples.
    • Current PXCT limitations include a high number of required views and a narrow depth of field.
    • These limitations restrict the application scope of PXCT.

    Purpose of the Study:

    • To develop an improved 3D reconstruction algorithm for PXCT.
    • To overcome the limitations of view number and depth of field in PXCT.
    • To enhance the applicability of PXCT for large-volume 3D nanoimaging.

    Main Methods:

    • The proposed algorithm integrates 3D iterative reconstruction with multislice phase retrieval.
    • Computer simulations were performed to evaluate the algorithm's performance.
    • Synchrotron experiments were conducted using a processor specimen under limited-angle conditions.

    Main Results:

    • Simulations demonstrated that the algorithm reduces the number of required views without compromising spatial resolution.
    • High-resolution multislice images of Cu multilevel interconnects were successfully reconstructed from experimental data.
    • The algorithm proved effective even under limited-angle data acquisition.

    Conclusions:

    • The developed algorithm significantly improves PXCT capabilities for 3D reconstruction.
    • This advancement is expected to broaden the use of PXCT in various scientific and industrial fields.
    • The method facilitates high-resolution 3D nanoimaging of large-volume samples.