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Design Example: Traverse Angle Computations01:25

Design Example: Traverse Angle Computations

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Traverse angle computations are a critical component of surveying, used to compute the internal angles within a closed traverse. A traverse consists of a series of connected lines forming a closed loop, often used for land boundary delineation or mapping. Calculating the internal angles ensures accuracy in the traverse geometry and is essential for checking survey data integrity.The process begins with known azimuths and bearings of the traverse sides. Internal angles at each vertex are...
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Imaging Studies III: Computed Tomography01:27

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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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EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
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When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
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The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
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Related Experiment Video

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Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection
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Computational ghost imaging with designed low spatial frequency masks.

Yuya Yamazaki, Takanori Nomura

    Applied Optics
    |November 22, 2018
    PubMed
    Summary

    Computational ghost imaging (CGI) can image with weak light but needs many measurements. This study introduces a new CGI method using low spatial frequency masks to reduce measurements, enabling efficient imaging in biomedical applications.

    Area of Science:

    • Optics and Photonics
    • Biomedical Imaging
    • Computational Imaging

    Background:

    • Minimally invasive imaging with weak illumination is crucial in biomedical fields.
    • Computational ghost imaging (CGI) enables imaging under limited illumination conditions.
    • Conventional CGI necessitates a high number of measurements, especially with reduced illumination intensity.

    Purpose of the Study:

    • To propose a novel method for reducing the number of measurements in CGI.
    • To enhance the efficiency of imaging under weak illumination conditions.
    • To demonstrate the feasibility of the proposed technique for biomedical imaging applications.

    Main Methods:

    • Design of low spatial frequency masks for CGI.
    • Implementation of a modified CGI algorithm utilizing these masks.

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  • Validation through numerical simulations and experimental setups.
  • Main Results:

    • The proposed method significantly reduces the required number of measurements compared to conventional CGI.
    • Successful imaging of objects was achieved with fewer measurements under weak illumination.
    • Feasibility confirmed by both numerical simulations and experimental data.

    Conclusions:

    • The developed low spatial frequency mask approach offers a more efficient alternative for CGI.
    • This method addresses the limitation of high measurement requirements in weak illumination imaging.
    • The technique holds promise for advancing minimally invasive biomedical imaging.