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Related Concept Videos

Carbon Skeletons01:12

Carbon Skeletons

Life on Earth is carbon-based, as all macromolecules that make up living organisms contain carbon atoms. All organic compounds have a carbon backbone. Each carbon atom is tetravalent and can bond with four other atoms, making it an extraordinarily flexible component of biological molecules. Because carbon’s valence electrons are stable, it rarely becomes an ion. As the carbon chain increases in length, structural modifications such as ring structures, double bonds, and branching side chains...
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Calculation of Volume of Solids by Integration

Volume calculation often begins with simple geometric solids. For example, the volume of a rectangular box is obtained by multiplying the area of its base by its height. This straightforward approach relies on the fact that the cross-sectional area of the box remains constant throughout its length. Many real-world objects, however, do not have uniform cross-sections, and their volumes cannot be determined using elementary geometric formulas.To address this limitation, the Slicing Method...

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Related Experiment Video

Updated: Jun 7, 2026

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin
09:36

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Published on: March 14, 2018

Skeleton Cuts--An Efficient Segmentation Method for Volume Rendering.

Dehui Xiang, Jie Tian, Fei Yang

    IEEE Transactions on Visualization and Computer Graphics
    |November 3, 2010
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces localized volume data visualization by segmenting structures and applying local transfer functions. This approach improves visualization of complex medical datasets by overcoming limitations of global transfer functions.

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    Last Updated: Jun 7, 2026

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    From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
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    Published on: August 13, 2014

    Area of Science:

    • Medical Imaging
    • Computer Graphics
    • Data Visualization

    Background:

    • Volume rendering is crucial for visualizing 3D data using transfer functions.
    • Existing methods often use a single global transfer function, limiting visualization of specific structures.

    Purpose of the Study:

    • To propose a localized volume data visualization approach.
    • To improve the visualization of interested structures in complex medical datasets.

    Main Methods:

    • Developed an interactive segmentation algorithm using skeletons for structure categorization.
    • Introduced a localized transfer function assigning optical parameters based on intensity, thickness, and distance.

    Main Results:

    • The proposed techniques effectively segment and categorize structures.
    • Localized transfer functions accurately visualize specific structures within complex datasets.

    Conclusions:

    • The localized approach overcomes limitations of global transfer functions in volume rendering.
    • This method enhances the visualization of interested structures in complex medical volume data.