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Related Experiment Video

Updated: Jun 12, 2026

Micro-CT Imaging and Morphometric Analysis of Mouse Neonatal Brains
06:36

Micro-CT Imaging and Morphometric Analysis of Mouse Neonatal Brains

Published on: May 19, 2023

Computer-aided morphometric data collection, mapping, and analysis for neuropathologists.

D G Lloyd, H L Loats, D L Price

    Applied Optics
    |May 22, 2010
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a computer system to help neuropathologists analyze brain tissue changes. The automated microscope system aids in evaluating neuropathologic alterations for better diagnosis.

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    Published on: November 14, 2010

    Related Experiment Videos

    Last Updated: Jun 12, 2026

    Micro-CT Imaging and Morphometric Analysis of Mouse Neonatal Brains
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    Published on: May 19, 2023

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    Published on: February 15, 2017

    Automated Sholl Analysis of Digitized Neuronal Morphology at Multiple Scales
    11:41

    Automated Sholl Analysis of Digitized Neuronal Morphology at Multiple Scales

    Published on: November 14, 2010

    Area of Science:

    • Neuropathology
    • Digital Pathology
    • Neuroscience

    Background:

    • Neurologic diseases often cause visible changes in neuronal tissue.
    • Microscopic examination by neuropathologists is crucial for diagnosing these alterations.
    • Current methods can be time-consuming and require specialized expertise.

    Purpose of the Study:

    • To present a microcomputer-based system for image acquisition and analysis.
    • To assist neuropathologists in evaluating neuropathologic alterations.
    • To improve the efficiency and accuracy of tissue analysis.

    Main Methods:

    • Interfacing a microcomputer system with an automated microscope.
    • Developing image acquisition and analysis software.
    • Implementing measurement techniques for morphologic parameters.
    • Designing data display and analysis functionalities.

    Main Results:

    • The system provides a comprehensive overview of its architecture and function.
    • Detailed measurement techniques and morphologic parameter calculations are described.
    • The system facilitates data display and analysis for neuropathologic evaluation.

    Conclusions:

    • The developed system offers a valuable tool for neuropathologists.
    • Automated image analysis can enhance the evaluation of neuropathologic alterations.
    • This technology has the potential to improve diagnostic capabilities in neuropathology.