Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

AM-FM texture segmentation in electron microscopic muscle imaging.

M S Pattichis, C S Pattichis, M Avraam

    IEEE Transactions on Medical Imaging
    |February 24, 2001
    PubMed
    Summary

    This study introduces an amplitude modulation-frequency modulation (AM-FM) image analysis technique to identify normal and abnormal sarcomere structures in skeletal muscle electron micrographs. The method accurately detects muscle disease patterns, aiding in myopathy diagnosis.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    Position Paper: Artificial Intelligence in Medical Image Analysis: Advances, Clinical Translation, and Emerging Frontiers.

    IEEE journal of biomedical and health informatics·2025
    Same author

    Image Processing Methods for Coronal Hole Segmentation, Matching, and Map Classification.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2019
    Same author

    Assessment of melanoma candidate genes in a meta-analysis of 16 534 melanoma cases.

    Journal of the European Academy of Dermatology and Venereology : JEADV·2019
    Same author

    Distal Hereditary Motor Neuronopathy of the Jerash Type.

    Annals of the New York Academy of Sciences·2017
    Same author

    Distal Hereditary Motor Neuronopathy of the Jerash Type.

    Annals of the New York Academy of Sciences·2017
    Same author

    Editorial.

    Ultrastructural pathology·2017

    Area of Science:

    • Biomedical Imaging
    • Computational Pathology
    • Muscle Ultrastructure Analysis

    Background:

    • Electron microscopy is crucial for diagnosing myopathies by revealing sarcomere abnormalities.
    • Automated analysis of muscle ultrastructure can improve diagnostic efficiency and accuracy.
    • Existing image analysis methods may struggle with the complex patterns in muscle electron micrographs.

    Discussion:

    • The amplitude modulation-frequency modulation (AM-FM) image representation offers a novel approach for segmenting and analyzing skeletal muscle electron micrographs.
    • This technique effectively distinguishes normal sarcomere patterns from abnormal regions characteristic of myopathies.
    • The AM-FM method demonstrates potential for objective and quantitative assessment of muscle pathology.

    Key Insights:

    Related Experiment Videos

    • The AM-FM image representation accurately identifies normal, repetitive sarcomere structures.
    • The system achieves a 75%-84% recognition accuracy in detecting abnormal sarcomere regions in various myopathies, comparable to human experts.
    • This automated approach can aid in the early and accurate diagnosis of muscle diseases.

    Outlook:

    • Further validation of the AM-FM technique across a wider range of myopathies and larger datasets is warranted.
    • Integration of AM-FM analysis into clinical diagnostic workflows could enhance efficiency and consistency.
    • Future research may explore refining the AM-FM algorithm for even higher accuracy and identifying specific myopathy subtypes.