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

Automatic segmentation and quantification of electron micrographs: extracellular components.

J W Lee, E J Delp, L L Brinkley

    Computers and Biomedical Research, an International Journal
    |December 1, 1985
    PubMed
    Summary

    This study presents an automated algorithm for analyzing electron microscopy images. The method accurately quantifies extracellular glycosaminoglycans and collagen, aiding in biological material analysis.

    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

    Specular Highlight Removal For Image-Based Dietary Assessment.

    ... IEEE International Conference on Multimedia and Expo workshops. IEEE International Conference on Multimedia and Expo·2017
    Same author

    Image Segmentation for Image-Based Dietary Assessment: A Comparative Study.

    ISSCS 2013 : International Symposium on Signals, Circuits and Systems : 11-12 July, 2013, Iasi, Romania : program. International Symposium on Signals, Circuits, and Systems (12th : 2013 : Iasi, Romania)·2017
    Same author

    New mobile methods for dietary assessment: review of image-assisted and image-based dietary assessment methods.

    The Proceedings of the Nutrition Society·2016
    Same author

    Merging dietary assessment with the adolescent lifestyle.

    Journal of human nutrition and dietetics : the official journal of the British Dietetic Association·2013
    Same author

    Digital correction of motion artefacts in microscopy image sequences collected from living animals using rigid and nonrigid registration.

    Journal of microscopy·2011
    Same author

    Digital and optical moiré detection of flaws applied to holographic nondestructive testing.

    Optics letters·2009

    Area of Science:

    • Biomedical Imaging
    • Materials Science
    • Biochemistry

    Background:

    • Extracellular glycosaminoglycans (GAGs) are crucial components of the extracellular matrix.
    • These GAGs, when precipitated by tannic acid, form amorphous reticulate masses visible in electron micrographs.
    • Quantifying these structures and associated collagen fibrils is essential for understanding tissue composition.

    Purpose of the Study:

    • To develop an automated algorithm for classifying, segmenting, and quantifying tannic acid-precipitable material (TAPM) and collagen in electron microscopic images.
    • To enable accurate measurement of TAPM distribution and amount.
    • To provide a tool adaptable for analyzing other complex or amorphous structures in microscopy.

    Main Methods:

    • An algorithm was developed for automatic classification and segmentation of electron microscopic images.

    Related Experiment Videos

  • It involves locating small image patches, tracing boundaries, and merging regions.
  • A two-dimensional feature vector is used for classification into TAPM/collagen or cell-related regions.

    • Main Results:

    • The algorithm successfully classified and segmented regions containing TAPM and collagen.
    • Quantification of TAPM distribution was achieved with good results across various image configurations.
    • The method demonstrated effectiveness in analyzing images with varying amounts and arrangements of TAPM.

    Conclusions:

    • The developed algorithm provides an effective method for automatic quantification of tannic acid-precipitable material and collagen in electron micrographs.
    • This automated approach enhances the analysis of complex extracellular matrix components.
    • The algorithm's adaptability suggests potential applications in analyzing diverse amorphous structures in electron microscopy.