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

Quantitative characterization of electron micrograph image using fractal feature

K L Chan1

  • 1Department of Electronic Engineering, City University of Hong Kong, Kowloon.

IEEE Transactions on Bio-Medical Engineering
|October 1, 1995
PubMed
Summary

This study introduces fractal analysis for segmenting electron micrograph images. Fractal dimensions and texture statistics effectively characterize and differentiate cellular structures like heterochromatin and euchromatin.

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

Chronic rhinosinusitis and cognition: a systematic review and meta-analysis.

Rhinology·2025
Same author

Survival of out-of-hospital cardiac arrest following a return of spontaneous circulation beyond 30 minutes.

Hong Kong medical journal = Xianggang yi xue za zhi·2023
Same author

Sevelamer crystal-associated peritonitis in a patient on continuous ambulatory peritoneal dialysis: a case report.

Hong Kong medical journal = Xianggang yi xue za zhi·2023
Same author

Oceanic and atmospheric anomalies associated with extreme precipitation events in China 1983-2020.

Air quality, atmosphere, & health·2023
Same author

Immediate effects of transcutaneous electrical nerve stimulation on gait patterns in chronic stroke survivors: A single group, pretest-posttest clinical trial.

Human movement science·2022
Same author

Effectiveness of the iParent app for postnatal depression: a randomised controlled trial (abridged secondary publication).

Hong Kong medical journal = Xianggang yi xue za zhi·2022

Area of Science:

  • Microscopy and Image Analysis
  • Computational Biology
  • Materials Science

Background:

  • Electron microscopy generates complex images requiring advanced analysis.
  • Texture analysis offers quantitative methods for image characterization.
  • Fractal geometry provides a framework for describing irregular shapes and surfaces.

Purpose of the Study:

  • To apply fractal dimensions and texture analysis for segmenting electron micrograph images.
  • To evaluate the effectiveness of these methods in distinguishing cellular substructures.
  • To develop an automated approach for image segmentation based on morphological features.

Main Methods:

  • Texture analysis using fractal dimensions and spatial grey level co-occurrence matrices (GLCM).
  • Calculation of fractal dimension via three methods: pixel intensity difference, Fourier domain, and reticular cell counting.

Related Experiment Videos

  • Image segmentation using fractal dimensions, GLCM statistics, and grey level thresholding.

    • Main Results:

    • Fractal dimension correlates with surface roughness and is scale-invariant.
    • Segmentation successfully differentiated regions of heterochromatin, euchromatin, and background.
    • Fractal dimensions and GLCM statistics proved capable of characterizing and segmenting electron micrographs.

    Conclusions:

    • Fractal analysis is a robust tool for electron micrograph texture analysis and segmentation.
    • The developed methods enable automated differentiation of distinct cellular morphologies.
    • This approach enhances quantitative analysis of ultrastructural images.