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

A new approach to detect structural differences in lung parenchyma using digital image analysis.

Stefan A Tschanz1, Peter H Burri

  • 1Institute of Anatomy, University of Berne, Switzerland. tschanz@ana.unibe.ch

Experimental Lung Research
|September 10, 2002
PubMed
Summary

This study introduces a novel digital image analysis method for quantifying lung structure changes. The technique accurately detects subtle parenchymal alterations, outperforming traditional morphometry in specific cases.

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

Quantitative analysis of mucociliary activity by computational high-speed video reflection microscopy.

European biophysics journal : EBJ·2026
Same author

Proteomic and structural comparison between cilia from primary ciliary dyskinesia patients with a DNAH5 defect.

Frontiers in molecular biosciences·2025
Same author

Similar effect of lidocaine and saline on ciliary beating of nasal epithelial cells in vitro.

Klinische Padiatrie·2025
Same author

Distribution and volume of mitochondria in alveolar epithelial type 1 cells in infant and adult human lungs.

Histochemistry and cell biology·2024
Same author

Three-dimensional characteristics of the alveolar capillary network in infant and adult human lungs.

Pediatric research·2024
Same author

The Cilialyzer - A freely available open-source software for the analysis of mucociliary activity in respiratory cells.

Computer methods and programs in biomedicine·2023

Area of Science:

  • Pulmonary Medicine
  • Medical Imaging
  • Quantitative Morphology

Background:

  • Classical morphometry struggles to detect subtle lung structural changes, especially when modifications don't alter volume density or when surface density changes cancel out.
  • Limitations in traditional methods necessitate advanced techniques for comprehensive lung parenchyma analysis.

Purpose of the Study:

  • To develop and validate a digital image processing method for precise quantification of geometrical properties in lung parenchyma.
  • To provide a sensitive tool for detecting subtle morphological alterations in lung architecture.

Main Methods:

  • Utilized digital image processing, including filtering, binarization, and skeletonization, on light microscopic lung parenchyma images.
  • Represented lung septa as a network of single-pixel wide lines with nodal and end points.

Related Experiment Videos

  • Quantified lung architecture by automatically counting points and measuring skeletal segment lengths.

    • Main Results:

    • The developed method effectively quantifies geometrical changes in lung structure, aligning closely with visual assessments.
    • Demonstrated high sensitivity in detecting subtle structural modifications.
    • Successfully identified significant quantitative alterations in rat lungs treated with glucocorticoid hormones, where classical morphometry was less effective.

    Conclusions:

    • The new digital image analysis approach offers a sensitive and efficient method for characterizing lung architecture.
    • This technique enhances the ability to detect subtle morphological changes in lung parenchyma, surpassing limitations of classical morphometry.