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 Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Gold nanoparticles in skin drug delivery: a bibliometric analysis of research trends from 2015 to 2025.

Frontiers in medical technology·2026
Same author

Sustainable microalgae-based Docosahexaenoic Acid-Silver nanoparticles for biomedical applications.

Frontiers in bioengineering and biotechnology·2026
Same author

Ibuprofen vs. Acetaminophen After Delivery in Women with Hypertensive Disorders of Pregnancy: An Updated Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Journal of clinical medicine·2026
Same author

Hydration as a governing state variable in the mechanical and electrical response of decellularized extracellular matrix materials.

Journal of materials science. Materials in medicine·2026
Same author

Unidirectional Evaporation-Induced Tunable and Continuous Gradient Composite Structure for Absorption-Dominant Electromagnetic Interference Shielding.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Investigation of the incidence of early and delayed postoperative nausea and vomiting (PONV) in different surgical specialties.

Scientific reports·2026

Related Experiment Video

Updated: Jul 27, 2025

Full-Field Optical Coherence Microscopy for Histology-Like Analysis of Stromal Features in Corneal Grafts
07:51

Full-Field Optical Coherence Microscopy for Histology-Like Analysis of Stromal Features in Corneal Grafts

Published on: October 21, 2022

1.7K

Computational approaches for evaluating morphological changes in the corneal stroma associated with

Igor V Pantic1,2,3,4, Jelena Cumic5, Svetlana Valjarevic6

  • 1Department of Medical Physiology, Faculty of Medicine, Visegradska 26/II, University of Belgrade, Belgrade, Serbia.

Frontiers in Bioengineering and Biotechnology
|June 12, 2023
PubMed
Summary

This study developed a computational method using machine learning (ML) to assess corneal decellularization effectiveness. ML models accurately identify tissue regions, improving scaffold quality evaluation for transplantation.

Keywords:
GLCM (gray level co-event matrix)corneacorneal stromadecellualrizationkeratocytes

More Related Videos

A Human Corneal Organ Culture Model of Descemet's Stripping Only with Accelerated Healing Stimulated by Engineered Fibroblast Growth Factor 1
12:36

A Human Corneal Organ Culture Model of Descemet's Stripping Only with Accelerated Healing Stimulated by Engineered Fibroblast Growth Factor 1

Published on: July 22, 2022

4.6K
Development of a Noninvasive, Laser-Assisted Experimental Model of Corneal Endothelial Cell Loss
06:23

Development of a Noninvasive, Laser-Assisted Experimental Model of Corneal Endothelial Cell Loss

Published on: April 24, 2020

5.5K

Related Experiment Videos

Last Updated: Jul 27, 2025

Full-Field Optical Coherence Microscopy for Histology-Like Analysis of Stromal Features in Corneal Grafts
07:51

Full-Field Optical Coherence Microscopy for Histology-Like Analysis of Stromal Features in Corneal Grafts

Published on: October 21, 2022

1.7K
A Human Corneal Organ Culture Model of Descemet's Stripping Only with Accelerated Healing Stimulated by Engineered Fibroblast Growth Factor 1
12:36

A Human Corneal Organ Culture Model of Descemet's Stripping Only with Accelerated Healing Stimulated by Engineered Fibroblast Growth Factor 1

Published on: July 22, 2022

4.6K
Development of a Noninvasive, Laser-Assisted Experimental Model of Corneal Endothelial Cell Loss
06:23

Development of a Noninvasive, Laser-Assisted Experimental Model of Corneal Endothelial Cell Loss

Published on: April 24, 2020

5.5K

Area of Science:

  • Biomaterials Science
  • Ophthalmology
  • Computational Biology

Background:

  • Decellularized corneas are promising for transplantation, reducing immune rejection.
  • Current methods for evaluating decellularized corneal scaffold quality are subjective and lack standardization.
  • Objective and quantitative assessment of decellularized extracellular matrix quality is needed.

Purpose of the Study:

  • To develop a computational method for assessing corneal decellularization efficiency.
  • To establish objective metrics for evaluating decellularized corneal scaffold quality.
  • To leverage machine learning for improved analysis of decellularized corneal tissue.

Main Methods:

  • Combined semi-quantitative histological assessments with automated scaffold evaluation using image analysis.
  • Developed machine learning (ML) models, including random forests and support vector machines.
  • Utilized textual image analyses for automated scaffold evaluation.

Main Results:

  • Machine learning models demonstrated high accuracy in identifying regions of interest in acellularized corneal stromal tissue.
  • The computational approach provides a more objective and quantitative assessment of decellularization efficiency.
  • The study successfully validated the use of ML for evaluating subtle morphological changes in decellularized scaffolds.

Conclusions:

  • A computational, machine learning-based approach can effectively evaluate corneal decellularization.
  • This method offers a platform for developing biosensing systems to assess scaffold functionality.
  • Improved evaluation of decellularized corneal scaffolds is critical for successful transplantation outcomes.