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Related Experiment Video

Updated: Jun 8, 2025

Full-Field Optical Coherence Microscopy for Histology-Like Analysis of Stromal Features in Corneal Grafts
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Deep learning based highly accurate transplanted bioengineered corneal equivalent thickness measurement using optical

Daewoon Seong1, Euimin Lee1, Yoonseok Kim1

  • 1School of Electronic and Electrical Engineering, College of IT engineering, Kyungpook National University, Daegu, Republic of Korea.

NPJ Digital Medicine
|November 5, 2024
PubMed
Summary

This study introduces a deep learning method for evaluating bioengineered corneal transplants using optical coherence tomography. The technique accurately assesses graft integrity and biocompatibility, offering quantitative measurements for clinical use.

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Area of Science:

  • Ophthalmology
  • Biomedical Engineering
  • Artificial Intelligence

Background:

  • Corneal transplantation is vital for irreversible corneal diseases.
  • Limited donor availability necessitates bioengineered corneal equivalents.
  • Assessing bioengineered cornea properties requires advanced techniques.

Purpose of the Study:

  • To develop a deep learning-based automatic segmentation method for evaluating transplanted bioengineered corneal equivalents.
  • To achieve highly accurate assessments of graft integrity and biocompatibility.
  • To provide quantitative measurements for clinical utility in human keratoplasties.

Main Methods:

  • Utilized optical coherence tomography (OCT) for imaging.
  • Developed a deep learning algorithm for automatic segmentation of corneal structures.
  • Validated the method through 14 days of monitoring.

Main Results:

  • The method provides quantitative individual thickness values, detailed maps, and volume measurements.
  • Demonstrated high accuracy in evaluating graft integrity and biocompatibility.
  • Successfully performed automatic opacity area segmentation and implanted graft part extraction.

Conclusions:

  • The proposed deep learning method offers a quantitative assessment for bioengineered corneal equivalents.
  • Expected to have high clinical utility for human keratoplasties.
  • Advances the evaluation of corneal graft performance beyond animal studies.