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Imaging Biological Samples with Optical Microscopy01:18

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Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
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Developing Clinically Implementable Approaches for Directional Optical Coherence Tomography.

Pei Ying Lee1, Jingjing Lin1, Da Zhao1

  • 1Department of Optometry and Vision Sciences, The University of Melbourne, Melbourne, VIC, Australia.

Translational Vision Science & Technology
|March 16, 2026
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Summary
This summary is machine-generated.

Directional optical coherence tomography (OCT) offers accurate outer nuclear layer (ONL) measurements. Corrected segmentation analysis provides reliable and clinically applicable retinal thickness data.

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Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Retinal Imaging

Background:

  • Optical coherence tomography (OCT) is crucial for retinal imaging.
  • Accurate measurement of the outer nuclear layer (ONL) is essential for diagnosing and monitoring retinal diseases.
  • Existing OCT methods can be confounded by the Henle fiber layer, necessitating improved techniques.

Purpose of the Study:

  • To evaluate different image acquisition and analysis methods for directional OCT.
  • To develop a clinically implementable tool for precise ONL thickness measurement.
  • To assess the reliability and efficiency of directional OCT techniques.

Main Methods:

  • Directional OCT imaging was performed on 12 participants using Spectralis OCT2.
  • Two acquisition approaches were used: operator-driven beam displacement and patient-controlled fixation.
  • Outer nuclear layer (ONL) thickness was segmented using automated and corrected methods, compared to manual segmentation.
  • Test-retest reliability was assessed across sessions.

Main Results:

  • Corrected segmentation yielded ONL thickness values comparable to manual segmentation (nasal, P = 0.43; temporal, P = 0.06).
  • Automated segmentation resulted in significantly thicker ONL measurements (nasal, P = 0.05; temporal, P < 0.01).
  • Both directional OCT acquisition methods and corrected segmentation demonstrated good test-retest reliability.

Conclusions:

  • Directional OCT acquisition is feasible using operator or patient-controlled methods.
  • Corrected ONL segmentation offers a time- and resource-efficient alternative to manual segmentation.
  • The developed directional OCT approach is suitable for clinical implementation and provides reliable retinal thickness measurements.