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Single wavelength, dual temporal offset module for AOSLO systems.

Marcelina Sobczak1,2, Stephen Burns1

  • 1School of Optometry, Indiana University, Bloomington, IN, USA.

Biomedical Optics Express
|April 13, 2026
PubMed
Summary
This summary is machine-generated.

A new imaging module provides dual temporal and spatial offset imaging capabilities for enhanced blood flow calculations and template-free imaging in existing adaptive optics scanning light ophthalmoscopy (AOSLO) systems.

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Area of Science:

  • Ophthalmology
  • Biomedical Optics
  • Medical Imaging

Background:

  • Adaptive Optics Scanning Light Ophthalmoscopy (AOSLO) is crucial for high-resolution retinal imaging.
  • Current AOSLO systems have limitations in temporal and spatial offset imaging.
  • Blood flow calculations and template-free imaging require advanced imaging techniques.

Purpose of the Study:

  • To develop a generalizable module for dual temporal and spatial offset imaging.
  • To enhance existing AOSLO systems with new imaging functionalities.
  • To enable advanced applications like blood flow calculations and template-free imaging.

Main Methods:

  • Designed a module generating two optical channels from a single input.
  • Integrated custom Avalanche Photodiode (APD) detector systems.
  • Utilized a 1-to-5 fiber bundle to image channels onto five detectors for confocal and offset apertures.
  • Adapted the module for integration into existing AOSLO systems at pupil conjugate planes.

Main Results:

  • The module successfully enables dual temporal and spatial offset imaging.
  • Demonstrated capability for blood flow calculations and template-free imaging at a single focus.
  • Presented customization examples for Indiana AOSLO and APAEROS systems.
  • The system utilizes custom APD detector systems for data acquisition.

Conclusions:

  • The developed module is a versatile addition to AOSLO systems.
  • It enhances imaging capabilities for advanced retinal analysis.
  • The generalizable design allows for integration into various AOSLO platforms.