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Bringing the Visible Universe into Focus with Robo-AO
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Robust wavefront correction using AdamW-enhanced SPGD for computational adaptive optics in optical coherence

JongIn You1,2,3, Taeguk Eom1,2, SeungWan Cho1,2

  • 1Department of Mechanical Engineering, KAIST, Daejeon, Republic of Korea.

Biomedical Optics Express
|May 18, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces an improved computational adaptive optics (CAO) method using AdamW-enhanced stochastic parallel gradient descent (SPGD) for faster, more stable optical aberration correction in optical coherence tomography (OCT) imaging.

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Area of Science:

  • Biomedical Optics
  • Ophthalmic Imaging
  • Computational Imaging

Background:

  • Computational adaptive optics (CAO) corrects aberrations in optical coherence tomography (OCT) without extra hardware.
  • Conventional stochastic parallel gradient descent (SPGD) algorithms for CAO face challenges like slow convergence and instability.

Purpose of the Study:

  • To develop a more efficient and stable CAO algorithm for OCT.
  • To enhance aberration correction performance in ophthalmic imaging.

Main Methods:

  • An AdamW-enhanced SPGD algorithm was developed, incorporating adaptive learning rates and weight decay.
  • An eigenvalue-based sharpness metric was introduced for robust optimization.
  • The method was validated using simulations and swept-source OCT systems.

Main Results:

  • The AdamW-SPGD algorithm demonstrated accelerated convergence and improved stability.
  • Cellular-level visualization of retinal structures (photoreceptor and nerve fiber layers) was achieved.
  • The approach proved effective under realistic imaging conditions.

Conclusions:

  • The proposed AdamW-enhanced SPGD method offers significant advancements over conventional CAO techniques.
  • This optimized CAO approach shows strong potential for clinical translation in ophthalmic applications.
  • Enhanced aberration correction enables higher-resolution retinal imaging.