Adaptive optics in the mouse eye: wavefront sensing based vs. image-guided aberration correction.

Area of Science:

• Biomedical optics
• Ophthalmology
• Microscopy

Background:

• Adaptive optics (AO) is crucial for achieving diffraction-limited resolution in biological and medical imaging.
• High-fidelity visualization of cellular structures, particularly in retinal imaging, relies on correcting ocular aberrations.
• Conventional wavefront sensor (WFS)-based AO for mouse retinal imaging faces limitations such as non-common path errors and wavefront reconstruction inaccuracies.

Purpose of the Study:

• To demonstrate the efficacy of image-based AO as an alternative to conventional WFS-based AO for mouse retinal imaging.
• To compare the aberration correction and image resolution performance of image-based AO with Shack-Hartmann WFS-based AO.
• To explore the potential of image-based AO to improve compactness, accessibility, and overall performance.

Main Methods:

• Implemented an image-based AO system for aberration correction in mouse eyes.
• Utilized wavefront sensorless optimization to monitor residual wavefront error.
• Compared the performance of image-based AO with a conventional Shack-Hartmann WFS-based AO system.

Main Results:

• Image-based AO achieved aberration correction comparable to conventional WFS-based AO.
• Similar image resolution was obtained using both image-based and WFS-based AO methods.
• The study successfully monitored residual wavefront error during sensorless optimization, enabling performance improvements.

Conclusions:

• Image-based AO provides a comparable and potentially advantageous approach for aberration correction in small animal retinal imaging.
• This method overcomes limitations associated with WFS-based systems, offering improved compactness and accessibility.
• The findings support the advancement of AO techniques for enhanced biological and medical imaging applications.