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Related Experiment Video

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Multimodal Optical Imaging Platform for Studying Cellular Metabolism

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Diffuser-based computational imaging funduscope.

Yunzhe Li, Gregory N McKay, Nicholas J Durr

|July 17, 2020

Summary

This summary is machine-generated.

This study introduces a novel diffuser-based computational funduscope, a low-cost, portable eye imaging technology. It reconstructs detailed fundus images, addressing global challenges in eye care accessibility.

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Area of Science:

Biomedical Optics
Ophthalmology
Computational Imaging

Background:

Poor access to eye care is a global challenge.
Low-cost, portable diagnostic technologies are needed.
Diffuser-based imaging offers potential for compact optical systems.

Purpose of the Study:

To present a diffuser-based computational funduscope.
To reconstruct clinical features of a model eye.
To demonstrate an infinite-conjugate design for improved imaging.

Main Methods:

Developed a diffuser-based computational funduscope with an infinite-conjugate design.
Relayed the ocular lens onto the diffuser for shift-invariance.
Experimentally validated fundus image reconstruction and refractive error robustness.

Main Results:

Reconstructed fundus images with important clinical features from a model eye.
Achieved a 33° field-of-view (FOV).
Demonstrated robustness to ±4D refractive error with a constant point-spread-function.

Conclusions:

The developed funduscope enables low-cost, portable eye imaging.
The infinite-conjugate design provides wide FOV and depth range.
Combined with wavefront sensing, it could enable integrated ocular diagnostics.