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Updated: Jan 8, 2026

Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization

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Published on: July 5, 2016

Snapshot hyperspectral fundus imaging system using a microlens array.

Jongchan Park¹, Liang Gao^1,2

¹Department of Bioengineering, University of California, Los Angeles, California 90095, USA.

Medrxiv : the Preprint Server for Health Sciences

|December 19, 2025

Summary

This summary is machine-generated.

This study introduces a fast snapshot hyperspectral fundus camera using a microlens array to overcome motion artifacts in retinal imaging. This innovation enhances early disease diagnosis through improved spectral analysis of biomarkers.

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Area of Science:

Ophthalmology
Biomedical Optics
Medical Imaging

Background:

Retinal hyperspectral imaging aids early disease diagnosis by analyzing spectral signatures of biomarkers.
Conventional systems suffer from long scan times and motion artifacts due to involuntary eye movements.

Purpose of the Study:

To develop a rapid snapshot hyperspectral fundus camera to mitigate motion artifacts.
To enable faster and more reliable spectral analysis for retinal disease detection.

Main Methods:

A novel snapshot hyperspectral fundus camera utilizing a microlens array was designed.
The system integrates a streamlined optical path compatible with commercial fundus cameras.
Variable field-of-view (20°, 35°, 50°) and tunable spectral resolution versus light throughput were implemented.

Main Results:

The snapshot camera significantly reduces acquisition time compared to conventional systems.
The system effectively minimizes motion artifacts, improving image quality.
Adaptable spectral resolution and light throughput cater to diverse clinical needs.

Conclusions:

The developed snapshot hyperspectral fundus camera offers a promising solution for artifact-free retinal imaging.
This technology advances early disease diagnosis by enabling efficient spectral biomarker quantification.
The camera's flexibility supports a broad spectrum of ophthalmological diagnostic applications.