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Related Experiment Video

Updated: May 28, 2026

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Published on: January 28, 2019

Geometrically superresolved lensless imaging using a spatial light modulator.

Ohad Fixler¹, Zeev Zalevsky

¹School of Engineering, Bar Ilan University, Ramat Gan, 52900, Israel.

|October 22, 2011

Summary

This summary is machine-generated.

This study presents a new imaging system using a spatial light modulator (SLM) to achieve super-resolution. The system enhances geometric resolution by combining tunable focus, microscanning, and projected amplitude patterns for improved image reconstruction.

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Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy (oSLO) and Optical Coherence Tomography (OCT)

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Published on: August 4, 2018

Area of Science:

Optics and Photonics
Image Processing
Microscopy

Background:

Traditional imaging systems face limitations in achieving high geometric resolution.
Enhancing spatial sampling density is crucial for improving image quality.
Phase-only spatial light modulators offer versatile optical manipulation capabilities.

Purpose of the Study:

To introduce an advanced imaging system for enhanced geometric resolution.
To leverage a spatial light modulator (SLM) for combined optical functions.
To reconstruct a geometrically super-resolved image from low-resolution inputs.

Main Methods:

Utilized a reflective phase-only spatial light modulator (SLM).
Implemented a tunable lens and prism function for microscanning.
Employed the Gerchberg-Saxton algorithm for phase function computation and projection.
Reconstructed super-resolved images by interlacing projected patterns and shifted low-resolution images with regularization.

Main Results:

Achieved improved geometric resolution in imaging.
Demonstrated the capability of the SLM to perform tunable focusing and prism functions.
Successfully projected an amplitude pattern onto the inspected object.
Reconstructed a geometrically super-resolved image through a novel interlacing and regularization approach.

Conclusions:

The developed imaging system effectively enhances geometric resolution.
The integration of SLM functionalities provides a powerful tool for advanced imaging.
The proposed reconstruction method enables the generation of super-resolved images.