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Related Experiment Video

Updated: Jun 13, 2026

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

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

Published on: August 4, 2018

Optical imaging using binary sensors.

Aurélien Bourquard¹, François Aguet, Michael Unser

¹Laboratoire d'Imagerie Biomédicale, Ecole Polytechnique Fédérale De Lausanne, Switzerland. aurelien.bourquard@epfl.ch

|April 15, 2010

Summary

This summary is machine-generated.

This study reconstructs images from limited 1-bit data using a novel optical system and a pseudo-random phase-shifting mask. The developed algorithm successfully recovers grayscale images, proving the approach

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Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution

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Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution

Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution

Published on: September 5, 2012

Area of Science:

Optics and Photonics
Image Processing
Computational Imaging

Background:

Traditional imaging systems often require high-resolution sensors and extensive data.
Compressive sensing offers a framework for acquiring and reconstructing signals from sub-Nyquist samples.
1-bit quantization presents significant challenges due to extreme data reduction.

Purpose of the Study:

To develop a method for image reconstruction from 1-bit quantized measurements.
To introduce a nonconventional optical acquisition model for efficient image capture.
To demonstrate the feasibility of reconstructing grayscale images using the proposed system.

Main Methods:

Utilized a compressed-sensing framework.
Introduced a pseudo-random phase-shifting mask at the optical system's aperture.
Developed a reconstruction algorithm specifically tailored to the phase-shifting mask.

Main Results:

Successfully reconstructed grayscale images from 1-bit quantized measurements.
Demonstrated the feasibility of the proposed optical acquisition and reconstruction approach.
Validated the effectiveness of the tailored reconstruction algorithm.

Conclusions:

The proposed method enables image reconstruction from highly compressed 1-bit measurements.
The integration of a pseudo-random phase-shifting mask is effective for this imaging modality.
This approach offers a potential pathway for low-cost, high-efficiency imaging systems.