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Related Experiment Video

Updated: Jan 19, 2026

Three-dimensional Optical-resolution Photoacoustic Microscopy

Three-dimensional Optical-resolution Photoacoustic Microscopy

Published on: May 3, 2011

Single-pixel camera photoacoustic tomography.

Nam Huynh¹, Felix Lucka^2,3, Edward Zhang¹

¹University College London, Department of Medical Physics and Biomedical Engineering, England, United Kingdom.

Journal of Biomedical Optics

|September 20, 2019

Summary

This summary is machine-generated.

This study demonstrates 3-D compressed-sensing photoacoustic tomography (PAT) using a single-pixel camera, achieving high-resolution imaging with significantly reduced data. This advancement promises faster, more efficient 3-D imaging systems.

Keywords:

Fabry–Pérot sensor compressed sensing photoacoustic tomography

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Area of Science:

Biomedical Optics
Imaging Science
Compressed Sensing

Background:

Single-pixel cameras offer reduced cost and data volume for imaging applications.
Photoacoustic tomography (PAT) is a valuable imaging modality.
Compressed sensing techniques are crucial for efficient data acquisition.

Purpose of the Study:

To demonstrate three-dimensional (3-D) compressed-sensing photoacoustic tomography (PAT) using a single-pixel camera.
To explore the potential of reduced channel count, cost, and data volume in PAT.
To achieve high-resolution 3-D imaging with significant data compression.

Main Methods:

Utilized a single-pixel camera setup with a Fabry–Pérot ultrasound sensor and a digital micromirror device.
Employed a scrambled Hadamard basis for light patterning.
Applied an accelerated proximal gradient algorithm with total variation regularization for image reconstruction.

Main Results:

Successfully demonstrated 3-D compressed-sensing PAT.
Achieved imaging of phantoms with compression rates as low as 10%.
Showcased the potential for reduced data acquisition time and volume.

Conclusions:

Single-pixel camera-based compressed-sensing PAT is feasible and effective.
This approach can significantly improve the efficiency of 3-D photoacoustic imaging.
The method holds promise for developing faster, higher-resolution, and wider field-of-view imaging systems.