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Updated: Oct 31, 2025

Three-dimensional Optical-resolution Photoacoustic Microscopy

Three-dimensional Optical-resolution Photoacoustic Microscopy

Published on: May 3, 2011

Perspective on fast-evolving photoacoustic tomography.

Junjie Yao¹, Lihong V Wang²

¹Duke University, Department of Biomedical Engineering, Durham, North Carolina, United States.

Journal of Biomedical Optics

|July 1, 2021

Summary

This summary is machine-generated.

Photoacoustic tomography (PAT) uses light and sound for deep tissue imaging, advancing cancer diagnosis and brain imaging. Recent innovations enhance its speed, sensitivity, and data processing for biomedical research.

Keywords:

high-speed imaging machine learning optical ultrasound detection optoacoustic imaging photoacoustic tomography volumetric imaging wearable device

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Last Updated: Oct 31, 2025

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Published on: May 3, 2011

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Universal Hand-held Three-dimensional Optoacoustic Imaging Probe for Deep Tissue Human Angiography and Functional Preclinical Studies in Real Time

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Published on: November 4, 2014

Area of Science:

Biomedical Imaging
Optical Physics
Acoustic Engineering

Background:

Photoacoustic tomography (PAT) combines optical absorption contrast with ultrasound detection for deep tissue imaging.
PAT offers functional and molecular sensitivity, bridging optical and ultrasound imaging modalities.
Technological advancements have expanded PAT's role in life sciences and clinical applications.

Purpose of the Study:

To provide an update on recent technical advancements in photoacoustic tomography (PAT).
To highlight innovations in volumetric deep-tissue imaging and high-speed microscopic imaging.
To showcase machine learning applications in PAT image reconstruction and data processing.

Main Methods:

Review of recent innovations in PAT technology.
Focus on volumetric deep-tissue imaging and high-speed wide-field microscopic imaging.
Exploration of high-sensitivity optical ultrasound detection and AI-enhanced image processing.

Main Results:

Demonstration of PAT's improved capabilities in deep-tissue and microscopic imaging.
Integration of machine learning for enhanced image reconstruction and data analysis.
Successful application of PAT in various biomedical research areas.

Conclusions:

PAT technologies continue to evolve with significant potential in biomedical research.
Future developments are expected to further enhance PAT's capabilities and applications.
PAT is poised to play an increasingly vital role in diagnostics and therapy.