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Updated: Jul 20, 2026
08:31
Three-dimensional Optical-resolution Photoacoustic Microscopy
Published on: May 3, 2011
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Deep computational photoacoustic mesoscopy through heterogeneous tissues enabled by scanning compensation and
Bingqian Yang1,2,3, Xiao Hu1,2,3, Shuai Zhao4
1The School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China.
Photoacoustics
|March 9, 2026
Summary
Computational photoacoustic mesoscopy (CPAMe) breaks the depth-resolution trade-off in deep-tissue imaging. This new framework uses a low-frequency transducer and advanced algorithms for high-resolution visualization in vivo.
Area of Science:
- Biomedical Imaging
- Optical Physics
- Acoustic Imaging
Background:
- Optical microscopy offers high resolution but limited penetration depth due to scattering.
- Photoacoustic microscopy (PAM) overcomes scattering but faces a depth-resolution trade-off with transducer choice.
- Existing PAM methods struggle to achieve both deep penetration and fine detail simultaneously.
Purpose of the Study:
- To develop a novel imaging strategy that decouples penetration depth from resolution in photoacoustic microscopy.
- To introduce a computational photoacoustic mesoscopy (CPAMe) framework for high-resolution deep-tissue imaging.
- To enable non-invasive transcranial brain imaging and advance mesoscopy for clinical applications.
Main Methods:
- Developed a computational photoacoustic mesoscopy (CPAMe) framework utilizing a low-frequency transducer (LF-UT).
- Implemented a real-time hardware stabilization strategy with laser-energy compensation and encoder correction for uniform volumetric sampling.
- Applied a directionally weighted angular-spectrum synthetic-aperture focusing technique (DWAS-SAFT) with multi-layer speed-of-sound modeling for enhanced resolution and artifact suppression.
Main Results:
- CPAMe significantly improved lateral resolution by up to 46% across various phantoms and biological samples.
- Demonstrated high-resolution imaging through tissue phantoms, mouse skull, and human cranial repair material (PMMA).
- Achieved capabilities for transcranial brain imaging, whole-body small-animal imaging, tumor visualization, and human vascular imaging.
Conclusions:
- CPAMe effectively overcomes the depth-resolution limitations inherent in conventional photoacoustic microscopy.
- The framework provides a practical and scalable approach for deep-tissue, high-resolution imaging.
- CPAMe opens new avenues for non-invasive monitoring and clinical translation of mesoscopic imaging techniques.
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