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Related Experiment Video

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Three-dimensional Optical-resolution Photoacoustic Microscopy
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Multilateration-based photoacoustic tomography for reconstruction-free 3D particle localization.

Huazhen Chen, Feiyu Lu, Shuyao Liao

    Optics Express
    |March 18, 2026
    PubMed
    Summary

    We developed multilateration-based photoacoustic tomography (MPAT) for precise 3D source localization. This reconstruction-free method uses few transducers, improving accessibility and scalability for dynamic particle tracking.

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    Area of Science:

    • Biomedical Optics
    • Acoustic Imaging
    • Nanotechnology

    Background:

    • Photoacoustic tomography (PAT) is vital for mapping absorptive targets.
    • Current PAT methods often require dense transducer arrays and heavy computation, limiting their use.
    • Accessibility and scalability challenges hinder widespread PAT adoption.

    Purpose of the Study:

    • To introduce a novel multilateration-based photoacoustic tomography (MPAT) method.
    • To enable precise 3D localization of photoacoustic sources with minimal transducers.
    • To provide a reconstruction-free approach for enhanced PAT applications.

    Main Methods:

    • Developed a multilateration-based photoacoustic tomography (MPAT) system.
    • Utilized a sparse array of ultrasonic transducers for signal detection.
    • Employed multilateration principles for source localization without image reconstruction.
    • Validated the method through simulations and experimental studies.

    Main Results:

    • Achieved micrometer-level precision in 3D multilateration using few transducers.
    • Successfully captured both static distributions and dynamic particle trajectories.
    • Demonstrated the feasibility of reconstruction-free particle localization.
    • MPAT offers improved accessibility and scalability over traditional PAT.

    Conclusions:

    • MPAT provides a precise, reconstruction-free method for 3D photoacoustic source localization.
    • The technique enhances accessibility and scalability by using sparse transducer arrays.
    • MPAT is suitable for tracking static distributions and dynamic particle movements.
    • This work establishes a framework for sparse, geometry-flexible particle multilateration.