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Related Experiment Video

Updated: May 9, 2026

Multiplexing Focused Ultrasound Stimulation with Fluorescence Microscopy

Multiplexing Focused Ultrasound Stimulation with Fluorescence Microscopy

Published on: January 7, 2019

Dynamic models for ultrasound-switchable fluorescence.

Baohong Yuan^1,2

¹Ultrasound and Optical Imaging Laboratory, Department of Bioengineering, The University of Texas at Arlington, Arlington, TX 76019, United States of America.

Physics in Medicine and Biology

|May 8, 2026

Summary

This summary is machine-generated.

This study develops a dynamic model for ultrasound-switchable fluorescence (USF) imaging, revealing how signal velocity provides enhanced structural information for improved deep-tissue visualization beyond intensity alone.

Keywords:

deep tissue imaging dynamic models high-resolution imaging sensitivity matrix ultrasound-switchable fluorescence

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Last Updated: May 9, 2026

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Conducting Multiple Imaging Modes with One Fluorescence Microscope

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Published on: October 28, 2018

Area of Science:

Biomedical Optics
Medical Imaging Physics
Acoustic-Optical Imaging

Background:

Near-infrared fluorescence imaging offers deep-tissue visualization but is limited by photon scattering to millimeter resolution.
Ultrasound-switchable fluorescence (USF) enhances resolution by thermally activating fluorophores in a focused ultrasound region.
Quantitative understanding of the coupled acoustic-thermal-fluorescence-optical processes in USF is limited.

Purpose of the Study:

Establish a dynamic modeling framework for USF signal and velocity formation.
Explore model-driven strategies to enhance USF imaging performance.
Investigate the potential of velocity-based analysis for improved resolution and structural information.

Main Methods:

Developed a physics-based framework integrating ultrasound, thermal dynamics, fluorescence, and photon diffusion.
Performed analytical derivations and numerical simulations to analyze USF signal strength and velocity dynamics.
Investigated various target configurations and optical source-detector geometries.

Main Results:

The framework accurately reproduces the dynamic evolution of USF signal strength and velocity.
Derived analytical expressions for estimating target separation limits within the ultrasound focal volume.
Demonstrated that velocity-based analysis reveals structural information not present in intensity-based imaging.
Obtained a time-dependent sensitivity matrix indicating potential for improved spatial localization in tomographic reconstruction.

Conclusions:

Provides a quantitative theoretical basis for dynamic USF imaging.
Highlights the additional structural information obtainable from USF signal velocity.
Suggests velocity-based analysis can differentiate indistinguishable features within the focal volume.
The dynamic sensitivity matrix supports tomographic reconstruction and future deep-tissue super-resolution strategies.