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Related Experiment Video

Updated: Jun 16, 2026

Imaging and Quantification of the Area of Fast-Moving Microbubbles Using a High-Speed Camera and Image Analysis
05:31

Imaging and Quantification of the Area of Fast-Moving Microbubbles Using a High-Speed Camera and Image Analysis

Published on: September 5, 2020

A non-linear three-dimensional model for quantifying microbubble dynamics.

Abhay V Patil1, Paul Reynolds, John A Hossack

  • 1Department of Biomedical Engineering, University of Virginia, 415 Lane Road, Room 2127, Charlottesville, Virginia 22908, USA. avp2b@virginia.edu

The Journal of the Acoustical Society of America
|February 9, 2010
PubMed
Summary
This summary is machine-generated.

This study presents a 3D non-linear model for microbubble acoustic response. The model accurately simulates microbubble oscillations, matching experimental data for both free and bound microbubbles.

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Last Updated: Jun 16, 2026

Imaging and Quantification of the Area of Fast-Moving Microbubbles Using a High-Speed Camera and Image Analysis
05:31

Imaging and Quantification of the Area of Fast-Moving Microbubbles Using a High-Speed Camera and Image Analysis

Published on: September 5, 2020

Induction of Microstreaming by Nonspherical Bubble Oscillations in an Acoustic Levitation System
08:19

Induction of Microstreaming by Nonspherical Bubble Oscillations in an Acoustic Levitation System

Published on: May 9, 2021

Area of Science:

  • Acoustics and Biomedical Engineering
  • Nonlinear Dynamics
  • Microscale Phenomena

Background:

  • Microbubbles are crucial in medical ultrasound applications.
  • Understanding microbubble behavior under acoustic insonation is vital for diagnostic and therapeutic advancements.
  • Previous models often simplified microbubble dynamics, necessitating more comprehensive simulations.

Purpose of the Study:

  • To develop and validate a three-dimensional non-linear computational model for microbubble response to acoustic waves.
  • To accurately predict microbubble radius-time curves under various acoustic conditions.
  • To investigate the influence of confinement on microbubble oscillation patterns.

Main Methods:

  • Development of a 3D non-linear model incorporating fluid dynamics and acoustic wave interactions.
  • Simulation of microbubble response to pulsed ultrasound at specific frequencies (2.4 MHz and 2.25 MHz).
  • Comparison of model predictions with experimental data for free and bound microbubbles.

Main Results:

  • The model accurately predicted radius-time curves for a 1 µm microbubble stimulated with 2.4 MHz pulses (error <10%).
  • Simulations of a bound 2.3 µm microbubble showed oscillations 45% lower than free microbubbles, correlating well with prior experimental findings (approx. 10% error).
  • Observed asymmetric oscillation in the plan view and symmetric oscillation in the elevation view for adherent microbubbles.

Conclusions:

  • The developed 3D non-linear model provides a robust tool for simulating microbubble dynamics.
  • The model successfully captures the effects of acoustic insonation and confinement on microbubble behavior.
  • Findings support the model's utility in advancing ultrasound-based medical technologies.