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Related Experiment Video

Updated: Jun 26, 2026

Multi-timescale Microscopy Methods for the Characterization of Fluorescently-labeled Microbubbles for Ultrasound-Triggered Drug Release

Multi-timescale Microscopy Methods for the Characterization of Fluorescently-labeled Microbubbles for Ultrasound-Triggered Drug Release

Published on: June 12, 2021

Methods for Rapid Characterization of Tunable Microbubble Formulations.

Savannah L Harpster¹, Alexandra M Piñeiro¹, Joyce Y Wong^1,2

¹Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA.

Bioengineering (Basel, Switzerland)

|January 8, 2025

Summary

This summary is machine-generated.

Researchers developed a new method to quickly measure microbubble characteristics like size and concentration. This helps in optimizing microbubble formulations for medical uses by analyzing acoustic intensity and size distribution.

Keywords:

lipids medical imaging microbubbles particle segmentation tissue-mimicking phantom ultrasound

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Last Updated: Jun 26, 2026

Multi-timescale Microscopy Methods for the Characterization of Fluorescently-labeled Microbubbles for Ultrasound-Triggered Drug Release

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Fabricating and Labeling Microbubbles with Fluorescent and Radioactive Tracers

Fabricating and Labeling Microbubbles with Fluorescent and Radioactive Tracers

Published on: January 24, 2025

Area of Science:

Biomedical Engineering
Materials Science
Acoustics

Background:

Optimizing microbubble formulations for clinical applications requires rapid measurement of size distribution, concentration, and acoustic intensity.
Iterative design of microbubbles necessitates efficient characterization methods.

Purpose of the Study:

To develop and validate a comprehensive method for comparing microbubble formulations with varying lipid shell compositions.
To enable rapid assessment of microbubble properties for improved formulation design.

Main Methods:

Utilized optical (ImageJ macro for counting and sizing) and acoustic (agarose phantom for echogenicity) measurement techniques.
Modified open-source ImageJ macro for selective counting and sizing of brightfield microbubble images.
Designed a high-throughput agarose phantom to collect multiple scattering reflections for estimating echogenicity.

Main Results:

Successfully collected data on size distribution, concentration, and mean scattering intensity for different microbubble formulations.
Demonstrated the ability to estimate echogenicity using a novel high-throughput phantom.
The combined analysis of size, concentration, and scattering power identified necessary modifications for microbubble prototyping.

Conclusions:

The developed method provides a comprehensive approach to characterize microbubble formulations.
Rapid optical and acoustic measurements facilitate efficient iteration in microbubble design for clinical applications.
This technique aids in identifying specific modifications needed for prototyping targeted microbubble formulations.