Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Super-Resolution Ultrasound Based Cell Tracking With Polymeric Nanobubbles.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Ultrasound Imaging.

Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer·2026
Same author

Microbubble Shell Stiffness Engineering Enhances Ultrasound Imaging, Drug Delivery, and Sonoporation.

Advanced materials (Deerfield Beach, Fla.)·2025
Same author

Advanced ultrasound methods to improve chronic kidney disease diagnosis.

Npj imaging..·2025
Same author

Ultrasound Localization Microscopy for Cancer Imaging.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same author

Super-Resolution Ultrasound: From Data Acquisition and Motion Correction to Localization, Tracking, and Evaluation.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

Theoretical Foundations of the Echo Envelope Statistical Modeling: A Tutorial.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

Practical Demonstrations of FR3-Band Thin-Film Lithium Niobate Acoustic Filter Design.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

Real-Time Heterogeneous Helical Wave Spectrum Method for Transabdominal Passive Acoustic Mapping.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

Cascaded Plane Wave Ultrasound Velocity Vector Imaging: In Vivo Feasibility in Carotid Arteries.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

Quantitative Acoustic Attenuation Scanning Using a Phase-Insensitive Ultrasound Computed Tomography System.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

FPGA-Accelerated CNN Reconstruction for Low-Power Sparse-Array Ultrasound Imaging.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
See all related articles

Related Experiment Video

Updated: Jun 10, 2025

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

5.8K

Influence of Image Discretization and Patch Size on Microbubble Localization Precision.

Julia Sobolewski, Stefanie Dencks, Georg Schmitz

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    |October 14, 2024
    PubMed
    Summary
    This summary is machine-generated.

    Image discretization and patch size significantly impact microbubble (MB) localization precision in ultrasound localization microscopy. Optimal parameter selection, particularly for Gaussian fitting, is crucial for accurate super-resolved vasculature mapping.

    More Related Videos

    Multi-timescale Microscopy Methods for the Characterization of Fluorescently-labeled Microbubbles for Ultrasound-Triggered Drug Release
    06:02

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

    Published on: June 12, 2021

    3.8K
    A High-Throughput Image-Guided Stereotactic Neuronavigation and Focused Ultrasound System for Blood-Brain Barrier Opening in Rodents
    08:02

    A High-Throughput Image-Guided Stereotactic Neuronavigation and Focused Ultrasound System for Blood-Brain Barrier Opening in Rodents

    Published on: July 16, 2020

    4.7K

    Related Experiment Videos

    Last Updated: Jun 10, 2025

    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

    5.8K
    Multi-timescale Microscopy Methods for the Characterization of Fluorescently-labeled Microbubbles for Ultrasound-Triggered Drug Release
    06:02

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

    Published on: June 12, 2021

    3.8K
    A High-Throughput Image-Guided Stereotactic Neuronavigation and Focused Ultrasound System for Blood-Brain Barrier Opening in Rodents
    08:02

    A High-Throughput Image-Guided Stereotactic Neuronavigation and Focused Ultrasound System for Blood-Brain Barrier Opening in Rodents

    Published on: July 16, 2020

    4.7K

    Area of Science:

    • Biomedical Imaging
    • Ultrasound Microscopy
    • Image Processing

    Background:

    • Accurate microbubble (MB) localization is fundamental for super-resolved ultrasound localization microscopy (ULM) of vasculature.
    • Previous studies show varying results regarding MB localization precision, necessitating reconciliation and guideline derivation.
    • Image discretization and patch size are critical factors influencing localization accuracy.

    Purpose of the Study:

    • To analyze the impact of image discretization and patch size on the precision of different MB localization methods.
    • To reconcile conflicting observations from previous studies on MB localization.
    • To provide feasible localization precision estimates and derive optimal parameter selection guidelines for ULM.

    Main Methods:

    • Simulated ultrasound images of MBs with Gaussian point-spread functions (PSFs) and Rician noise.
    • Tested four localization methods: Gaussian fit (GF), radial symmetry (RS), center of mass (CoM), and peak detection (PD).
    • Evaluated performance across varying patch sizes (N) and PSF width-to-pixel size ratios (σ/Δ), calculating Cramér-Rao lower bound (CRLB).

    Main Results:

    • Localization precision is highly sensitive to the ratio of PSF width to pixel size (σ/Δ) and patch size (N).
    • Both very small and very large σ/Δ ratios, especially with small N, degrade performance.
    • Gaussian fit (GF) demonstrated the best performance, closely approaching the CRLB, particularly when N is adapted to the PSF (N ≈ 3σ/Δ).

    Conclusions:

    • Optimal parameter selection for MB localization depends on the chosen method and imaging conditions.
    • For GF and RS methods, a practical guideline is to set pixel size (Δ) and patch size (N) such that N ≈ 3σ/Δ.
    • Adhering to these guidelines can significantly improve the precision of super-resolved vasculature mapping using ULM.