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

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

8.8K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
8.8K

You might also read

Related Articles

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

Sort by
Same author

Abiotic Pathways Bridge the Molecular Transformation from Terrestrial to Lacustrine Dissolved Organic Matter in Shallow Lakes.

Environmental science & technology·2026
Same author

Tailored Surface Microenvironment of Molecular Nanophotocatalysts for Boosting Photocatalytic Hydrogen Evolution.

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

Impact of altered HDL2b/HDL3 ratio on the function of innate immune cells in sepsis.

Lipids in health and disease·2026
Same author

A sequentially responsive DNA nanodevice for spatioselective imaging of mitochondrial miRNA and early assessment of therapeutic efficacy.

Biosensors & bioelectronics·2026
Same author

Modeling Hereditary Angioedema With Personalized EPSC-Derived Hepatocytes: A CRISPR-Validated Platform for Mutation-Specific Mechanisms and Therapeutic Innovation.

Allergy·2026
Same author

Node-RADS in cervical cancer: a multi-reader agreement and diagnostic performance study.

Cancer imaging : the official publication of the International Cancer Imaging Society·2026

Related Experiment Video

Updated: Oct 2, 2025

Three-dimensional Optical-resolution Photoacoustic Microscopy
08:31

Three-dimensional Optical-resolution Photoacoustic Microscopy

Published on: May 3, 2011

18.4K

Virtual optical-resolution photoacoustic microscopy using the k-Wave method.

Xianlin Song, Ganyu Chen, Aojie Zhao

    Applied Optics
    |February 24, 2022
    PubMed
    Summary

    A virtual optical-resolution photoacoustic microscopy (OR-PAM) system was developed using k-Wave. This simulation platform generates crucial data for training deep learning models, overcoming OR-PAM data acquisition challenges.

    More Related Videos

    Switchable Acoustic and Optical Resolution Photoacoustic Microscopy for In Vivo Small-animal Blood Vasculature Imaging
    10:17

    Switchable Acoustic and Optical Resolution Photoacoustic Microscopy for In Vivo Small-animal Blood Vasculature Imaging

    Published on: June 26, 2017

    12.1K
    Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography
    11:21

    Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

    Published on: January 15, 2013

    11.7K

    Related Experiment Videos

    Last Updated: Oct 2, 2025

    Three-dimensional Optical-resolution Photoacoustic Microscopy
    08:31

    Three-dimensional Optical-resolution Photoacoustic Microscopy

    Published on: May 3, 2011

    18.4K
    Switchable Acoustic and Optical Resolution Photoacoustic Microscopy for In Vivo Small-animal Blood Vasculature Imaging
    10:17

    Switchable Acoustic and Optical Resolution Photoacoustic Microscopy for In Vivo Small-animal Blood Vasculature Imaging

    Published on: June 26, 2017

    12.1K
    Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography
    11:21

    Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

    Published on: January 15, 2013

    11.7K

    Area of Science:

    • Biomedical Optics
    • Photoacoustic Imaging
    • Computational Imaging

    Background:

    • Deep learning (DL) in optical-resolution photoacoustic microscopy (OR-PAM) requires extensive datasets.
    • OR-PAM's complex structure, high cost, and slow imaging speed hinder sufficient data generation.
    • This data scarcity limits the advancement of DL applications in OR-PAM.

    Purpose of the Study:

    • To propose a virtual OR-PAM system using k-Wave simulation.
    • To address the challenge of limited data availability for DL in OR-PAM.
    • To facilitate the development and application of DL techniques in OR-PAM research.

    Main Methods:

    • Developed a virtual OR-PAM simulation platform based on k-Wave.
    • Configured excitation light sources (Gaussian and Bessel beams) and ultrasonic probes.
    • Implemented scanning and signal processing modules for data generation.
    • Validated system performance through imaging simulations.

    Main Results:

    • Successfully simulated common Gaussian-beam and Bessel-beam OR-PAM systems.
    • Verified system performance metrics including lateral and axial resolution and depth of field.
    • Demonstrated the platform's capability for 3D vascular network imaging.
    • Confirmed the generation of datasets suitable for deep learning training.

    Conclusions:

    • The virtual OR-PAM system effectively simulates OR-PAM imaging.
    • This simulation platform overcomes data acquisition limitations for DL in OR-PAM.
    • The developed virtual OR-PAM is a valuable tool for promoting OR-PAM research and DL applications.