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

Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

2.1K
Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
2.1K
Streamlines, Streaklines, and Pathlines01:18

Streamlines, Streaklines, and Pathlines

1.3K
A streamline represents the trajectory that is always tangent to the fluid's velocity vector at any given point. The velocity of a fluid particle is always directed along the streamline, ensuring the particle continuously follows the streamline's path. Streamlines are particularly useful for visualizing the overall direction of flow in a fluid system, and they provide an instantaneous representation of the flow's velocity field. In steady flow, where conditions do not change over...
1.3K
Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

4.3K
Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...
4.3K

You might also read

Related Articles

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

Sort by
Same author

Myocardial Perfusion and Fluorodeoxyglucose Uptake Patterns in Cardiac Sarcoidosis Stratified by Diagnostic Category and Systemic Involvement.

Circulation journal : official journal of the Japanese Circulation Society·2026
Same author

External validation of ECG artificial intelligence for emergency and cardiac assessment across a large-scale U.S. healthcare system.

NPJ digital medicine·2026
Same author

Corrigendum to 'The Mechanism and Natural History of Mitral Regurgitation in Cardiac Sarcoidosis' [The American Journal of Cardiology 191 (2023) 84-91].

The American journal of cardiology·2026
Same author

Corrigendum to 'Clinical Response to Tumor Necrosis Factor-α Inhibitor Therapy in the Management of Cardiac Sarcoidosis' [The American Journal of Cardiology 205 (2023) 20-27].

The American journal of cardiology·2026
Same author

Symptomatic 2:1 AV block in a young adult.

Heart & lung : the journal of critical care·2026
Same author

Radionuclide imaging in cardio-oncology: A clinical decision-making tool.

Progress in cardiovascular diseases·2025

Related Experiment Video

Updated: Jun 14, 2025

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy
12:15

Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy

Published on: April 9, 2019

8.7K

Meet-in-Style: Text-Driven Real-Time Video Stylization Using Diffusion Models.

David Kunz, Ondrej Texler, David Mould

    IEEE Computer Graphics and Applications
    |March 24, 2025
    PubMed
    Summary

    Meet-in-Style enables real-time video stylization using text prompts at 30 fps. This novel approach enhances video conferencing by preserving structural consistency and minimizing flicker for an improved user experience.

    More Related Videos

    Computer-Generated Animal Model Stimuli
    26:43

    Computer-Generated Animal Model Stimuli

    Published on: July 29, 2007

    10.9K
    Automated Interactive Video Playback for Studies of Animal Communication
    07:21

    Automated Interactive Video Playback for Studies of Animal Communication

    Published on: February 9, 2011

    13.3K

    Related Experiment Videos

    Last Updated: Jun 14, 2025

    Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy
    12:15

    Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy

    Published on: April 9, 2019

    8.7K
    Computer-Generated Animal Model Stimuli
    26:43

    Computer-Generated Animal Model Stimuli

    Published on: July 29, 2007

    10.9K
    Automated Interactive Video Playback for Studies of Animal Communication
    07:21

    Automated Interactive Video Playback for Studies of Animal Communication

    Published on: February 9, 2011

    13.3K

    Area of Science:

    • Computer Vision
    • Computer Graphics
    • Artificial Intelligence

    Background:

    • Real-time video stylization is computationally demanding.
    • Existing text-to-image techniques often lack temporal consistency for video.

    Purpose of the Study:

    • To introduce Meet-in-Style, a novel real-time video stylization system.
    • To enable interactive application of visual styles to live video streams using text prompts.

    Main Methods:

    • Combines diffusion-based image stylization with a few-shot patch-based training strategy.
    • Develops a custom image-to-image stylization network for real-time inference.
    • Achieves 30 frames per second (fps) stylization on commodity hardware.

    Main Results:

    • Preserves structural consistency and minimizes temporal flicker in stylized video sequences.
    • Demonstrates significantly improved frame consistency compared to per-frame diffusion.
    • Achieves real-time performance on standard graphics hardware.

    Conclusions:

    • Meet-in-Style offers an effective solution for real-time video stylization.
    • The system enhances user experience in video conferencing through interactive style application.
    • The approach balances stylization quality with computational efficiency.