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

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...

You might also read

Related Articles

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

Sort by
Same author

Cerebral Activation During Moral Decisions and Salience Network Coherence in Ideation of Suicide.

Revista Colombiana de psiquiatria·2026
Same author

A Unified Deep Learning Framework for Instance Segmentation Across Diverse Cytological Stains.

Cytopathology : official journal of the British Society for Clinical Cytology·2026
Same author

A case-control neuroimaging investigation of chronic Zika virus-infected adults.

Frontiers in human neuroscience·2026
Same author

AI-Driven Fetal Liver Echotexture Analysis: A New Frontier in Predicting Neonatal Insulin Imbalance.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine·2025
Same author

Prenatal Ultrasonographic Markers of Macrossomia and C-Peptide in Gestational Diabetes Mellitus: A Prospective Cohort Study.

Diagnostics (Basel, Switzerland)·2025
Same author

Rare <i>PANK2</i> variants and pantothenate-kinase-associated neurodegeneration in the Dominican Republic.

Brain communications·2025
Same journal

Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios.

Journal of digital imaging·2023
Same journal

Detecting and Characterizing Inferior Vena Cava Filters on Abdominal Computed Tomography with Data-Driven Computational Frameworks.

Journal of digital imaging·2023
Same journal

DMCA-GAN: Dual Multilevel Constrained Attention GAN for MRI-Based Hippocampus Segmentation.

Journal of digital imaging·2023
Same journal

Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning Algorithms.

Journal of digital imaging·2023
Same journal

Public Imaging Datasets of Gastrointestinal Endoscopy for Artificial Intelligence: a Review.

Journal of digital imaging·2023
Same journal

External Validation of Robust Radiomic Signature to Predict 2-Year Overall Survival in Non-Small-Cell Lung Cancer.

Journal of digital imaging·2023
See all related articles

Related Experiment Video

Updated: Jun 16, 2026

Multi-Fiber Photometry to Record Neural Activity in Freely-Moving Animals
05:52

Multi-Fiber Photometry to Record Neural Activity in Freely-Moving Animals

Published on: October 20, 2019

Performing real-time interactive fiber tracking.

Adiel Mittmann1, Tiago H C Nobrega, Eros Comunello

  • 1Universidade Federal de Santa Catarina, Departamento de Informática e Estatística, 88040-970, Florianópolis, SC, Brazil. adiel@inf.ufsc.br

Journal of Digital Imaging
|February 16, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces real-time interactive fiber tracking for brain imaging. Utilizing graphics processing units, it enables faster visualization of neural pathways, improving the neuroradiologist

More Related Videos

A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation
16:23

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation

Published on: May 23, 2017

Related Experiment Videos

Last Updated: Jun 16, 2026

Multi-Fiber Photometry to Record Neural Activity in Freely-Moving Animals
05:52

Multi-Fiber Photometry to Record Neural Activity in Freely-Moving Animals

Published on: October 20, 2019

A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation
16:23

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation

Published on: May 23, 2017

Area of Science:

  • Neuroimaging
  • Computational Neuroscience
  • Medical Technology

Background:

  • Fiber tracking, based on diffusion tensor magnetic resonance imaging (DTI), is crucial for mapping brain white matter tracts.
  • Current fiber tracking tools suffer from limited interactivity due to high computational demands.

Purpose of the Study:

  • To develop a real-time interactive fiber tracking approach for a more intuitive neuroradiology environment.
  • To enable immediate visualization of fiber trajectories during user interaction.

Main Methods:

  • Implemented a novel real-time interactive fiber tracking algorithm.
  • Leveraged graphics processing units (GPUs) on video cards to accelerate the fiber tracking computations.
  • Executed fiber tracking automatically and continuously during user manipulation of the region of interest.

Main Results:

  • Demonstrated the feasibility of real-time interactive fiber tracking.
  • Achieved interactive performance using common, low-cost video card hardware.
  • Showcased a responsive user experience for neuroradiologists.

Conclusions:

  • Real-time interactive fiber tracking is achievable with current consumer-grade GPU technology.
  • This approach significantly enhances the interactivity and usability of fiber tracking software.
  • The developed tool offers a promising advancement for clinical neuroimaging analysis.