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

Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...
Ultrasound II: Endoscopic Ultrasound and FibroScan01:25

Ultrasound II: Endoscopic Ultrasound and FibroScan

Endoscopic Ultrasound (EUS) and FibroScan are valuable diagnostic tools in gastroenterology and hepatology, each with specific applications and techniques.
Endoscopic Ultrasound (EUS):
Two-Dimensional Microscopy in Microbiology01:29

Two-Dimensional Microscopy in Microbiology

Two-dimensional (2D) microscopy encompasses a range of optical techniques that capture images within a single focal plane, offering detailed representations of microscopic structures. These techniques are essential in biological and medical research, enabling the visualization of cellular and subcellular structures with different levels of contrast and specificity.There are several major types of 2D microscopy, each with strengths and applications.Bright-Field MicroscopyBright-field microscopy...

You might also read

Related Articles

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

Sort by
Same author

Fusion of computational and experimental provenance in RO-Crate.

Journal of integrative bioinformatics·2026
Same author

Region-Aware Wasserstein Distances of Persistence Diagrams and Merge Trees.

IEEE transactions on visualization and computer graphics·2026
Same author

LAMDA: Aiding Visual Exploration of Atomic Displacements in Molecular Dynamics Simulations.

IEEE transactions on visualization and computer graphics·2026
Same author

Designing for Disclosure in Data Visualizations.

IEEE transactions on visualization and computer graphics·2025
Same author

Toward automated plantar pressure analysis: machine learning-based segmentation and key point detection across multicenter data.

Frontiers in bioengineering and biotechnology·2025
Same author

Accelerating Computation of Stable Merge Tree Edit Distances Using Parameterized Heuristics.

IEEE transactions on visualization and computer graphics·2025

Related Experiment Video

Updated: Jun 17, 2026

Alignment of Visible-Light Optical Coherence Tomography Fibergrams with Confocal Images of the Same Mouse Retina
07:02

Alignment of Visible-Light Optical Coherence Tomography Fibergrams with Confocal Images of the Same Mouse Retina

Published on: June 30, 2023

Direct visualization of fiber information by coherence.

Mario Hlawitschka1, Christoph Garth, Xavier Tricoche

  • 1Institute for Data Analysis and Visualization, Department of Computer Science, University of California, Davis, CA, USA. hlawitschka@ucdavis.edu

International Journal of Computer Assisted Radiology and Surgery
|December 25, 2009
PubMed
Summary

This study introduces a novel coherence measure for visualizing fiber tracts in diffusion tensor magnetic resonance imaging (DT-MRI). The method enhances segmentation and detailed anatomical structure visualization in medical imaging.

More Related Videos

High-resolution Fiber-optic Microendoscopy for in situ Cellular Imaging
13:49

High-resolution Fiber-optic Microendoscopy for in situ Cellular Imaging

Published on: January 11, 2011

Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo
12:54

Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo

Published on: October 2, 2021

Related Experiment Videos

Last Updated: Jun 17, 2026

Alignment of Visible-Light Optical Coherence Tomography Fibergrams with Confocal Images of the Same Mouse Retina
07:02

Alignment of Visible-Light Optical Coherence Tomography Fibergrams with Confocal Images of the Same Mouse Retina

Published on: June 30, 2023

High-resolution Fiber-optic Microendoscopy for in situ Cellular Imaging
13:49

High-resolution Fiber-optic Microendoscopy for in situ Cellular Imaging

Published on: January 11, 2011

Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo
12:54

Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo

Published on: October 2, 2021

Area of Science:

  • Medical Imaging
  • Neuroscience
  • Biomedical Engineering

Background:

  • Visualizing complex fiber tract structures in diffusion tensor magnetic resonance imaging (DT-MRI) data is a significant challenge.
  • Existing methods often struggle with accurate segmentation and detailed visualization of these intricate pathways.

Purpose of the Study:

  • To develop an improved method for visualizing and analyzing fiber tracts in DT-MRI data.
  • To achieve enhanced visual segmentation of coherent fiber regions using a novel local coherence measure.

Main Methods:

  • Introduced a quantitative coherence measure based on infinitesimal deviations of neighboring fiber tracts.
  • Developed a hardware-accelerated implementation for interactive visualization of coherence information on slices.
  • Integrated the coherence measure with existing visualization techniques to enhance their performance.

Main Results:

  • Successfully visualized myocardial structure in a canine heart dataset.
  • Achieved detailed visualization of major and minor fiber bundles in human brain DT-MRI data.
  • Demonstrated visualization quality comparable to or exceeding established fiber clustering approaches.

Conclusions:

  • The proposed coherence-based approach enables detailed and rapid visualization of critical anatomical structures within DT-MRI datasets.
  • This method significantly improves the segmentation and analysis of fiber tracts, aiding in medical diagnosis and research.