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

Transfer function and Bode Plots-II01:23

Transfer function and Bode Plots-II

394
In the standard form, the transfer function is shown in constant gain, poles/zeros at origin, simple poles/zeros, and quadratic poles/zeros; each contributing uniquely to the system's overall response. The term represents the magnitude of the simple zero:
394
Transfer function and Bode Plots-I01:19

Transfer function and Bode Plots-I

398
A transfer function presented in its standard form integrates elements' constant gain, the zeros, and poles at the origin, simple zeros and poles, and quadratic poles and zeros. The transfer function can be written as H(ω):
398
Transfer Function in Control Systems01:21

Transfer Function in Control Systems

631
The transfer function is a fundamental concept in the analysis and design of linear time-invariant (LTI) systems. It offers a concise way to understand how a system responds to different inputs in the frequency domain. It serves as a bridge between the time-domain differential equations that describe system dynamics and the frequency-domain representation that facilitates easier manipulation and analysis.
To derive the transfer function, consider a general nth-order linear time-invariant...
631
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

201
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
201
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

134
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
134
Control Volume and System Representations01:16

Control Volume and System Representations

1.2K
Two key frameworks are employed to analyze mass, energy, and momentum transfer: the control volume approach and the system approach. These frameworks offer different perspectives, depending on whether the focus is on a specific region in space (control volume approach) or a defined mass of fluid (system approach).
The control volume approach considers a stationary region in space through which fluid flows. This region is bounded by a control surface.  For instance, in the case of water...
1.2K

You might also read

Related Articles

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

Sort by
Same author

Reflections on Visualizing the COVID-19 Pandemic for the Public.

IEEE computer graphics and applications·2026
Same author

From clamp to care: evidence-based insights to cord management in non-vigorous neonates.

Journal of perinatal medicine·2026
Same author

Publisher Correction: Theory-driven design of high-valence metal sites for water oxidation confirmed using in situ soft X-ray absorption.

Nature chemistry·2026
Same author

Chitosan-based hybrid composites for emerging organic micropollutants removal from wastewater: Recent advancement, mechanism, up-scaling, and challenges.

International journal of biological macromolecules·2026
Same author

Geoenvironmental characterization and speciation-driven risk assessment of gold mining tailings.

Environmental monitoring and assessment·2026
Same author

Screening Medical Students for Depression Risk: The Effects of Disability Status.

Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry·2026
Same journal

Two-phase Impulse Fluid on Particle Flow Map.

IEEE transactions on visualization and computer graphics·2026
Same journal

FGO-SLAM++: Real-time Geometry-Aware Gaussian SLAM with Continuous Opacity Field.

IEEE transactions on visualization and computer graphics·2026
Same journal

Blue Noise Dithering for Reservoir-based Spatio-temporal Importance Resampling.

IEEE transactions on visualization and computer graphics·2026
Same journal

ROS-GS: Relightable Outdoor Scenes With Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
See all related articles

Related Experiment Video

Updated: Aug 3, 2025

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
12:08

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

24.6K

RadVolViz: An Information Display-Inspired Transfer Function Editor for Multivariate Volume Visualization.

Ayush Kumar, Xinyu Zhang, Huolin L Xin

    IEEE Transactions on Visualization and Computer Graphics
    |April 8, 2023
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new visualization method for multi-channel volume data, enabling interactive exploration of complex scientific datasets. The technique enhances the understanding of spatial and property distributions in multivariate volumetric data.

    More Related Videos

    Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
    11:38

    Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

    Published on: August 23, 2017

    9.9K
    Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation
    12:59

    Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

    Published on: February 28, 2021

    3.8K

    Related Experiment Videos

    Last Updated: Aug 3, 2025

    From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
    12:08

    From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

    Published on: August 13, 2014

    24.6K
    Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
    11:38

    Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

    Published on: August 23, 2017

    9.9K
    Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation
    12:59

    Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

    Published on: February 28, 2021

    3.8K

    Area of Science:

    • Scientific Visualization
    • Computer Graphics
    • Data Analysis

    Background:

    • Transfer functions map voxel properties to color/opacity in volume visualization.
    • Existing methods are limited to scalar or three-channel vector data.
    • Multivariate data (e.g., spectral bands, chemical elements) require advanced visualization techniques.

    Purpose of the Study:

    • To develop a novel method for visualizing and interactively exploring volume data with more than three channels.
    • To extend the fusion of multivariate information displays (RadViz) and radial color maps to blended volume rendering.
    • To enable users to isolate and emphasize volumetric structures based on desired multivariate properties.

    Main Methods:

    • Fusing RadViz with a radial color map for blended volume rendering of multivariate data.
    • Designing interactive operators and lenses to control mapping of multivariate voxels to opacity and color.
    • Applying the method to datasets from spectral electron microscopy, X-ray scanning, and atmospheric science.

    Main Results:

    • The developed method effectively visualizes both the presence/value distribution and spatial distribution of multivariate voxels.
    • Interactive control allows users to isolate or emphasize specific volumetric structures.
    • The approach provides insightful visualizations even for standard RGB data.

    Conclusions:

    • The proposed method offers a powerful tool for analyzing complex, multi-channel scientific volume data.
    • It enhances understanding of multivariate volumetric structures through interactive exploration.
    • This technique has broad applicability across various scientific scanning applications.