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

Diffusion01:12

Diffusion

187.0K
Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
187.0K
Passive Diffusion: Overview and Kinetics01:17

Passive Diffusion: Overview and Kinetics

358
Passive diffusion is a critical process that allows small lipophilic drugs to cross the cell membrane along a concentration gradient. This mechanism's efficiency depends on four primary factors: the membrane's surface area, the drug's lipid-water partition coefficient, the concentration gradient, and the membrane's thickness.
When administered orally, drugs establish a substantial concentration gradient between the gastrointestinal (GI) lumen and the bloodstream, expediting...
358
Convolution Properties II01:17

Convolution Properties II

163
The important convolution properties include width, area, differentiation, and integration properties.
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
The area property asserts that the area under the...
163
Divergence and Stokes' Theorems01:06

Divergence and Stokes' Theorems

1.5K
The divergence and Stokes' theorems are a variation of Green's theorem in a higher dimension. They are also a generalization of the fundamental theorem of calculus. The divergence theorem and Stokes' theorem are in a way similar to each other; The divergence theorem relates to the dot product of a vector, while Stokes' theorem relates to the curl of a vector. Many applications in physics and engineering make use of the divergence and Stokes' theorems, enabling us to write...
1.5K
Interference and Diffraction02:18

Interference and Diffraction

31.0K
Interference is a characteristic phenomenon exhibited by waves. When two electromagnetic waves interact with their peaks and troughs coinciding, a resulting wave with enhanced amplitude is produced. This is known as constructive interference. In this case, the two waves interacting are in phase with each other.
31.0K
Convolution: Math, Graphics, and Discrete Signals01:24

Convolution: Math, Graphics, and Discrete Signals

222
In any LTI (Linear Time-Invariant) system, the convolution of two signals is denoted using a convolution operator, assuming all initial conditions are zero. The convolution integral can be divided into two parts: the zero-input or natural response and the zero-state or forced response, with t0 indicating the initial time.
To simplify the convolution integral, it is assumed that both the input signal and impulse response are zero for negative time values. The graphical convolution process...
222

You might also read

Related Articles

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

Sort by
Same author

Bioorthogonal release-mediated targeted degradation of tripartite motif containing 24 protein for atherosclerosis therapy.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same author

Loneliness trajectories in early adolescents during the COVID-19 pandemic: The predictive role of perceived social support.

Journal of child and adolescent mental health·2026
Same author

Stage-specific ultrasound during pH-shifting modulated the structural and functional properties of sunflower seed protein.

Ultrasonics sonochemistry·2026
Same author

Starch Properties Modulate Gluten-Free Steamed Bread Texture via Regulating Structural Evolution During Fermentation.

Journal of texture studies·2026
Same author

Effects of ultrasonic pretreatment on the fibrillation of soy protein isolate, β‑conglycinin, and glycinin: Kinetics, structure, and functional properties.

Ultrasonics sonochemistry·2026
Same author

A biomimetic nanoplatform boosting efferocytosis via dual-pathway regulation for atherosclerosis therapy and imaging.

Biomaterials·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: May 24, 2025

Localizing Protein in 3D Neural Stem Cell Culture: a Hybrid Visualization Methodology
21:47

Localizing Protein in 3D Neural Stem Cell Culture: a Hybrid Visualization Methodology

Published on: December 19, 2010

12.7K

Real-Time Neural Homogeneous Translucent Material Rendering Using Diffusion Blocks.

Di An, Liangfu Kang, Kun Xu

    IEEE Transactions on Visualization and Computer Graphics
    |March 6, 2025
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel neural method for real-time rendering of translucent materials by mimicking light diffusion with a diffusion block. The approach achieves superior rendering quality for homogeneous translucent objects under dynamic conditions.

    More Related Videos

    Agarose-based Tissue Mimicking Optical Phantoms for Diffuse Reflectance Spectroscopy
    09:25

    Agarose-based Tissue Mimicking Optical Phantoms for Diffuse Reflectance Spectroscopy

    Published on: August 22, 2018

    12.4K
    Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies
    07:12

    Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies

    Published on: November 19, 2020

    2.1K

    Related Experiment Videos

    Last Updated: May 24, 2025

    Localizing Protein in 3D Neural Stem Cell Culture: a Hybrid Visualization Methodology
    21:47

    Localizing Protein in 3D Neural Stem Cell Culture: a Hybrid Visualization Methodology

    Published on: December 19, 2010

    12.7K
    Agarose-based Tissue Mimicking Optical Phantoms for Diffuse Reflectance Spectroscopy
    09:25

    Agarose-based Tissue Mimicking Optical Phantoms for Diffuse Reflectance Spectroscopy

    Published on: August 22, 2018

    12.4K
    Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies
    07:12

    Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies

    Published on: November 19, 2020

    2.1K

    Area of Science:

    • Computer Graphics
    • Computational Imaging
    • Material Rendering

    Background:

    • Rendering homogeneous translucent materials like milk and marble is challenging due to complex subsurface light scattering.
    • Existing methods struggle to balance realism and real-time performance for these materials.

    Purpose of the Study:

    • To develop a neural method for efficient, real-time rendering of homogeneous translucent objects.
    • To accurately simulate subsurface scattering effects using a diffusion-inspired approach.

    Main Methods:

    • Proposed a neural data structure called a diffusion block, inspired by diffusion processes in highly scattered media.
    • Adapted the DiffusionNet architecture to create a lightweight network for translucent rendering.
    • Implemented the method to support dynamic material properties and varied lighting conditions.

    Main Results:

    • Achieved real-time rendering performance for homogeneous translucent objects.
    • Demonstrated superior rendering quality compared to state-of-the-art real-time translucent rendering techniques.
    • Validated the method's effectiveness under dynamic material properties and diverse lighting.

    Conclusions:

    • The proposed neural diffusion block method offers an efficient and high-quality solution for real-time translucent rendering.
    • This approach effectively captures the complex light transport phenomena in translucent materials.
    • The method shows significant advancements in realistic material appearance generation for computer graphics.