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

Drug Distribution: Volume of Distribution01:25

Drug Distribution: Volume of Distribution

The volume of distribution refers to the theoretical volume necessary to contain the entire amount of an administered drug at the same concentration observed in the blood plasma. The body's intracellular fluid compartment, which makes up two-thirds of the total body water, is contrasted with the extracellular fluid compartment—comprising plasma and interstitial fluid—that accounts for one-third. The volume of distribution can vary depending on the characteristics of the drug.
Volume of Distribution01:20

Volume of Distribution

The apparent volume of distribution (Vd) is a crucial pharmacokinetic parameter representing the hypothetical body fluid volume into which a drug disperses. It is calculated based on the total amount of drug in the body (estimated from the administered dose and bioavailability) divided by the plasma drug concentration. The total amount of drug in the body does not directly refer to the dose given but is derived by accounting for absorption, distribution, metabolism, and excretion processes.
Boxplot01:12

Boxplot

Box plots (also called box-and-whisker plots or box-whisker plots) give an excellent graphical image of the concentration of the data. They also show how far the extreme values are from most data. A box plot is constructed from five values: the minimum value, the first quartile, the median, the third quartile, and the maximum value. We use these values to compare how close other data values are to them. To construct a box plot, use a horizontal or vertical number line and a rectangular box. The...
pV-Diagrams01:18

pV-Diagrams

The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...
Distribution and Dispersion00:54

Distribution and Dispersion

Ecology is the study of how organisms interact with their environment and with one another. An important aspect of ecology is understanding where species are found and how individuals are distributed within those areas. The geographic range of a species refers to the total area where its members are located, while dispersion describes the pattern of spacing of individuals within that range.Geographic Range and Dispersion PatternsWithin a species’ geographic range, individuals may be distributed...
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...

You might also read

Related Articles

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

Sort by
Same author

Identification of sequence variants in genetic disease-causing genes using targeted next-generation sequencing.

PloS one·2012
Same author

Inhibition of matrine against gastric cancer cell line MNK45 growth and its anti-tumor mechanism.

Molecular biology reports·2011
Same author

Evolution of activation patterns during long-duration ventricular fibrillation in pigs.

American journal of physiology. Heart and circulatory physiology·2011
Same author

A new feruloyl amide derivative from the fruits of Tribulus terrestris.

Natural product research·2011
Same author

High-amylose rice improves indices of animal health in normal and diabetic rats.

Plant biotechnology journal·2011
Same author

The cross-validated AUC for MCP-logistic regression with high-dimensional data.

Statistical methods in medical research·2011
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: Jun 21, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

Distribution-driven visualization of volume data.

C Ryan Johnson1, Jian Huang

  • 1Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN 37996, USA. cjohnson@cs.utk.edu

IEEE Transactions on Visualization and Computer Graphics
|July 11, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a novel visualization method analyzing local frequency distributions in spatial data. This approach enables quantitative feature detection and interactive querying for previously inaccessible data patterns.

More Related Videos

Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore
06:01

Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore

Published on: December 12, 2019

Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature
11:49

Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature

Published on: April 5, 2013

Related Experiment Videos

Last Updated: Jun 21, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore
06:01

Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore

Published on: December 12, 2019

Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature
11:49

Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature

Published on: April 5, 2013

Area of Science:

  • Scientific Visualization
  • Data Analysis
  • Computer Graphics

Background:

  • Traditional visualization maps data properties to color/opacity.
  • Existing methods have limitations in detecting complex features.

Purpose of the Study:

  • To develop a new method for feature detection and display in visualization.
  • To leverage local frequency distributions for quantitative analysis.
  • To enable interactive, predicate-based querying of spatial data.

Main Methods:

  • Explicitly studying local frequency distributions of intensity values in voxel neighborhoods.
  • Developing a query framework for predicate-based hypotheses on local distributions.
  • Creating a graphical user interface for interactive query formulation and testing.

Main Results:

  • Frequency distributions contain meaningful, quantitative information for feature queries.
  • The approach allows visualization of how neighborhoods match user-defined predicates.
  • New quantitative features were identified in familiar datasets, enhancing understanding.

Conclusions:

  • The proposed method offers a novel way to query and visualize spatial data.
  • It expands feature detection capabilities beyond traditional tools.
  • The interactive framework is applicable to diverse, including time-variant and multifield, datasets.