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

Equipotential Surfaces and Field Lines01:29

Equipotential Surfaces and Field Lines

Electric potential can be pictorially represented as a three-dimensional surface. On such a surface, the electric potential is constant everywhere. The equipotential surface is always perpendicular to the electric field lines, and while it is three-dimensional, it can be treated as an equipotential line in a two-dimensional case. These equipotential lines are also always perpendicular to electric field lines. The term equipotential is often used as a noun, referring to an equipotential line or...
Residual Plots01:07

Residual Plots

A residual plot is a statistical representation of data used to analyze correlation and regression results. It helps verify the requirements for drawing specific conclusions about correlation and regression. To obtain the residual plot, first, the residual for each data value is calculated, which is simply the vertical distance between the observed and the predicted value obtained from the regression equation.
When the residual values are plotted against the variable x, it is called a residual...
Surface Tension and Surface Energy01:16

Surface Tension and Surface Energy

When a paint brush is immersed in water, the bristles wave freely inside the water. When it is taken out, the bristles stick together. The reason behind this effect is surface tension.
Consider a beaker filled with liquid. The bulk molecules in the liquid experience equal attractive forces on all sides with the surrounding molecules. However, the surface molecules experience a net attractive force downward due to the bulk molecules. The surface of the liquid behaves like a stretched membrane,...
Surface Tension01:24

Surface Tension

Surface tension is defined as the force per unit length (γ) acting along the surface of a liquid. It arises due to strong intermolecular forces of attraction. A molecule located inside the bulk of the liquid is surrounded by other molecules and experiences equal forces in all directions. However, a molecule at the surface experiences unbalanced forces because there are more neighboring molecules below than above. This creates a net inward force that pulls surface molecules toward the interior,...
Scatter Plot01:15

Scatter Plot

The most common and easiest way to display the relationship between two variables, x and y, is a scatter plot. A scatter plot shows the direction of a relationship between the variables. A clear direction happens when there is either:
Plotting of Topographic Maps01:29

Plotting of Topographic Maps

Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...

You might also read

Related Articles

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

Sort by
Same author

Deep learning for early detection of guava fruit anthracnose and fruit fly infestation.

BMC plant biology·2026
Same author

An intelligent transformer based framework for bilingual financial complaint classification.

Scientific reports·2026
Same author

Brief Report: Multi-Institution Real-World Analysis Evaluating Safety, Efficacy, and ctDNA Dynamics After Tarlatamab in Patients With Previously Treated SCLC and LCNEC.

JTO clinical and research reports·2026
Same author

British Society of Gastroenterology guidelines on colorectal surveillance in inflammatory bowel disease.

Gut·2025
Same author

Update from 2010 (standard operating procedure): protocol for the 2024 British Society of Gastroenterology Guidelines on colorectal surveillance in inflammatory bowel disease.

BMJ open gastroenterology·2024
Same author

Adipocytes Promote Endometrial Cancer Progression Through Activation of the SIRT1-HMMR Signaling Axis.

Molecular carcinogenesis·2024
Same journal

AVA: Automated Viewability Analysis for Ureteroscopic Intrarenal Surgery.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Kidney Endoscopy Video to Preoperative CT Alignment for Depth Estimation.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Deep learning‑based cell type prediction in lung tissue from brightfield histology using CODEX-derived labels.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Reconstructing physiological signals from fMRI across the adult lifespan.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Axially Swept Light-Sheet Microscopy using scattering and fluorescence contrast mechanisms.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Analytic Bounds on GAMLSS Model Variability of Normative White Matter Brain Charts.

Proceedings of SPIE--the International Society for Optical Engineering·2026
See all related articles

Related Experiment Video

Updated: May 12, 2026

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

Comparative Visualization of Ensembles Using Ensemble Surface Slicing.

Oluwafemi S Alabi1, Xunlei Wu, Jonathan M Harter

  • 1UNC-Chapel Hill, Chapel Hill, NC.

Proceedings of Spie--The International Society for Optical Engineering
|April 6, 2013
PubMed
Summary
This summary is machine-generated.

Researchers face challenges in comparing complex 3D shapes from simulations. Ensemble Surface Slicing (ESS) offers a novel visualization technique to simultaneously identify similarities and differences in these datasets.

Keywords:
Ensemble visualizationcomparative visualizationisosurfaceuncertainty visualization

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

Visualizing Surface T-Cell Receptor Dynamics Four-Dimensionally Using Lattice Light-Sheet Microscopy
09:24

Visualizing Surface T-Cell Receptor Dynamics Four-Dimensionally Using Lattice Light-Sheet Microscopy

Published on: January 30, 2020

Related Experiment Videos

Last Updated: May 12, 2026

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

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

Visualizing Surface T-Cell Receptor Dynamics Four-Dimensionally Using Lattice Light-Sheet Microscopy
09:24

Visualizing Surface T-Cell Receptor Dynamics Four-Dimensionally Using Lattice Light-Sheet Microscopy

Published on: January 30, 2020

Area of Science:

  • Physical Sciences
  • Computational Geometry
  • Data Visualization

Background:

  • Ensembles, sets of surfaces/volumes from simulations/experiments, are crucial for parameter sensitivity analysis.
  • Identifying visual similarities and differences among ensemble members is a significant challenge in spatial understanding.
  • Simultaneously comparing multiple complex geometric datasets spatially remains difficult.

Purpose of the Study:

  • To propose a novel comparison and visualization technique for studying parameter sensitivity.
  • To address the challenge of visually analyzing similarities and differences in ensemble datasets.
  • To introduce a method that supports the visual study of parameter sensitivity.

Main Methods:

  • Development of a novel single-image view and sampling technique named Ensemble Surface Slicing (ESS).
  • ESS is designed to facilitate the simultaneous determination of differences and similarities between surfaces.
  • The technique was demonstrated using two real-world datasets.

Main Results:

  • Ensemble Surface Slicing (ESS) provides a single image for effective comparison of ensemble members.
  • The method aids in identifying both similarities and differences across multiple complex geometric datasets.
  • Demonstrated utility of ESS on practical, real-world scientific data.

Conclusions:

  • Ensemble Surface Slicing (ESS) is a valuable technique for the visual study of parameter sensitivity.
  • ESS enhances the ability to gain spatial understanding and compare complex geometric data.
  • The proposed method offers a practical solution for analyzing ensemble datasets in the physical sciences.