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

Plotting of Topographic Maps01:29

Plotting of Topographic Maps

182
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,...
182
Methods of Obtaining Topography01:25

Methods of Obtaining Topography

155
Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
155
Vesicular Tubular Clusters01:45

Vesicular Tubular Clusters

2.7K
After budding out from the ER membrane, some COPII vesicles lose their coat and fuse with one another to form larger vesicles and interconnected tubules called vesicular tubular clusters or VTCs. These clusters constitute a compartment at the ER-Golgi interface known as ERGIC (Endoplasmic Reticulum Golgi Intermediate Compartment). The ERGIC is a mobile membrane-bound cargo transport system that sorts proteins secreted from ER and delivers them to the Golgi.
With the help of motor proteins such...
2.7K
Cluster Sampling Method01:20

Cluster Sampling Method

13.1K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
13.1K
Topographic Surveying and Contours01:29

Topographic Surveying and Contours

372
Topographic surveying is critical for documenting the Earth's surface, focusing on capturing elevations, slopes, and natural and man-made features. It is essential in construction planning, water resource management, and land-use analysis. The primary outcome of such surveys is a topographic map, which uses contour lines to visually represent the shape and slope of the terrain, providing valuable insights into the landscape's characteristics.Contour lines are fundamental to understanding the...
372
Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

15.4K
Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
15.4K

You might also read

Related Articles

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

Sort by
Same author

LFCT: A Benchmark Dataset for Low-Frame-Rate Cell Tracking in Long-Term Live-Cell Microscopy.

bioRxiv : the preprint server for biology·2026
Same author

GALE: Leveraging Heterogeneous Systems for Efficient Unstructured Mesh Data Analysis.

IEEE transactions on visualization and computer graphics·2025
Same author

Crack-MsCGA: A Deep Learning Network with Multi-Scale Attention for Pavement Crack Detection.

Sensors (Basel, Switzerland)·2025
Same author

A Task-Parallel Approach for Localized Topological Data Structures.

IEEE transactions on visualization and computer graphics·2023
Same author

Locus coeruleus and dorsal cingulate morphology contributions to slowed processing speed.

Neuropsychologia·2022
Same author

Relating individual cell division events to single-cell ERK and Akt activity time courses.

Scientific reports·2022
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: Oct 16, 2025

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

8.6K

TopoCluster: A Localized Data Structure for Topology-Based Visualization.

Guoxi Liu, Federico Iuricich, Riccardo Fellegara

    IEEE Transactions on Visualization and Computer Graphics
    |October 21, 2021
    PubMed
    Summary
    This summary is machine-generated.

    TopoCluster simplifies processing unstructured data using tetrahedral meshes. This localized data structure efficiently computes mesh connectivity with significantly reduced memory usage.

    More Related Videos

    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

    11.6K
    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
    12:27

    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

    Published on: February 15, 2017

    7.1K

    Related Experiment Videos

    Last Updated: Oct 16, 2025

    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

    8.6K
    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

    11.6K
    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
    12:27

    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

    Published on: February 15, 2017

    7.1K

    Area of Science:

    • Computer Graphics
    • Scientific Visualization
    • Computational Geometry

    Background:

    • Unstructured data, often represented by simplicial meshes, pose computational challenges in visualization compared to regular grids.
    • Existing methods for handling simplicial meshes are computationally demanding and memory-intensive.
    • Simplifying the encoding and processing of these complex data structures is crucial for efficient visualization.

    Purpose of the Study:

    • To introduce TopoCluster, a novel localized data structure for tetrahedral meshes.
    • To enable efficient computation of mesh element connectivity.
    • To significantly reduce the memory footprint associated with simplicial mesh processing.

    Main Methods:

    • The proposed TopoCluster data structure subdivides simplicial meshes into localized clusters.
    • Connectivity information is computed locally within each cluster and discarded when no longer required.
    • Two instances of TopoCluster are defined, balancing time efficiency and memory reduction.

    Main Results:

    • TopoCluster provides efficient computation of mesh connectivity with a low memory footprint.
    • One instance offers modest memory savings with high time efficiency.
    • The second instance drastically reduces memory consumption, up to an order of magnitude.

    Conclusions:

    • TopoCluster effectively simplifies the encoding and processing of tetrahedral meshes.
    • The data structure integrates seamlessly with existing frameworks like the Topological Toolkit (TTK).
    • Users can leverage TopoCluster within TTK without code modifications, enhancing usability and performance.