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

Optimal Foraging00:48

Optimal Foraging

14.0K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
14.0K
Noncompartmental Analysis: Mean Residence Time01:05

Noncompartmental Analysis: Mean Residence Time

619
According to statistical moment theory, mean residence time (MRT) is an important measure in pharmacokinetics. MRT can be defined as the expected mean of a probability density function distribution. It provides valuable insights into drug disposition in the body.
After the administration of a drug through intravenous bolus injection, the drug molecules are distributed throughout the body and remain there for varying periods. The MRT represents the average time these drug molecules stay in the...
619
Optimization Problems01:26

Optimization Problems

80
Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
80
Noncompartmental Analysis: Mean Transit, Absorption and Dissolution Time01:02

Noncompartmental Analysis: Mean Transit, Absorption and Dissolution Time

396
When drugs are administered extravascularly, a comprehensive evaluation through noncompartmental analysis becomes imperative. This analytical approach considers various parameters that play a crucial role in understanding the pharmacokinetics of these drugs.
One of the key parameters is the mean transit time (MTT), which refers to the total duration required for drug molecules to transit through the body. MTT is determined by calculating the ratio of the area under the moment curve to the area...
396
In-situ Hybridization02:31

In-situ Hybridization

10.6K
In situ hybridization (ISH) is a technique used to detect and localize specific DNA or RNA molecules in cells, tissue, or tissue sections using a labeled probe. The technique was first used in 1969 for the investigation of nucleic acids. It is currently an essential tool in scientific research and clinical settings, especially for diagnostic purposes.
Types of probes and labels
A probe is a complementary strand of DNA or RNA that binds to corresponding nucleotide sequences in a cell. Many...
10.6K
Pedigree Analysis01:35

Pedigree Analysis

89.8K
Overview
89.8K

You might also read

Related Articles

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

Sort by
Same author

MolSieve: A Progressive Visual Analytics System for Molecular Dynamics Simulations.

IEEE transactions on visualization and computer graphics·2023
Same author

Technology Trends and Challenges for Large-Scale Scientific Visualization.

IEEE computer graphics and applications·2022
Same author

Multivariate Pointwise Information-Driven Data Sampling and Visualization.

Entropy (Basel, Switzerland)·2020
Same author

Probabilistic Data-Driven Sampling via Multi-Criteria Importance Analysis.

IEEE transactions on visualization and computer graphics·2020
Same author

Cinema:Bandit: a visualization application for beamline science demonstrated on XFEL shock physics experiments.

Journal of synchrotron radiation·2019
Same author

Drag and Track: A Direct Manipulation Interface for Contextualizing Data Instances within a Continuous Parameter Space.

IEEE transactions on visualization and computer graphics·2018
Same journal

Graph Pattern Matching based reassembly - 3DGPM.

IEEE computer graphics and applications·2026
Same journal

Making Learning Visible: Turning Public Engagement into Evidence for Academic Learning.

IEEE computer graphics and applications·2026
Same journal

LlymX: Multimodal LLM-Augmented XR for Context-Aware Information Access.

IEEE computer graphics and applications·2026
Same journal

Dynamic Gaussian-Based Digital Twin Reconstruction of Articulated Multi-Joint Objects.

IEEE computer graphics and applications·2026
Same journal

Steiner and Poisson Traversal Initializations: Initial Curve Optimization for Geometric Flow-based Surface Filling.

IEEE computer graphics and applications·2026
Same journal

Insight Into the Insight Toolkit.

IEEE computer graphics and applications·2026
See all related articles

Related Experiment Video

Updated: Feb 13, 2026

Visualization and Analysis of mRNA Molecules Using Fluorescence In Situ Hybridization in Saccharomyces cerevisiae
07:00

Visualization and Analysis of mRNA Molecules Using Fluorescence In Situ Hybridization in Saccharomyces cerevisiae

Published on: June 14, 2013

35.6K

Optimizing Scientist Time through In Situ Visualization and Analysis.

John Patchett, James Ahrens

    IEEE Computer Graphics and Applications
    |March 15, 2018
    PubMed
    Summary
    This summary is machine-generated.

    In situ processing creates smaller data representations during simulations. This approach addresses the challenges of supercomputing storage limitations for effective data analysis and visualization.

    More Related Videos

    Visualization of Microbiota in Tick Guts by Whole-mount In Situ Hybridization
    08:30

    Visualization of Microbiota in Tick Guts by Whole-mount In Situ Hybridization

    Published on: June 1, 2018

    10.0K
    Optimized Setup and Protocol for Magnetic Domain Imaging with In Situ Hysteresis Measurement
    09:43

    Optimized Setup and Protocol for Magnetic Domain Imaging with In Situ Hysteresis Measurement

    Published on: November 7, 2017

    9.9K

    Related Experiment Videos

    Last Updated: Feb 13, 2026

    Visualization and Analysis of mRNA Molecules Using Fluorescence In Situ Hybridization in Saccharomyces cerevisiae
    07:00

    Visualization and Analysis of mRNA Molecules Using Fluorescence In Situ Hybridization in Saccharomyces cerevisiae

    Published on: June 14, 2013

    35.6K
    Visualization of Microbiota in Tick Guts by Whole-mount In Situ Hybridization
    08:30

    Visualization of Microbiota in Tick Guts by Whole-mount In Situ Hybridization

    Published on: June 1, 2018

    10.0K
    Optimized Setup and Protocol for Magnetic Domain Imaging with In Situ Hysteresis Measurement
    09:43

    Optimized Setup and Protocol for Magnetic Domain Imaging with In Situ Hysteresis Measurement

    Published on: November 7, 2017

    9.9K

    Area of Science:

    • Computational Science
    • Data Science
    • High-Performance Computing

    Background:

    • Supercomputing environments generate massive datasets.
    • Limited storage capacity hinders effective data analysis and visualization.
    • In situ processing offers a solution to manage large simulation outputs.

    Purpose of the Study:

    • To introduce and explain the concept of in situ processing.
    • To highlight the necessity of in situ processing in modern simulations.
    • To discuss the relationship between supercomputer resources and data storage.

    Main Methods:

    • In situ processing techniques are applied during simulation runtime.
    • Persistent representations of simulation states are generated.
    • Data reduction strategies are employed to minimize storage requirements.

    Main Results:

    • Reduced size persistent representations of simulation states are achieved.
    • Enables effective data analysis and visualization even with limited storage.
    • Addresses the bottleneck of data storage in large-scale simulations.

    Conclusions:

    • In situ processing is crucial for managing large-scale simulation data.
    • It provides a viable method for data analysis and visualization in resource-constrained environments.
    • Optimizes the use of supercomputing resources by reducing data storage needs.