Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Parallel Processing

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...

Methods of Obtaining Topography

Methods of Obtaining Topography

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,...

GIS Software, Hardware, and Sources of GIS Data

GIS Software, Hardware, and Sources of GIS Data

A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...

Levels of Use of a GIS

Levels of Use of a GIS

Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...

Cluster Sampling Method

Cluster Sampling Method

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...

Area Computation by the Alternative Coordinate Method

Area Computation by the Alternative Coordinate Method

The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...

You might also read

Related Articles

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

Sort by

Same author

BioMedGraphica: an all-in-one platform for joint textual biomedical prior knowledge and numeric graph generation.

Bioinformatics (Oxford, England)·2026

Same author

A titin truncating variant linked to atrial fibrillation increases atrial profibrotic signalling and cholinergic sensitivity.

Cardiovascular research·2026

Same author

GWAS meta-analysis of cerebrospinal fluid Alzheimer's biomarkers reveals loci regulating lipids, brain volume and autophagy.

Nature communications·2026

Same author

T-World Virtual Human Cardiomyocyte. II. Organ-Scale Simulations and Applications.

Circulation research·2026

Same author

T-World Virtual Human Cardiomyocyte. I. Development, Validation, and Cell Arrhythmogenesis.

Circulation research·2026

Same author

Corrigendum to "Sex-specific human electromechanical multiscale in-silico models for virtual therapy evaluation" [J Mol Cell Cardiol Plus 13 (2025) 100479].

Journal of molecular and cellular cardiology plus·2026

Search research articles

Related Experiment Video

Updated: Jun 23, 2026

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

Published on: June 13, 2025

CHASTE: incorporating a novel multi-scale spatial and temporal algorithm into a large-scale open source library.

Miguel O Bernabeu¹, Rafel Bordas, Pras Pathmanathan

¹Oxford University Computing Laboratory, University of Oxford, Wolfson Building, Parks Road, Oxford OX1 3QD, UK.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences

|April 22, 2009

Summary

This summary is machine-generated.

The Cancer, Heart and Soft Tissue Environment (CHASTE) software now incorporates a new multi-scale algorithm for enhanced computational efficiency in heart modeling. This advancement significantly improves the speed of solving complex physiological equations.

Related Experiment Videos

Last Updated: Jun 23, 2026

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

Published on: June 13, 2025

Area of Science:

Computational biology
Software engineering
Biophysics

Background:

The Cancer, Heart and Soft Tissue Environment (CHASTE) project has developed an open-source software package for physiological modeling.
Existing CHASTE software includes functionality for heart and cancer modeling, built with rigorous software engineering principles.
Current numerical methods for solving bidomain equations in cardiac electrophysiology can be computationally intensive.

Purpose of the Study:

To describe how new functionality can be incorporated into the CHASTE software package.
To review existing numerical methods for solving bidomain equations and propose enhancements using a multi-scale (MS) algorithm.
To demonstrate the application of the MS algorithm within CHASTE for solving monodomain and bidomain equations in a 3D heart model.

Main Methods:

Review and adapt existing numerical methods for solving bidomain equations to incorporate the MS algorithm.
Implement the MS algorithm within the CHASTE framework.
Apply the enhanced CHASTE framework to solve monodomain and bidomain equations in a realistic 3D heart geometry.

Main Results:

The MS algorithm, applied to bidomain equations, demonstrated a potential for computational efficiency increase exceeding two orders of magnitude in 2D models.
Successful demonstration of the MS algorithm within the CHASTE framework for solving monodomain and bidomain equations in a 3D realistic heart geometry.
The CHASTE framework is shown to be extensible for incorporating new physiological functionalities and algorithms.

Conclusions:

The CHASTE software package provides a robust and extensible platform for physiological modeling.
The integration of the MS algorithm significantly enhances computational efficiency for cardiac electrophysiology simulations.
Future development of CHASTE can include advanced physiological modeling, such as simulating a beating heart and fluid dynamics, and incorporating novel computational algorithms.