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

You might also read

Related Articles

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

Sort by
Same author

N<sub>2</sub> exchanges in hyperbaric environments: toward a model based on physiological gas transport (O<sub>2</sub> and CO<sub>2</sub>).

Journal of applied physiology (Bethesda, Md. : 1985)·2024
Same author

IMPatienT: An Integrated Web Application to Digitize, Process and Explore Multimodal PATIENt daTa.

Journal of neuromuscular diseases·2024
Same author

Improving abdominal image segmentation with overcomplete shape priors.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2024
Same author

Spliceator: multi-species splice site prediction using convolutional neural networks.

BMC bioinformatics·2021
Same author

Understanding the causes of errors in eukaryotic protein-coding gene prediction: a case study of primate proteomes.

BMC bioinformatics·2020
Same author

A benchmark study of ab initio gene prediction methods in diverse eukaryotic organisms.

BMC genomics·2020

Related Experiment Video

Updated: Apr 1, 2026

Fibroblast Derived Human Engineered Connective Tissue for Screening Applications
09:50

Fibroblast Derived Human Engineered Connective Tissue for Screening Applications

Published on: August 20, 2021

4.2K

Large Scale Tissue Morphogenesis Simulation on Heterogenous Systems Based on a Flexible Biomechanical Cell Model.

Anne Jeannin-Girardon, Pascal Ballet, Vincent Rodin

    IEEE/ACM Transactions on Computational Biology and Bioinformatics
    |October 10, 2015
    PubMed
    Summary
    This summary is machine-generated.

    We developed a virtual cell model and an OpenCL-based simulator for in silico modeling of complex multicellular tissue development. This approach enhances understanding of biological morphogenesis and cellular behaviors.

    More Related Videos

    2.5D Model for Ex Vivo Mechanical Characterization of Sprouting Angiogenesis in Living Tissue
    10:00

    2.5D Model for Ex Vivo Mechanical Characterization of Sprouting Angiogenesis in Living Tissue

    Published on: February 28, 2025

    944
    Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
    09:32

    Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

    Published on: April 11, 2018

    10.4K

    Related Experiment Videos

    Last Updated: Apr 1, 2026

    Fibroblast Derived Human Engineered Connective Tissue for Screening Applications
    09:50

    Fibroblast Derived Human Engineered Connective Tissue for Screening Applications

    Published on: August 20, 2021

    4.2K
    2.5D Model for Ex Vivo Mechanical Characterization of Sprouting Angiogenesis in Living Tissue
    10:00

    2.5D Model for Ex Vivo Mechanical Characterization of Sprouting Angiogenesis in Living Tissue

    Published on: February 28, 2025

    944
    Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
    09:32

    Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

    Published on: April 11, 2018

    10.4K

    Area of Science:

    • Computational Biology
    • Biophysics
    • Developmental Biology

    Background:

    • Multicellular tissue development (morphogenesis) is complex due to large cell numbers and intricate cell interactions.
    • Understanding these mechanisms requires advanced in silico simulation tools.

    Purpose of the Study:

    • To develop novel computational tools for simulating complex biological tissue morphogenesis.
    • To create a virtual cell model incorporating mechanical structures and cellular behaviors.
    • To enable efficient parallel simulations using the OpenCL framework.

    Main Methods:

    • A virtual cell model was created, including mechanical components (membrane, cytoskeleton, cortex) and behaviors (mitosis, growth, differentiation, molecule dynamics, environmental constraints).
    • An agent-based formalism was coupled with the virtual cell model.
    • An OpenCL-based simulator was developed for efficient parallel processing on heterogeneous hardware (CPUs, GPUs).

    Main Results:

    • The virtual cell model and simulator were validated through two case studies: cell signaling-controlled proliferation and virtual limb growth.
    • The simulation framework successfully replicated complex biological processes.

    Conclusions:

    • The proposed virtual cell model and OpenCL simulator provide a powerful platform for in silico investigation of tissue morphogenesis.
    • This approach facilitates a deeper understanding of the mechanisms underlying multicellular tissue development.