Jove
Visualize
Contact Us

Related Experiment Videos

A new model for biological pattern formation.

P Meakin

    Journal of Theoretical Biology
    |January 7, 1986
    PubMed
    Summary
    This summary is machine-generated.

    Non-equilibrium growth models reveal fractal patterns in biological systems. This review explores these models and their connections to diverse phenomena, advancing our understanding of biological morphology development.

    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

    Coalescence kinetics in surfactant stabilized emulsions: evolution equations from direct numerical simulations.

    The Journal of chemical physics·2012
    Same author

    Two-dimensional lattice Boltzmann simulation of colloid migration in rough-walled narrow flow channels.

    Physical review. E, Statistical, nonlinear, and soft matter physics·2008
    Same author

    Fracture patterns generated by diffusion controlled volume changing reactions.

    Physical review letters·2006
    Same author

    Energy dissipation measures in three-dimensional disordered porous media.

    Physical review. E, Statistical, nonlinear, and soft matter physics·2005
    Same author

    Application of stereolithographic custom models for studying the impact of biofilms and mineral precipitation on fluid flow.

    Applied and environmental microbiology·2005
    Same author

    Dynamics of water coning.

    Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics·2002
    Same journal

    The male-biased sex ratio in humans and its role in the transition from promiscuity to pair bonding.

    Journal of theoretical biology·2026
    Same journal

    Quantifying the counter-intuitive effects of vaccination by coupling the transmission dynamics of COVID-19 and the evolution of human behaviors.

    Journal of theoretical biology·2026
    Same journal

    An integrative model of FGF2-induced signaling and muscle cell proliferation.

    Journal of theoretical biology·2026
    Same journal

    A hybrid reaction-diffusion and mechanical stimulus model for mandibular bone remodeling under chewing and vibratory loading.

    Journal of theoretical biology·2026
    Same journal

    Integrated tick management strategies in fragmented peridomestic environments.

    Journal of theoretical biology·2026
    Same journal

    Joint likelihood-free inference of the number of selected single nucleotide polymorphisms and their selection coefficients in an evolving population.

    Journal of theoretical biology·2026
    See all related articles
    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

    Area of Science:

    • Biological systems
    • Complex systems science
    • Morphogenesis

    Background:

    • Non-equilibrium growth models are crucial for understanding biological morphology.
    • Fractal structures are observed in various biological formations.
    • Existing models offer insights into developmental processes.

    Purpose of the Study:

    • To review a specific class of biological growth models.
    • To highlight models exhibiting fractal structures.
    • To discuss the broader implications and connections of these models.

    Main Methods:

    • Literature review of non-equilibrium growth models.
    • Analysis of models demonstrating fractal characteristics.
    • Comparative discussion of model relationships to other phenomena.

    Related Experiment Videos

    Main Results:

    • Identification of key non-equilibrium growth models producing fractal patterns.
    • Demonstration of the link between these models and biological morphology.
    • Exploration of connections to diverse scientific phenomena.

    Conclusions:

    • Non-equilibrium growth models provide a powerful framework for studying biological complexity.
    • Fractal geometry is a fundamental aspect of biological development.
    • These models offer a unified perspective on various biological and physical phenomena.