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simulations of different cell densities and distributions over an nrc geometry  (COMSOL Inc)

 
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    COMSOL Inc simulations of different cell densities and distributions over an nrc geometry
    Different seeding cell strategies result in varying (a) cell density, (b) VEGF concentration and (c) oxygen concentration profiles along the length of the <t>NRC</t> <t>geometry</t> at different time points. In particular, non-uniform-seeded cell distributions (Sc = 3) result in more pronounced VEGF gradients in the centre of the constructs than uniform distributions (Sc = 1), although this varies over time and according the total number of cells seeded. Simulations suggest that the impact of the initial seeded cell distribution upon the VEGF and viable cell density distributions after 24 h varies according to the total number of cells seeded. Seeding 500 000 cells uniformly (Sc = 1) generates a steeper VEGF concentration gradient after 24 h than seeding more cells in the centre (Sc = 3); whereas the converse is true, when seeding 100 000 cells.
    Simulations Of Different Cell Densities And Distributions Over An Nrc Geometry, supplied by COMSOL Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/simulations+of+different+cell+densities+and+distributions+over+an+nrc+geometry/pmc07115239-335-9-15?v=COMSOL+Inc
    Average 90 stars, based on 1 article reviews
    simulations of different cell densities and distributions over an nrc geometry - by Bioz Stars, 2026-08
    90/100 stars

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    1) Product Images from "Combining in silico and in vitro models to inform cell seeding strategies in tissue engineering"

    Article Title: Combining in silico and in vitro models to inform cell seeding strategies in tissue engineering

    Journal: Journal of the Royal Society Interface

    doi: 10.1098/rsif.2019.0801

    Different seeding cell strategies result in varying (a) cell density, (b) VEGF concentration and (c) oxygen concentration profiles along the length of the NRC geometry at different time points. In particular, non-uniform-seeded cell distributions (Sc = 3) result in more pronounced VEGF gradients in the centre of the constructs than uniform distributions (Sc = 1), although this varies over time and according the total number of cells seeded. Simulations suggest that the impact of the initial seeded cell distribution upon the VEGF and viable cell density distributions after 24 h varies according to the total number of cells seeded. Seeding 500 000 cells uniformly (Sc = 1) generates a steeper VEGF concentration gradient after 24 h than seeding more cells in the centre (Sc = 3); whereas the converse is true, when seeding 100 000 cells.
    Figure Legend Snippet: Different seeding cell strategies result in varying (a) cell density, (b) VEGF concentration and (c) oxygen concentration profiles along the length of the NRC geometry at different time points. In particular, non-uniform-seeded cell distributions (Sc = 3) result in more pronounced VEGF gradients in the centre of the constructs than uniform distributions (Sc = 1), although this varies over time and according the total number of cells seeded. Simulations suggest that the impact of the initial seeded cell distribution upon the VEGF and viable cell density distributions after 24 h varies according to the total number of cells seeded. Seeding 500 000 cells uniformly (Sc = 1) generates a steeper VEGF concentration gradient after 24 h than seeding more cells in the centre (Sc = 3); whereas the converse is true, when seeding 100 000 cells.

    Techniques Used: Concentration Assay, Construct



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    simulations of different cell densities and distributions over an nrc geometry  (COMSOL Inc)
    90
    COMSOL Inc simulations of different cell densities and distributions over an nrc geometry
    Different seeding cell strategies result in varying (a) cell density, (b) VEGF concentration and (c) oxygen concentration profiles along the length of the <t>NRC</t> <t>geometry</t> at different time points. In particular, non-uniform-seeded cell distributions (Sc = 3) result in more pronounced VEGF gradients in the centre of the constructs than uniform distributions (Sc = 1), although this varies over time and according the total number of cells seeded. Simulations suggest that the impact of the initial seeded cell distribution upon the VEGF and viable cell density distributions after 24 h varies according to the total number of cells seeded. Seeding 500 000 cells uniformly (Sc = 1) generates a steeper VEGF concentration gradient after 24 h than seeding more cells in the centre (Sc = 3); whereas the converse is true, when seeding 100 000 cells.
    Simulations Of Different Cell Densities And Distributions Over An Nrc Geometry, supplied by COMSOL Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/simulations+of+different+cell+densities+and+distributions+over+an+nrc+geometry/pmc07115239-335-9-15?v=COMSOL+Inc
    Average 90 stars, based on 1 article reviews
    simulations of different cell densities and distributions over an nrc geometry - by Bioz Stars, 2026-08
    90/100 stars
    		  Buy from Supplier

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    Different seeding cell strategies result in varying (a) cell density, (b) VEGF concentration and (c) oxygen concentration profiles along the length of the NRC geometry at different time points. In particular, non-uniform-seeded cell distributions (Sc = 3) result in more pronounced VEGF gradients in the centre of the constructs than uniform distributions (Sc = 1), although this varies over time and according the total number of cells seeded. Simulations suggest that the impact of the initial seeded cell distribution upon the VEGF and viable cell density distributions after 24 h varies according to the total number of cells seeded. Seeding 500 000 cells uniformly (Sc = 1) generates a steeper VEGF concentration gradient after 24 h than seeding more cells in the centre (Sc = 3); whereas the converse is true, when seeding 100 000 cells.

    Journal: Journal of the Royal Society Interface

    Article Title: Combining in silico and in vitro models to inform cell seeding strategies in tissue engineering

    doi: 10.1098/rsif.2019.0801

    Figure Lengend Snippet: Different seeding cell strategies result in varying (a) cell density, (b) VEGF concentration and (c) oxygen concentration profiles along the length of the NRC geometry at different time points. In particular, non-uniform-seeded cell distributions (Sc = 3) result in more pronounced VEGF gradients in the centre of the constructs than uniform distributions (Sc = 1), although this varies over time and according the total number of cells seeded. Simulations suggest that the impact of the initial seeded cell distribution upon the VEGF and viable cell density distributions after 24 h varies according to the total number of cells seeded. Seeding 500 000 cells uniformly (Sc = 1) generates a steeper VEGF concentration gradient after 24 h than seeding more cells in the centre (Sc = 3); whereas the converse is true, when seeding 100 000 cells.

    Article Snippet: Simulations of different cell densities and distributions over an NRC geometry were also carried using COMSOL M ultiphysics .

    Techniques: Concentration Assay, Construct