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comsol livelink  (COMSOL Inc)

 
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    COMSOL Inc comsol livelink
    Comsol Livelink, 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/livelink/livelink/pm39760966-99-9-9
    Average 90 stars, based on 1 article reviews
    comsol livelink - by Bioz Stars, 2026-11
    90/100 stars

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    Related Articles

    Generated:

    Article Title: System to detect dielectric changes in matter
    Article Snippet: .. A total of 666 head models can be generated in simulation using COMSOL Livelink, enabling scripting within the Matlab (Mathworks, Natick, Massachusetts USA) environment. ..

    other:

    Article Title: Machine learning models based on FEM simulation of hoop mode vibrations to enable ultrasonic cuffless measurement of blood pressure.
    Article Snippet: Blood pressure (BP) is one of the vital physiological parameters, and its measurement is done routinely for almost all patients who visit hospitals.. Cuffless BP measurement has been of great research interest over the last few years.. In this paper, we aim to establish a method for cuffless measurement of BP using ultrasound.

    Article Title: ML‐Augmented Bayesian Optimization of Pain Induced by Microneedles
    Article Snippet: 3) Implementing COMSOL simulations LiveLink with MATLAB codes interface.

    Article Title: ML‐Augmented Bayesian Optimization of Pain Induced by Microneedles
    Article Snippet: By directly calling the COMSOL model from MATLAB and Adv.

    Article Title: Oscillatory responses of a spatially random seabed in the vicinity of structures: Validation and application of the integrated CFD-SFEM
    Article Snippet: A comprehensive examination of the wave-induced oscillatory response of seabeds around structures is of great significance for ensuring the safe operation of marine engineering projects and enhancing the efficiency of marine resource development.. Soil properties in nature exhibit spatial variability due to various geological processes, which should be considered in seabed stability analysis.. An integrated CFD-SFEM is proposed for spatially heterogeneous seabeds, incorporating multi-physical solvers for nonlinear wave motion and poroelastic seabed response within a unified framework through a one-way coupling procedure.



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    Overview of experiments and modeling of pericellular oxygen in HT 96-well plates. A. The experimental system and the experimental conditions are shown. In-incubator-operated optical imaging system included a camera, a lens, LED ring, and bellows extension to accommodate a glass-bottom 96-well plate. The ratiometric optical readout was calibrated in values of pericellular oxygen concentration over time. The experimental conditions included two cell types - adult cardiac fibroblasts, cFBs, and human iPSC-CMs, three cell densities, and four different culture medium volumes. B. Confirmation of cell growth on the optical oxygen sensors was done using a two-photon upright microscope with a water-immersion lens. Images of hiPSC-CMs on top of the sensor are shown at two different magnifications (25× and 40×). Color encodes depth in the lower magnification image, in which cells are labeled with Hoechst for nuclei and with ChR2-eYFP to highlight the membrane. The higher magnification image shows cytoskeleton (α-actinin) and nuclei (Hoechst); scale bar for the zoomed in version is 50 μm. C. The computational modeling framework is a combination of 3D physics-based simulations of reaction-diffusion in the wells of a HT plate and optimization algorithms to derive empirically-based models of pericellular dynamics in human cFBs and iPSC-CMs, grown in glass-bottom 96-well plates, for a variety of cases. Simulations and data processing were done in Matlab, <t>LiveLink</t> and Comsol.
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    Overview of experiments and modeling of pericellular oxygen in HT 96-well plates. A. The experimental system and the experimental conditions are shown. In-incubator-operated optical imaging system included a camera, a lens, LED ring, and bellows extension to accommodate a glass-bottom 96-well plate. The ratiometric optical readout was calibrated in values of pericellular oxygen concentration over time. The experimental conditions included two cell types - adult cardiac fibroblasts, cFBs, and human iPSC-CMs, three cell densities, and four different culture medium volumes. B. Confirmation of cell growth on the optical oxygen sensors was done using a two-photon upright microscope with a water-immersion lens. Images of hiPSC-CMs on top of the sensor are shown at two different magnifications (25× and 40×). Color encodes depth in the lower magnification image, in which cells are labeled with Hoechst for nuclei and with ChR2-eYFP to highlight the membrane. The higher magnification image shows cytoskeleton (α-actinin) and nuclei (Hoechst); scale bar for the zoomed in version is 50 μm. C. The computational modeling framework is a combination of 3D physics-based simulations of reaction-diffusion in the wells of a HT plate and optimization algorithms to derive empirically-based models of pericellular dynamics in human cFBs and iPSC-CMs, grown in glass-bottom 96-well plates, for a variety of cases. Simulations and data processing were done in Matlab, LiveLink and Comsol.

    Journal: Journal of Molecular and Cellular Cardiology Plus

    Article Title: Pericellular oxygen dynamics in human cardiac fibroblasts and iPSC-cardiomyocytes in high-throughput plates: insights from experiments and modeling ☆

    doi: 10.1016/j.jmccpl.2025.100464

    Figure Lengend Snippet: Overview of experiments and modeling of pericellular oxygen in HT 96-well plates. A. The experimental system and the experimental conditions are shown. In-incubator-operated optical imaging system included a camera, a lens, LED ring, and bellows extension to accommodate a glass-bottom 96-well plate. The ratiometric optical readout was calibrated in values of pericellular oxygen concentration over time. The experimental conditions included two cell types - adult cardiac fibroblasts, cFBs, and human iPSC-CMs, three cell densities, and four different culture medium volumes. B. Confirmation of cell growth on the optical oxygen sensors was done using a two-photon upright microscope with a water-immersion lens. Images of hiPSC-CMs on top of the sensor are shown at two different magnifications (25× and 40×). Color encodes depth in the lower magnification image, in which cells are labeled with Hoechst for nuclei and with ChR2-eYFP to highlight the membrane. The higher magnification image shows cytoskeleton (α-actinin) and nuclei (Hoechst); scale bar for the zoomed in version is 50 μm. C. The computational modeling framework is a combination of 3D physics-based simulations of reaction-diffusion in the wells of a HT plate and optimization algorithms to derive empirically-based models of pericellular dynamics in human cFBs and iPSC-CMs, grown in glass-bottom 96-well plates, for a variety of cases. Simulations and data processing were done in Matlab, LiveLink and Comsol.

    Article Snippet: The use of LiveLink allows for the workflow shown in C. This feature allows for the scripting of COMSOL with MATLAB and automates the preprocessing and postprocessing steps required for parameter estimation and curve fitting.

    Techniques: Optical Imaging, Concentration Assay, Microscopy, Labeling, Membrane, Diffusion-based Assay