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Related Concept Videos

Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

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Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
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Related Experiment Video

Updated: Apr 22, 2026

Controlled Synthesis and Fluorescence Tracking of Highly Uniform PolyN-isopropylacrylamide Microgels
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MesoFT: unifying diffusion modelling and fiber tracking.

Marco Reisert, V G Kiselev, Bibek Dihtal

    Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
    |October 17, 2014
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new framework to analyze cellular-scale tissue structure using diffusion MRI (dMRI). It unifies mesoscopic modeling and tractography to improve the interpretation of dMRI data for white matter fibers.

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    Area of Science:

    • Neuroimaging
    • Biophysics
    • Computational Biology

    Background:

    • Clinical magnetic resonance imaging (MRI) faces challenges in quantifying micrometer-scale tissue structure from millimeter-resolution data.
    • Diffusion MRI (dMRI) offers sensitivity to cellular structure, but its interpretation is an ill-posed inverse problem.
    • Understanding white matter fiber organization at a cellular level is crucial for neuroscience and clinical applications.

    Purpose of the Study:

    • To develop a framework for quantifying cellular-scale tissue structure in human white matter using dMRI.
    • To overcome the ill-posed nature of dMRI interpretation by integrating mesoscopic modeling with global fiber tractography.
    • To enable the linking of diffusion parameters to specific structural relationships within white matter fibers.

    Main Methods:

    • A novel framework unifying intra-voxel mesoscopic modeling with global fiber tractography was proposed.
    • A Simulated Annealing approach was employed to simultaneously optimize diffusion parameters and fiber locations.
    • Individual diffusion parameters were assigned to each white matter fiber, allowing for detailed structural analysis.

    Main Results:

    • The proposed framework successfully quantifies tissue structure at the cellular scale from millimeter-resolution MRI.
    • Simultaneous optimization of diffusion parameters and fiber locations resolved the ill-posed inverse problem in dMRI interpretation.
    • Linking individual diffusion parameters to specific fiber structures provided new insights into white matter organization.

    Conclusions:

    • The developed framework offers a robust solution for cellular-scale tissue quantification in human white matter using dMRI.
    • This approach enhances the interpretation of dMRI data, bridging the gap between macroscopic imaging and microscopic tissue properties.
    • The method facilitates a deeper understanding of white matter structural relationships and their impact on diffusion characteristics.