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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 19, 2026

TIRFM and pH-sensitive GFP-probes to Evaluate Neurotransmitter Vesicle Dynamics in SH-SY5Y Neuroblastoma Cells: Cell Imaging and Data Analysis
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TIRFM and pH-sensitive GFP-probes to Evaluate Neurotransmitter Vesicle Dynamics in SH-SY5Y Neuroblastoma Cells: Cell Imaging and Data Analysis

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Background fluorescence estimation and vesicle segmentation in live cell imaging with conditional random fields.

Thierry Pécot, Patrick Bouthemy, Jérôme Boulanger

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |December 23, 2014
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces C-CRAFT, a novel method for segmenting vesicles and estimating backgrounds in live cell microscopy images. The approach enhances the analysis of subcellular processes and molecular transport dynamics.

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    Super-resolution Imaging of Neuronal Dense-core Vesicles
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    Area of Science:

    • Molecular Biology
    • Cell Biology
    • Biophysics

    Background:

    • Fluorescence live cell microscopy is crucial for studying subcellular processes in space and time.
    • Analyzing moving structures like vesicles requires robust segmentation and background estimation.
    • Existing methods may struggle with dynamic backgrounds and precise vesicle identification.

    Purpose of the Study:

    • To develop an advanced image analysis method for vesicle segmentation and time-varying background estimation in cellular microscopy.
    • To improve the characterization of biological processes at the subcellular level.
    • To enable accurate analysis of 2D + time and 3D + time fluorescence microscopy data.

    Main Methods:

    • Formulation of joint segmentation-estimation problem within a conditional random field framework.
    • Alternative energy minimization using min-cut max-flow algorithm for segmentation and background estimation.
    • Development of a detection measure based on intensity contrasts for image block analysis.

    Main Results:

    • The C-CRAFT method demonstrates superior performance compared to state-of-the-art techniques in fluorescence video-microscopy.
    • Successful characterization of spatial and temporal distribution of Rab6 transport carriers.
    • Effective analysis of vesicle dynamics under different cell adhesion geometries.

    Conclusions:

    • The C-CRAFT approach provides a powerful tool for quantitative analysis in live cell imaging.
    • This method significantly advances the study of molecular transport and cellular dynamics.
    • The framework is adaptable for various 2D+time and 3D+time fluorescence microscopy applications.