Jove
Visualize
Contact Us
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

Related Concept Videos

Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

2.8K
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...
2.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Enhanced electrochemical detection of erythromycin based on acetylene black nanoparticles.

Colloids and surfaces. B, Biointerfaces·2010
Same author

Highly efficient visible light plasmonic photocatalyst Ag@Ag(Br,I).

Chemistry (Weinheim an der Bergstrasse, Germany)·2010
Same author

Enhancement of catalytic performance in asymmetric transfer hydrogenation by microenvironment engineering of the nanocage.

Chemical communications (Cambridge, England)·2010
Same author

Pharmacology of a potent and selective inhibitor of PDE4 for inhaled administration.

European journal of pharmacology·2010
Same author

Gypenosides protects dopaminergic neurons in primary culture against MPP(+)-induced oxidative injury.

Brain research bulletin·2010
Same author

[Pathogen identification of Pinellia ternata tuber disease and selection of fungicide].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica·2010

Related Experiment Video

Updated: Apr 12, 2026

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging
08:40

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging

Published on: April 8, 2016

13.6K

Automatic quantitative analysis and localisation of protein expression with GDF.

Shuliang Wang, Ying Li, Wenchen Tu

    International Journal of Data Mining and Bioinformatics
    |May 8, 2015
    PubMed
    Summary

    This study introduces the generalised data field (GDF) for objective protein expression analysis in tissues. GDF accurately identifies protein regions and eliminates background noise, improving upon subjective methods.

    More Related Videos

    Using Near-infrared Fluorescence and High-resolution Scanning to Measure Protein Expression in the Rodent Brain
    06:04

    Using Near-infrared Fluorescence and High-resolution Scanning to Measure Protein Expression in the Rodent Brain

    Published on: May 23, 2019

    6.2K
    Quantitative Localization of a Golgi Protein by Imaging Its Center of Fluorescence Mass
    13:08

    Quantitative Localization of a Golgi Protein by Imaging Its Center of Fluorescence Mass

    Published on: August 10, 2017

    11.5K

    Related Experiment Videos

    Last Updated: Apr 12, 2026

    Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging
    08:40

    Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging

    Published on: April 8, 2016

    13.6K
    Using Near-infrared Fluorescence and High-resolution Scanning to Measure Protein Expression in the Rodent Brain
    06:04

    Using Near-infrared Fluorescence and High-resolution Scanning to Measure Protein Expression in the Rodent Brain

    Published on: May 23, 2019

    6.2K
    Quantitative Localization of a Golgi Protein by Imaging Its Center of Fluorescence Mass
    13:08

    Quantitative Localization of a Golgi Protein by Imaging Its Center of Fluorescence Mass

    Published on: August 10, 2017

    11.5K

    Area of Science:

    • Biomedical Imaging
    • Computational Biology
    • Proteomics

    Background:

    • Protein expression analysis in normal vs. cancerous tissues often relies on subjective, semi-automatic image analysis.
    • Existing methods are vulnerable to user bias, limiting accurate quantification and localization.

    Purpose of the Study:

    • To develop an objective method for discovering and localizing protein expression regions using image analysis.
    • To improve the accuracy and reproducibility of protein expression detection in tissue samples.

    Main Methods:

    • Proposed the generalised data field (GDF) method for protein expression region discovery.
    • Utilized pixel clustering based on potential distribution to represent varying protein expression levels.
    • Incorporated cell nucleus shape measurement for precise protein localization.
    • Merged clusters into two groups based on expert or user-defined criteria.

    Main Results:

    • The GDF method successfully identified and localized protein expression regions with objectivity.
    • Experimental results demonstrated superior performance compared to K-Means (KM) and Expectation-Maximization (EM) algorithms.
    • GDF effectively eliminated background noise, enhancing the clarity of protein expression signals.

    Conclusions:

    • The generalised data field (GDF) offers an objective and efficient approach for protein expression analysis in biomedical images.
    • GDF improves the localization accuracy of protein expression by referencing cell nuclei.
    • This method provides a robust alternative to subjective semi-automatic analysis, enhancing diagnostic potential.