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 Experiment Videos

How does flow cytometry express Gaussian distributed biological information?

J V Watson, M J Walport

    Journal of Immunological Methods
    |March 18, 1985
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    You might also read

    Related Articles

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

    Sort by
    Same author

    Executive Summary to the Royal Society report "COVID-19: examining the effectiveness of non-pharmaceutical interventions".

    Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2023
    Same author

    A lupus-susceptibility C57BL/6 locus on chromosome 3 (Sle18) contributes to autoantibody production in 129 mice.

    Genes and immunity·2008
    Same author

    Identification of chromosome intervals from 129 and C57BL/6 mouse strains linked to the development of systemic lupus erythematosus.

    Genes and immunity·2006
    Same author

    Prevention of C5 activation ameliorates spontaneous and experimental glomerulonephritis in factor H-deficient mice.

    Proceedings of the National Academy of Sciences of the United States of America·2006
    Same author

    Overlapping BXSB congenic intervals, in combination with microarray gene expression, reveal novel lupus candidate genes.

    Genes and immunity·2006
    Same author

    Antibody-mediated glomerulonephritis in mice: the role of endotoxin, complement and genetic background.

    Clinical and experimental immunology·2003
    Same journal

    Optimized intracellular flow cytometry panel enables CD4 and CD8 T cell cytokine profiling in Syrian hamsters.

    Journal of immunological methods·2026
    Same journal

    Isosulfan blue sentinel lymph node biopsy enables reliable lymph node harvest and multicolor flow cytometry in mice.

    Journal of immunological methods·2026
    Same journal

    Type-specific antibody detection of herpes simplex virus types 1&2 (HSV-1&2) in fingerstick blood at point-of-care sites by a rapid and sensitive lateral flow immunochromatographic assay.

    Journal of immunological methods·2026
    Same journal

    Development of chimeric DGP-IgG antibodies as quality control for celiac disease diagnosis.

    Journal of immunological methods·2026
    Same journal

    Stepwise single-cell-resolved deep immunophenotyping pipeline to characterise immune heterogeneity and functionality in health and disease.

    Journal of immunological methods·2026
    Same journal

    Performance evaluation of Meso Scale Discovery (MSD) quantitative serological assays for detection of binding (IgG, IgA, IgM) and ACE2 inhibitory antibody levels for SARS-CoV-2.

    Journal of immunological methods·2026
    See all related articles

    Flow cytometry

    Area of Science:

    • Flow cytometry
    • Biophysical analysis
    • Data analysis

    Background:

    • The analogue-to-digital conversion (ADC) in flow cytometry introduces positive skew.
    • This skew can distort the interpretation of measured parameter distributions.
    • Accurate data interpretation is crucial for reliable experimental outcomes.

    Purpose of the Study:

    • To develop a semi-analytical method to assess Gaussian compatibility in ADC-skewed distributions.
    • To correct for errors in coefficient of variation calculations from skewed data.
    • To validate the method with experimental flow cytometry datasets.

    Main Methods:

    • A semi-analytical approach was developed to evaluate distributions.
    • Systematic corrections were applied to account for ADC-induced skewness.

    Related Experiment Videos

  • The coefficient of variation (CV) errors were determined for skewed distributions.

    • Main Results:

    • The method successfully identified distributions compatible with a Gaussian origin, even with significant positive skew.
    • Two out of three tested experimental datasets were compatible with a Gaussian origin.
    • One dataset was determined to be incompatible with a Gaussian origin.

    Conclusions:

    • The developed method reliably distinguishes Gaussian-origin distributions from ADC-skewed data.
    • It allows for accurate assessment of data compatibility with theoretical models.
    • This technique enhances the interpretation of flow cytometry data, particularly concerning parameter distributions.