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

A count-dependent filter for smoothing flow cytometric histograms.

W H Schuette, S E Shackney, M A MacCollum

    Cytometry
    |September 1, 1984
    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

    Polymorphisms in drug-metabolizing enzymes as modifiers of cancer risk.

    Clinical chemistry·1995
    Same author

    CD30-mediated signaling promotes the development of human T helper type 2-like T cells.

    The Journal of experimental medicine·1995
    Same author

    Objective measurement of the benefit of walking sticks in peripheral vestibular balance disorders, using the Sway Weigh balance platform.

    The Journal of laryngology and otology·1995
    Same author

    Arthritis and perceptions of quality of life: an examination of positive and negative affect in rheumatoid arthritis patients.

    Health psychology : official journal of the Division of Health Psychology, American Psychological Association·1995
    Same author

    Diastolic time: an important determinant of regional arterial blood flow.

    The American journal of physiology·1995
    Same author

    Are we vaccinating too much?

    Journal of the American Veterinary Medical Association·1995
    Same journal

    Measurement of the distribution of red blood cell deformability using an automated rheoscope.

    Cytometry·2002
    Same journal

    Flow cytometric-based isolation of nucleated erythroid cells during maturation: an approach to cell surface antigen studies.

    Cytometry·2002
    Same journal

    Flow cytometric immunophenotyping test for staging/monitoring neuroblastoma patients.

    Cytometry·2002
    Same journal

    Determination of bronchoalveolar lavage leukocyte populations by flow cytometry in patients investigated for respiratory disease.

    Cytometry·2002
    Same journal

    Multicenter clinical experience with flow cytometric method for fetomaternal hemorrhage detection.

    Cytometry·2002
    Same journal

    Separation of live cells in different phases of the cell cycle for gene expression analysis.

    Cytometry·2002
    See all related articles

    This study introduces an adaptive algorithm for smoothing statistically limited histograms, improving accuracy by accounting for measurement system limitations and data reliability. The method enhances flow cytometric histogram analysis, particularly for DNA histograms with varying sample sizes.

    Area of Science:

    • Biomedical Engineering
    • Computational Biology
    • Data Science

    Background:

    • Statistical limitations in histograms reduce data accuracy.
    • Measurement system characteristics, like point spread function (PSF), affect histogram quality.
    • Flow cytometry data often requires robust smoothing techniques.

    Purpose of the Study:

    • To develop an adaptive count-dependent algorithm for smoothing statistically limited histograms.
    • To incorporate both spatial frequency limitations and data reliability into the smoothing process.
    • To improve the accuracy of flow cytometric histogram analysis.

    Main Methods:

    • Developed an adaptive algorithm considering measurement system PSF and effective counts per histogram channel.
    • Derived smoothing windows from Gaussian-shaped PSF, scaling variances inversely with data reliability (square root of counts).

    Related Experiment Videos

  • Generated smoothed histograms via a linear sum of scaled Gaussian functions and original data.

    • Main Results:

    • Demonstrated advantages of count-dependent smoothing over non-count-dependent methods.
    • Validated the algorithm using synthesized DNA histograms.
    • Showcased improved histogram accuracy as a function of sample size.

    Conclusions:

    • The adaptive count-dependent algorithm effectively smooths statistically limited histograms.
    • This method enhances the reliability of flow cytometric data analysis.
    • The algorithm offers significant improvements, especially for small sample sizes.