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

Visualization of multidimensional spectra in flow cytometry.

M Stöhr, G Futterman

    The Journal of Histochemistry and Cytochemistry : Official Journal of the Histochemistry Society
    |January 1, 1979
    PubMed
    Summary

    This study details advanced processing of flow cytometry data, enabling visualization of complex cellular events. New methods allow for enhanced data analysis and clear representation of multiparametric flow data sets.

    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

    Temporal dissipative solitons in the Morris-Lecar model with time-delayed feedback.

    Chaos (Woodbury, N.Y.)·2023
    Same author

    Erratum: "DFTB+, a software package for efficient approximate density functional theory based atomistic simulations" [J. Chem. Phys. 152, 124101 (2020)].

    The Journal of chemical physics·2022
    Same author

    DFTB+, a software package for efficient approximate density functional theory based atomistic simulations.

    The Journal of chemical physics·2020
    Same author

    Bias-induced conformational switching of supramolecular networks of trimesic acid at the solid-liquid interface.

    The Journal of chemical physics·2018
    Same author

    From hydrogen bonding to metal coordination and back: Porphyrin-based networks on Ag(111).

    The Journal of chemical physics·2015
    Same author

    Ab initio phase diagram of oxygen adsorption on W(110).

    Journal of physics. Condensed matter : an Institute of Physics journal·2011

    Area of Science:

    • Biotechnology
    • Computational Biology
    • Data Science

    Background:

    • Traditional flow cytometry data processing relies on hardwired circuits.
    • Storing and analyzing high-dimensional flow cytometry data presents significant challenges.

    Purpose of the Study:

    • To develop and implement advanced computational methods for processing and visualizing complex flow cytometry data.
    • To enhance the analysis of multiparametric cellular events.

    Main Methods:

    • Utilized hardwired circuits for initial data processing, including amplification, discrimination, and analog-to-digital conversion.
    • Implemented computerized pulse height analysis for storing two-dimensional spectra.
    • Employed on-line recording of three- and four-parametric cellular events on tape for subsequent analysis.
    • Developed data reduction techniques using multidimensional probability analysis for transfer to a computerized picture system.
    • Integrated a computerized picture system for creating perspective two-dimensional images from three-dimensional data spaces, converting frequency to grey levels and utilizing color for enhanced visualization.

    Main Results:

    • Successfully stored and processed two-dimensional spectra directly in memory, on tape, and disk.
    • Enabled on-line recording and recall of three- and four-parametric cellular events.
    • Facilitated simple processing for displaying two-dimensional projections from multidimensional data.
    • Demonstrated sophisticated data analysis through interfacing with large-scale computers.
    • Created a visualization system that transforms complex data into interpretable color images, simplifying the understanding of multiparametric flow data.

    Conclusions:

    • The developed system significantly enhances the processing and visualization capabilities for multiparametric flow cytometry data.
    • Advanced computational and visualization techniques provide a more intuitive and comprehensive understanding of cellular events.
    • This approach offers a powerful tool for researchers in various biological and medical fields.

    Related Experiment Videos