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

An interactive multivariate analysis of FCM data.

Y Kosugi1, R Sato, S Genka

  • 1Tokyo Institute of Technology, Japan.

Cytometry
|July 1, 1988
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

Differentiation of the radiation-induced necrosis and tumor recurrence after gamma knife radiosurgery for brain metastases: importance of multi-voxel proton MRS.

Minimally invasive neurosurgery : MIN·2005
Same author

Simple biodosimetry method for use in cases of high-dose radiation exposure that scores the chromosome number of Giemsa-stained drug-induced prematurely condensed chromosomes (PCC).

International journal of radiation biology·2005
Same author

Chromosomal aberrations in normal human cells induced by the auger effect via Ca atoms.

International journal of radiation biology·2005
Same author

A new concept of three-dimensional endoscope for endoscopic surgery.

Surgical endoscopy·2004
Same author

C-erbB-2 or mutant Ha-ras induced malignant transformation of immortalized human ovarian surface epithelial cells in vitro.

British journal of cancer·2003
Same author

Propofol anesthesia during rhabdomyolysis.

Journal of anesthesia·2003

This study presents an interactive multivariate analysis for flow cytometry (FCM) data. The method successfully separates degenerated cell clusters by compressing four-dimensional data into two dimensions.

Area of Science:

  • Biomedical data analysis
  • Computational biology
  • Flow cytometry (FCM) data analysis

Background:

  • Flow cytometry generates high-dimensional data, often leading to overlapping or degenerated cell clusters in standard scatterplots.
  • Effective visualization and separation of these clusters are crucial for accurate cell population identification.

Purpose of the Study:

  • To describe a novel interactive multivariate analysis procedure for flow cytometry data.
  • To demonstrate the procedure's effectiveness in data compression and cluster separation, particularly for degenerated clusters.

Main Methods:

  • Utilized principal-components analysis and cluster analysis within an interactive framework.
  • Implemented data compression from a four-dimensional space to a two-dimensional representation.

Related Experiment Videos

  • Developed software primarily in C language for MS-DOS operating systems.

    • Main Results:

    • Successfully compressed four-dimensional FCM data into a two-dimensional space.
    • Achieved effective separation of degenerated clusters, outperforming conventional scattergram methods.
    • Validated the procedure through four-dimensional analysis of blood cell data, confirming successful cluster separation.

    Conclusions:

    • The interactive multivariate analysis procedure offers a powerful tool for FCM data interpretation.
    • This method enhances the ability to resolve complex and overlapping cell populations.
    • The technique is particularly valuable for identifying subtle differences in cell populations that are obscured in standard analyses.