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

Improved program for the analysis of DNA histograms.

M G Ormerod1, A W Payne, J V Watson

  • 1Institute of Cancer Research, Haddow Laboratories, Sutton, Surrey, England.

Cytometry
|November 1, 1987
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

Enzyme-antienzyme method for immunohistochemistry.

Methods in molecular biology (Clifton, N.J.)·2012
Same author

Cell preparation for flow cytometry.

Methods in molecular biology (Clifton, N.J.)·2012
Same author

Flow cytometric analysis of cells using an antibody to a surface antigen.

Methods in molecular biology (Clifton, N.J.)·2012
Same author

Multiple immunofluorescence analysis of cells using flow cytometry.

Methods in molecular biology (Clifton, N.J.)·2012
Same author

Enzyme-antienzyme method for immunohistochemistry.

Methods in molecular biology (Clifton, N.J.)·2012
Same author

Cell preparation for flow cytometry.

Methods in molecular biology (Clifton, N.J.)·2012
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 a fast, automated computer program for analyzing DNA histograms, improving efficiency in cell cycle analysis. The software provides robust and accurate results, even with complex data, aiding researchers in biological studies.

Area of Science:

  • Computational Biology
  • Cell Biology
  • Biotechnology

Background:

  • DNA histograms are crucial for cell cycle analysis.
  • Manual analysis of DNA histograms can be time-consuming and subjective.
  • Existing methods may struggle with complex or perturbed histograms.

Purpose of the Study:

  • To develop and validate an automated computer program for rapid DNA histogram analysis.
  • To provide a robust and efficient tool for researchers dealing with cell cycle data.
  • To improve the accuracy and speed of DNA histogram interpretation.

Main Methods:

  • A computer program was developed using a modified algorithm from Watson et al.
  • The program is coded in Pascal and implemented on multiple systems.

Related Experiment Videos

  • Validation involved simulated and experimental data, including bromodeoxyuridine-labeled cells.

    • Main Results:

    • The program rapidly analyzes DNA histograms with minimal operator intervention.
    • It demonstrates robustness and speed in processing both simulated and experimental data.
    • The software provides a reasonable approximation of experimental results, especially for perturbed histograms.

    Conclusions:

    • The developed program offers a fast, automated, and reliable solution for DNA histogram analysis.
    • It is particularly beneficial for handling complex or noisy biological data.
    • The tool enhances research efficiency in cell cycle and related studies.