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

Automated cell cycle analysis with fluorescence microscopy and image analysis

W Böcker1, H W Gantenberg, W U Müller

  • 1Institut für Medizinische Strahlenbiologie, Universitätsklinikum Essen, Germany.

Physics in Medicine and Biology
|March 1, 1996
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

[A century of development in radiation biology. Basic principles of targeted and efficient radiotherapy].

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]·2012
Same author

Dual role of heat shock proteins (HSPs) in anti-tumor immunity.

Current molecular medicine·2012
Same author

Chromatin-bound PCNA as S-phase marker in mononuclear blood cells of patients with acute lymphoblastic leukaemia or multiple myeloma.

Cell proliferation·2010
Same author

Toxicity of cadmium sulphate and methylmercuric chloride applied singly or in combination to early mouse embryos in vitro.

Toxicology in vitro : an international journal published in association with BIBRA·2010
Same author

Scope of radiological protection control measures.

Annals of the ICRP·2008
Same author

Relative biological effectiveness of 6 MeV neutrons with respect to cell inactivation and disturbances of the G1 phase.

Radiation research·2008
Same journal

Impact of apertures on the out-of-field secondary neutron dose in collimated proton pencil-beam scanning.

Physics in medicine and biology·2026
Same journal

Quantifying cardiac deformable image registration accuracy and its dosimetric variability for 4D dose accumulation in stereotactic arrhythmia radioablation.

Physics in medicine and biology·2026
Same journal

Probabilistic modelling of bilateral lymphatic spread in oral cavity squamous cell carcinoma for personalised elective nodal treatment.

Physics in medicine and biology·2026
Same journal

A Monte Carlo simulation tool to analyze breast cancer trial outcomes: application to FAST-Forward trial.

Physics in medicine and biology·2026
Same journal

Effective contrast-enhanced preprocessing for intracranial artery segmentation in digital subtraction angiography.

Physics in medicine and biology·2026
Same journal

Improving Plan Quality in Adaptive Proton Therapy Using an Interactive Dose Modification Tool.

Physics in medicine and biology·2026
See all related articles

This study introduces automated cell cycle analysis using image analysis software. The system accurately identifies and measures cells for DNA content, improving upon manual methods for lymphocyte cultures.

Area of Science:

  • Cell Biology
  • Biotechnology
  • Image Analysis

Background:

  • Flow cytometry is standard for cell cycle analysis (DNA histograms).
  • Manual microscopy is used for limited cell samples but is time-consuming.
  • Automated cell finding and measurement are needed for efficiency and accuracy.

Purpose of the Study:

  • To develop an automated system for cell cycle analysis using image analysis.
  • To enable accurate and efficient DNA content measurement from limited cell samples.
  • To automate the time-consuming process of manual cell scoring.

Main Methods:

  • A software program based on image analysis was designed.
  • The system automates cell finding and cell measurement.
  • Interactive DNA data evaluation is performed post-analysis.

Related Experiment Videos

Main Results:

  • The software enables automated cell finding and measurement.
  • The system achieves speed and accuracy comparable to manual scoring.
  • It has been successfully applied to lymphocyte cultures for cell cycle stage determination.
  • The system can differentiate and analyze DNA distributions of various leucocyte types within a single sample.

Conclusions:

  • Automated image analysis provides an efficient alternative to manual cell cycle analysis.
  • The developed system is effective for determining cell cycle stages, especially with limited cell numbers.
  • The software's ability to distinguish cell types by morphology enhances its utility.