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

[Statistical and regression analysis in interpreting computerized morphometric results].

Irina-Draga Căruntu1

  • 1Disciplina de Histologie, Facultatea de Medicină Stomatologică, Universitatea de Medicină şi Farmacie Gr.T. Popa Iaşi.

Revista Medico-Chirurgicala a Societatii De Medici Si Naturalisti Din Iasi
|February 6, 2004
PubMed
Summary

This study develops a statistical framework for analyzing computerized morphometry data from dental pulp fibroblasts. It applies regression analysis to cell size, offering a method applicable to various microscopic investigations.

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

Histological Features of Kidney Allograft Biopsies According to Metabolic Acidosis Status: A Biopsy-Based Single-Center Observational Study.

Life (Basel, Switzerland)·2026
Same author

Prognostic value of a composite histologic score in glomerular diseases: a 10-year single center cohort study.

BMC nephrology·2026
Same author

Hydatidiform Moles: The Contribution of Ancillary Techniques in Refining Their Histopathological Diagnosis.

International journal of molecular sciences·2026
Same author

Multifaced roles of cannabinoid therapy in cancer: balancing analgesia, antitumor potential, and systemic toxicity.

Frontiers in pharmacology·2025
Same author

Evaluation of long-term safety profile of an EU-GMP certified <i>Cannabis sativa</i> L. strain in a naturally aging preclinical model.

Frontiers in pharmacology·2025
Same author

Biopsy-proven glomerular diseases: a systematic review of global kidney biopsy registries.

Journal of nephrology·2025

Area of Science:

  • Biostatistics
  • Quantitative Morphology
  • Cell Biology

Context:

  • Computerized morphometry provides quantitative data from microscopic specimens.
  • Accurate statistical analysis is crucial for interpreting morphometric results.
  • Dental pulp fibroblasts serve as the model system for this investigation.

Purpose:

  • To construct a statistical framework for interpreting computerized morphometry data.
  • To perform regression analysis on quantitative features of dental pulp fibroblasts.
  • To evaluate the role of clustering in cell area evaluation and characterize these areas using statistical indices.

Summary:

  • This study details a statistical framework for analyzing computerized morphometry data, focusing on dental pulp fibroblasts.

Related Experiment Videos

  • Measurements of fibroblast area and perimeter were used to create statistical series.
  • Key aspects include clustering's role in area evaluation, statistical characterization of areas, and perimeter-area regression analysis.

    • Impact:

    • The developed statistical and regression analysis methods are adaptable to diverse morphometric studies.
    • This framework enhances the interpretation of quantitative data from microscopic examinations.
    • The methodology supports rigorous scientific investigation through robust statistical modeling.