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

A computer image analysis system for microvessel density measurement in solid tumours.

Jonathan Charles Goddard1, Christopher Derek Sutton, Peter N Furness

  • 1Department of Urology, University Hospitals of Leicester NHS Trust, Leicester, UK. jonathan@jcgoddard.freeserve.co.uk

Angiogenesis
|January 29, 2003
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

TIGOS Trial: A Randomized, Double-Blind, Phase III Trial of Atigotatug and Nivolumab Fixed-Dose Combination With Chemotherapy Versus Atezolizumab With Chemotherapy as First-Line Therapy in Patients With Extensive-Stage Small Cell Lung Cancer.

Clinical lung cancer·2026
Same author

First-Line Nivolumab Plus Ipilimumab in Advanced NSCLC: 4-Year Outcomes From the Randomized, Open-Label, Phase 3 CheckMate 227 Part 1 Trial.

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer·2021
Same author

First-Line Nivolumab Plus Ipilimumab Versus Chemotherapy in Advanced NSCLC With 1% or Greater Tumor PD-L1 Expression: Patient-Reported Outcomes From CheckMate 227 Part 1.

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer·2021
Same author

First-Line Nivolumab Plus Ipilimumab in Advanced Non-Small-Cell Lung Cancer (CheckMate 568): Outcomes by Programmed Death Ligand 1 and Tumor Mutational Burden as Biomarkers.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology·2019
Same author

Intravesical hyaluronic acid and chondroitin sulfate for recurrent urinary tract infections: systematic review and meta-analysis.

International urogynecology journal·2017
Same author

Biomarkers assessing warm ischemic injury using an isolated porcine kidney hemoreperfusion model.

Experimental biology and medicine (Maywood, N.J.)·2013
Same journal

Endothelial Notch1 drives multicellular remodelling during hyaloid vessel regression.

Angiogenesis·2026
Same journal

Tumour endothelial cell reprogramming orchestrates angiocrine signalling to drive chemoresistance in breast cancer.

Angiogenesis·2026
Same journal

miR-150 controls developmental angiogenesis via ribosome biogenesis-dependent regulation of Notch signaling.

Angiogenesis·2026
Same journal

MCC links Wnt/PCP signaling to endothelial polarity and vascular remodeling.

Angiogenesis·2026
Same journal

Endothelial AGO1 deficiency reduces breast cancer burden in mice.

Angiogenesis·2026
Same journal

Soluble CD146 reflects altered endothelial and metabolic homeostasis in peripheral artery disease.

Angiogenesis·2026
See all related articles

This study presents an automated image analysis system for measuring microvessel density (MVD), a key indicator of angiogenesis. The cost-effective system enhances speed and reliability for researchers studying tumour growth and vascularization.

Area of Science:

  • Pathology
  • Oncology
  • Biomedical Engineering

Background:

  • Microvessel density (MVD) is a crucial surrogate marker for angiogenesis, essential for understanding tumor growth and progression.
  • Current MVD measurement methods can be time-consuming and prone to variability.
  • Automated techniques offer potential for increased speed, reliability, and reproducibility in MVD assessment.

Purpose of the Study:

  • To introduce a novel, cost-effective image analysis system for automated microvessel density (MVD) measurement.
  • To demonstrate the system's applicability across different tumor types with minimal calibration.
  • To facilitate wider adoption of automated MVD analysis in angiogenesis research.

Main Methods:

  • Development of an image analysis system for automated counting of microvessels.

Related Experiment Videos

  • Validation of the system using pathological specimens and tumor models.
  • Assessment of system performance across various tumor types and staining protocols.

    • Main Results:

    • The developed system enables rapid and reproducible MVD measurement.
    • Minimal calibration is required for the system to translate effectively between different tumor types.
    • The system is designed for use in standard pathology departments with existing equipment.

    Conclusions:

    • The automated image analysis system provides an accessible and reliable method for MVD quantification.
    • This technique can significantly improve the efficiency and consistency of angiogenesis research.
    • The system's ease of use and adaptability make it a valuable tool for a broad range of researchers.