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Updated: Jul 10, 2026
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Kinetic Analysis of Vasculogenesis Quantifies Dynamics of Vasculogenesis and Angiogenesis In Vitro
Published on: January 31, 2018
Automated angiogenesis quantification through advanced image processing techniques.
Charlampos N Doukas1, Ilias Maglogiannis, Aristotle Chatziioannou
1Department of Information & Communication Systems Engineeering, University of the Aegean, Samos, Greece. doukas@ieee.org
Summary
This study developed an automated image analysis tool to accurately quantify blood vessel formation in chick embryo models. This method aids in detecting tumor growth by analyzing angiogenic activity in the chorioallantoic membrane.
Area of Science:
- Oncology
- Developmental Biology
- Biomedical Engineering
Background:
- Angiogenesis, the formation of new blood vessels, is crucial for tumor growth by supplying oxygen and nutrients.
- Quantifying angiogenic activity is vital for detecting tumor progression or inhibition.
- The chick embryo chorioallantoic membrane (CAM) is a widely used model for studying angiogenesis.
Purpose of the Study:
- To develop and validate an automated image analysis method for unbiased quantification of micro-vessel density and growth in CAM images.
- To provide an accurate and efficient tool for assessing angiogenic potential in tumor research.
- To enable reliable detection of tumor growth using angiogenic markers.
Main Methods:
- Development of an automated image analysis algorithm for micro-vessel quantification.
- Validation of the automated method by comparing its results with manual counting of blood vessels.
- Application of the validated tool to analyze angiogenic CAM images from chick embryos at various developmental stages.
Main Results:
- The automated image analysis method demonstrated high accuracy in quantifying micro-vessel density.
- Automated results showed strong correlation with manual counts, confirming the tool's reliability.
- The developed tool was successfully applied for detecting tumor growth in chick embryos.
Conclusions:
- An automated image analysis method for unbiased quantification of angiogenesis in CAM models has been successfully developed and validated.
- This tool offers a highly accurate and efficient approach for assessing tumor-related angiogenic activity.
- The method facilitates the detection of tumor growth across different embryonic developmental stages.
