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In Vivo Imaging and Quantitation of the Host Angiogenic Response in Zebrafish Tumor Xenografts

In Vivo Imaging and Quantitation of the Host Angiogenic Response in Zebrafish Tumor Xenografts

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Semiautomatic quantification of angiogenesis.

Markus Boettcher¹, Torsten Gloe, Cor de Wit

¹Institut für Physiologie, Universität zu Lübeck, Lübeck, Germany. boettcher@physio.uni-luebeck.de

The Journal of Surgical Research

|April 7, 2009

Summary

A new Java software, AQuaL, enables platform-independent analysis of angiogenic activity. It simplifies image acquisition, alignment, and semiautomatic quantification of cell area and capillary structures, improving research efficiency.

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Area of Science:

Developmental biology
Cancer research

Background:

Angiogenesis is crucial in developmental biology and cancer research.
Current methods require microscopy, image acquisition, and analysis, often facing challenges with image size and reliable quantification.
Existing software often lacks integrated functions, necessitating the use of multiple or expensive programs.

Purpose of the Study:

To develop a user-friendly, platform-independent software for analyzing angiogenic activity.
To address limitations in current methods for quantifying angiogenesis, particularly concerning image processing and data reliability.

Main Methods:

Developed a Java-based software package named AQuaL.
Integrated image acquisition using the Java Media Framework and an image alignment tool for creating composite images.
Implemented semiautomatic quantification methods for cell-overgrown area and capillary-like structure analysis (length, branching pattern).

Main Results:

AQuaL allows platform-independent use and seamless creation of high-resolution composite images.
Semiautomatic quantification of cell area and capillary network morphology provides reliable and correlating data.
Demonstrated efficacy using the aortic ring angiogenesis assay.

Conclusions:

AQuaL offers modular functions specifically designed for angiogenesis quantification.
Area measurement saves time, while length and branching pattern analysis provide qualitative insights into capillary growth.
The software enhances the efficiency and reliability of angiogenesis research.