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Angiogenesis (Tube Formation)

Angiogenesis—the formation and remodeling of new blood vessels—is a critical process in various research fields, including oncology, developmental biology, wound healing, dermatology, vascular disease, hematology, and ophthalmology (Ucuzian and Greisler, 2007). Experimental models using cultured endothelial cells are widely employed to study the effects of agonists on angiogenesis. These models typically involve seeding endothelial cells onto culture dishes coated with adhesive proteins or gels composed of collagen, fibrin, or Matrigel (Vailhé et al., 2001).

The Image-Pro Angiogenesis protocol streamlines the analysis of these models, enabling researchers to process large datasets automatically with minimal image analysis expertise. Powered by a pre-trained deep learning model, it quickly and accurately detects and quantifies blood vessels, saving time and ensuring reproducible results.

Techniques: Brightfield, Fluorescence

How it works

Select Channel

Select the channel that contains vessels.

Find Cells

Use simple sliders to find colonies of progenitor cells.

Find Tubes

Find tubes using either simple sliders or a pre-trained deep learning model.

Quantitative results

Automatically generate tables, heat maps, charts and even complex bespoke reports.

Measurement parameters supported

Solution requirements

Required Modules

Base

2D Automated Analysis

Cell Biology Plus Protocol Collection

Angiogenesis Protocol

AI Deep Learning

Life Science Models

Fluorescent Dendrites Model

Literature spotlight

RELATED APPS

Request a demo to see how it works

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