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Updated: Feb 18, 2026

Contrast Enhanced Vessel Imaging using MicroCT
Published on: January 27, 2011
Cutting-edge microangio-CT: new dimensions in vascular imaging and kidney morphometry
Ruslan Hlushchuk1, Cédric Zubler1, Sébastien Barré1
1Institute of Anatomy, University of Bern , Bern , Switzerland.
A new micro-CT imaging method using μAngiofil enables rapid kidney vasculature and glomeruli assessment. This technique accurately quantifies glomeruli number, revealing 40% fewer in GDNF+/- male mice compared to controls.
Area of Science:
- Nephrology
- Medical Imaging
- Biomedical Engineering
Background:
- Contrast-enhanced micro-computed tomography (micro-CT) is crucial for whole-animal kidney imaging.
- Previous methods were limited to visualizing middle-sized vessels.
- Modern micro-CT scanners offer high detail resolution for advanced imaging.
Purpose of the Study:
- To develop a rapid and consistent method for assessing kidney vasculature and glomeruli number using micro-CT.
- To introduce a novel polymerizing contrast agent, μAngiofil, for complete vascular filling.
- To enable correlative imaging approaches for detailed kidney morphology analysis.
Main Methods:
- Utilized micro-angio-CT (µaCT) with μAngiofil on glial cell line-derived neurotrophic factor (GDNF)+/- mice and wild-type littermates.
- Employed a new polymerizing contrast agent for homogenous X-ray absorption and continuous vascular filling.
- Compared results with histology-based stereology for validation and artifact assessment.
Main Results:
- The µaCT approach provided significantly faster results than traditional histology-based stereology.
- Both methods confirmed approximately 40% fewer glomeruli in GDNF+/- male mice.
- The μAngiofil contrast agent facilitates correlative morphology by remaining in vessels and being autofluorescent.
Conclusions:
- The developed µaCT method is a time-efficient, reliable, and quantitative technique for kidney morphometry.
- This approach enables accurate glomerular morphometry and analysis of kidney vasculature.
- It facilitates correlative morphology studies by enabling precise matching of histological sections with µaCT data.
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