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Sample Preparation for Computed Tomography-based Three-dimensional Visualization of Murine Hind-limb Vessels
Published on: October 7, 2021
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Sample Preparation for Computed Tomography-based Three-dimensional Visualization of Murine Hind-limb Vessels
Daiki Seya1, Yuqing Xu2, Toshifumi Mukunoki3
1Department of Molecular Physiology, National Cerebral and Cardiovascular Center Research Institute.
Journal of Visualized Experiments : Jove
|October 25, 2021
Summary
This study presents a novel 3D computed tomography (CT) method for visualizing and evaluating murine hind-limb vasculature. This technique offers detailed insights into blood vessel morphology for developmental and pathological studies.
Area of Science:
- Vascular Biology
- Medical Imaging
- Developmental Biology
Background:
- Vascular networks are crucial for circulation and organ function.
- Understanding blood vessel formation aids in studying development and disease.
- Current 3D evaluation methods for murine vascular morphology are limited.
Purpose of the Study:
- To introduce a new method for 3D visualization of murine hind-limb vasculature.
- To enable detailed morphological evaluation of blood vessels.
- To provide a technique applicable to abdominal organs as well.
Main Methods:
- Utilized computed tomography (CT) for murine hind-limb visualization.
- Injected radiation-opaque resin through the descending aorta to fill vessels.
- Achieved arterial-specific filling by adjusting dye injection timing.
- Demonstrated applicability with standard micro-X-ray CT devices.
Main Results:
- Successfully visualized entire murine hind-limb vasculature in 3D.
- Developed a contrast method for detailed vascular morphology assessment.
- Showcased the potential for evaluating blood vessels below the diaphragm and in abdominal organs.
Conclusions:
- The introduced CT contrast method is a foundational technique for 3D evaluation of murine lower extremity blood vessels.
- This method enhances the study of physiological and pathological angiogenesis.
- The technique offers broader applications for visualizing and assessing vascular networks throughout the body.
