Title |
High-Resolution X-Ray Techniques as New Tool to Investigate the 3D Vascularization of Engineered-Bone Tissue
|
---|---|
Published in |
Frontiers in Bioengineering and Biotechnology, September 2015
|
DOI | 10.3389/fbioe.2015.00133 |
Pubmed ID | |
Authors |
Inna Bukreeva, Michela Fratini, Gaetano Campi, Daniele Pelliccia, Raffaele Spanò, Giuliana Tromba, Francesco Brun, Manfred Burghammer, Marco Grilli, Ranieri Cancedda, Alessia Cedola, Maddalena Mastrogiacomo |
Abstract |
The understanding of structure-function relationships in normal and pathologic mammalian tissues is at the basis of a tissue engineering (TE) approach for the development of biological substitutes to restore or improve tissue function. In this framework, it is interesting to investigate engineered bone tissue, formed when porous ceramic constructs are loaded with bone marrow stromal cells (BMSC) and implanted in vivo. To monitor the relation between bone formation and vascularization, it is important to achieve a detailed imaging and a quantitative description of the complete three-dimensional vascular network in such constructs. Here, we used synchrotron X-ray phase-contrast micro-tomography to visualize and analyze the three-dimensional micro-vascular networks in bone-engineered constructs, in an ectopic bone formation mouse-model. We compared samples seeded and not seeded with BMSC, as well as samples differently stained or unstained. Thanks to the high quality of the images, we investigated the 3D distribution of both vessels and collagen matrix and we obtained quantitative information for all different samples. We propose our approach as a tool for quantitative studies of angiogenesis in TE and for any pre-clinical investigation where a quantitative analysis of the vascular network is required. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 29% |
Student > Ph. D. Student | 6 | 25% |
Student > Postgraduate | 2 | 8% |
Student > Master | 2 | 8% |
Professor > Associate Professor | 2 | 8% |
Other | 2 | 8% |
Unknown | 3 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 4 | 17% |
Computer Science | 3 | 13% |
Engineering | 2 | 8% |
Medicine and Dentistry | 2 | 8% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Other | 4 | 17% |
Unknown | 8 | 33% |