There is a need to establish successful approaches in improving blood perfusion in tissue engineered constructs, which demands the development of new reliable methods to study the vascularization processes within the biomaterials. Common methods for making scaffold vascularization ex vivo visible include the use of microscopy, which provides a high-resolution tool. In most cases, though, this method is limited to the analysis of small tissue areas and tends to be expensive and time consuming. Moreover, it often includes elaborate labeling and staining methods, where blood perfused vessels cannot be distinguished from non-functional ones22. Methods in use to assess the functionality of vessels are computer tomography, magnetic resonance imaging and positron electron tomography. These methods have the drawbacks of extremely costly equipment and low-resolution power23. Another commonly used strategy to visualize vascularization is the use of vascular casts followed by chemical corrosion of the tissue24. This method makes it possible to obtain a representative 3D structure of the vascular network, but the results strongly vary depending on the level of artificial perfusion and tissues cannot be used for further biochemical studies, such as protein or RNA analysis. The chicken chorioallantoic membrane (CAM) model25 and the skinfold chamber model in rodents26,27 have shown to be effective methods to analyze angiogenesis, capillary perfusion and blood flow. Recently, the skinfold chamber model has also been used for tissue engineering applications evaluating MSC-based vascularization strategies in porous polyurethane scaffolds28. These methods present important advantages for in vivo imaging and represent an attractive target for the method described here.
The model presented here was developed to overcome the shortcomings of the methods mentioned above. Taking advantage of the unique intrinsic characteristics of the skin, full defects are created and used to evaluate vascularization of biomaterials. Skin is an external organ, which allows easier visualization and manipulation of the tissue. Because of its large surface and homogeneous structure, multiple defects can be created which make internal comparisons possible, while decreasing the number of animals required for the study. Due to the antero-posterior symmetry of the animal, bilateral defects are suggested, however; the influence of systemic effects should be considered when both sides are compared to each other. Finally, skin is a fairly transparent tissue representing an optimal organ of choice for transillumination. Although the method described here is suited for many different native tissues and several biomaterials, this protocol was originally established to be used with a double-layer collagen-based scaffold that is FDA-approved and clinically used for dermal repair. An important prerequisite for the implementation of this method is that the scaffold has to be partially transparent. Depending on the chosen scaffold material, some adaptation of the protocol might be required. Previously, our group has used the model to show how the application of human mesenchymal cells to scaffolds enhances their vascularization29.
A standard digital camera and a light source are sufficient for the visualization of the vascular network, which can be quantified through free software. The semiautomatic segmentation of the pictures by the VesSeg-Tool consists of two steps. In the first step, the image taken from the vascular network is contrast-enhanced leading to a vessel map. Then, the segmentation algorithm selects the vessel areas and finally, the segmentation proposal is presented as an image (Figure 4)30. In a second processing step, using the fact that vessels are connected structures (meaning that vessel pixels hang together spatially), a second segmentation is used to select from the first one only the true vessel pixels and all true vessel pixels. Therefore, a final label of “one” is awarded only to those low-confidence vessel pixels from the first image that are connected over a chain of neighbors to a high-confidence vessel pixel in the second image.
Since no chemical additives are necessary, this method is also cost-effective. Digital analysis shows a good reproducibility at determining vessel dimensions, intravascular distances, number of branching points, vascularized area and total length of vascular network. We have previously shown that the blood vessel network can be better visualized by transillumination than through radio-angiographic studies31. The presence of the titan mesh has a double function. On the one hand, it prevents wound contraction, which is a common drawback of the use of mouse models; on the other hand, it provides a physical border between the scaffold and the wound bed. Because most scaffolds are biodegradable, the last-mentioned function is critical to physically delimitate the border between the scaffold and the wound bed during the harvesting of the scaffolds. Among the main drawbacks of this method is the need of explanting the scaffolds and therefore the restrain of the analysis to one single time point; thus the dynamic observation of vascularization is not possible with the current setting. Another problem is that this method is limited to semi-transparent biomaterials that permit transillumination. Finally, even though the operation procedure does not require special surgical skills, a learning curve of about 6 – 12 operated animals have to be considered to master the method properly.
We introduce a time and cost effective approach that allows high-resolution visualization and quantification of vascular structures, representing an ideal method to compare vascularization in different biomaterials or different scaffold-bioactivation strategies. This method is easy to establish and does not require special equipment. A key feature of this model is that after vessel visualization, tissues can be further used for studies such as histological or molecular analysis.