Er, Ece Melis;
González, Martha Patricia Pérez;
Garrido, Beatriz Gil;
Ho, Jasmine;
Kim, Hae‐Won;
Knowles, Jonathan Campbell;
Hua, Jia;
... Sawadkar, Prasad; + view all
(2025)
Precise Quantification of Angiogenesis in 3D Biomaterials Using in Vitro CAM Models: Enhancing 3Rs in Research and Minimizing in Vivo Dependency.
Advanced Functional Materials
, Article e03722. 10.1002/adfm.202503722.
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Abstract
The efficacy of tissue engineering applications depends on selecting a scaffold with angiogenic properties, as angiogenesis plays a pivotal role in delivering nutrients and oxygen to cells for proper function. This study employed the chorioallantoic membrane (CAM) assay as a 3R‐compliant model to investigate angiogenesis within an elastin‐fibrin scaffold. Angiogenesis was evaluated in 2D using ImageJ software and in 3D using Micro‐CT and confocal microscopy, respectively, following the intravascular injection of the contrast agents Indocyanine Green (ICG) and Microfil to quantify the vascular volume. Furthermore, we compared CAM analysis with in vivo vascularization using Optiray 350, an iodine‐based contrast agent. Our findings highlight the limitations of 2D quantification and identify significant differences in vascular volume quantification between Microfil and ICG (p < 0.05). Specifically, ICG is distributed uniformly throughout the vascular network, unlike Microfil and Optiray 350, which have limited penetration in the microvessels within scaffolds. Our findings present a refined method for high‐resolution, 3D visualization and quantification of vascular networks within biomaterials by CAM. This approach enables rapid assessment of angiogenic potential, thereby significantly reducing reliance on animal testing. By supporting the principles of the 3Rs, this strategy offers a more ethical and scalable framework for preclinical biomaterial evaluation.
Type: | Article |
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Title: | Precise Quantification of Angiogenesis in 3D Biomaterials Using in Vitro CAM Models: Enhancing 3Rs in Research and Minimizing in Vivo Dependency |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1002/adfm.202503722 |
Publisher version: | https://doi.org/10.1002/adfm.202503722 |
Language: | English |
Additional information: | This work is licensed under a Creative Commons License. The images or other third-party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | Non-response; Non-response follow-up; Non-response conversion strategies; next steps; response burden |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Eastman Dental Institute UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci > Department of Targeted Intervention UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Eastman Dental Institute > Biomaterials and Tissue Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10211933 |
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