Blood Vessel Detection Algorithm for Tissue Engineering and Quantitative Histology
| Autor: | A. Adamo, A. Bruno, G. Menallo, M. G. Francipane, M. Fazzari, R. Pirrone, E. Ardizzone, W. R. Wagner, A. D’Amore |
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| Přispěvatelé: | Adamo A., Bruno A., Menallo G., Francipane M.G., Fazzari M., Pirrone R., Ardizzone E., Wagner W.R., D'Amore A. |
| Rok vydání: | 2021 |
| Předmět: |
Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni
Neovascularization Pathologic Tissue Engineering Biomedical Engineering Image Processing Computer-Assisted Settore ING-IND/34 - Bioingegneria Industriale Humans Angiogenesis Automated image analysis Biomaterials host response Blood vessel formation Blood vessel morphology Quantitative histology Quantitative immunohistochemistry Vascularization Immunohistochemistry Algorithms |
| Zdroj: | Annals of biomedical engineering. 50(4) |
| ISSN: | 1573-9686 0090-6964 |
| Popis: | Immunohistochemistry for vascular network analysis plays a fundamental role in basic science, translational research and clinical practice. However, identifying vascularization in histological tissue images is time consuming and markedly depends on the operator’s experience. In this study, we present “blood vessel detection—BVD”, an automatic algorithm for quantitative analysis of blood vessels in immunohistochemical images. BVD is based on extraction and analysis of low-level image features and spatial filtering techniques, which do not require a training phase. BVD algorithm performance was comparatively evaluated on histological sections from three different in vivo experiments. Collectively, 173 independent images were analyzed, and the algorithm's results were compared to those obtained by human operators. The developed BVD algorithm proved to be a robust and versatile tool, being able to quantify number, area, and spatial distribution of blood vessels within all three considered histologic datasets. BVD is provided as an open-source application working on different operating systems. BVD is supported by a user-friendly graphical interface designed to facilitate large-scale analysis. |
| Databáze: | OpenAIRE |
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