Dataset Information

Blood Vessel Detection Algorithm for Tissue Engineering and Quantitative Histology.

ABSTRACT: 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.

SUBMITTER: Adamo A

PROVIDER: S-EPMC8917109 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature

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Blood Vessel Detection Algorithm for Tissue Engineering and Quantitative Histology.

Adamo A A Bruno A A Menallo G G Francipane M G MG Fazzari M M Pirrone R R Ardizzone E E Wagner W R WR D'Amore A A

Annals of biomedical engineering 20220216 4

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 ...[more]

PMID: 35171393

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Project description:Imaging techniques have proved to be crucial for diagnosis in reptile species. The topography of the internal organs of bearded dragons has been described in recent studies as meeting the small animal practitioners´ demand for knowledge concerning their anatomy. However, the nomenclature in the respective literature is not uniform, which could lead to misunderstandings concerning the respective and/or affected parts of the alimentary canal. Therefore, the aim of this study was to provide clear information on anatomy and histology of the alimentary canal of bearded dragons including supplying blood vessels. For the dissection of the alimentary canal, 11 Inland Bearded Dragons (Pogona vitticeps) were used (five males, six females), which had been euthanised for clinical reasons other than those concerning the digestive tract or had died spontaneously. The supplying arteries were demonstrated by injecting red latex into the aorta, while the intestinal veins were filled with blue latex via the portal vein. Microscopic examination was carried out on specimens of seven additional bearded dragons using routine histologic procedures. Macroscopically, the sections of the alimentary canal from oral to aboral were distinguished into oesophagus, stomach, small intestine, colic ampulla, colic isthmus, rectum and cloaca. Differentiation of the duodenum, jejunum and ileum was only possible when considering the bile duct, the vasculature and the histology of the organ wall. Arteries supplying the oesophagus and the final straight part of the large intestine originated from the aorta in a segmental manner. Between these, three unpaired arteries arose from the aorta. Their branches supplied stomach and intestine excluding its last part. Based on the findings of the present study, a nomenclature for the different parts of the alimentary canal and the supplying blood vessels of bearded dragons is suggested which is well understandable for veterinary practitioners and is based on zoological knowledge of reptiles.

Project description:ObjectiveIntravascular stents are commonly used to treat occluded arteries during coronary heart disease. After coronary stent implantation, endothelial cells grow over the stent, which is referred to as re-endothelialization. Re-endothelialization prevents blood from clotting on the stent surface and is a good predictor of stent success. Blood vessel mimics (BVMs) are in vitro tissue-engineered models of human blood vessels that may be used to preclinically test stents for re-endothelialization. BVMs have been developed in straight geometries. However, the United States Food and Drug Administration recommends that devices intended to treat coronary occlusions be preclinically tested in bent and bifurcated vessels due to the complex geometries of native coronary arteries. The main objectives of this study were to develop and characterize BVMs in complex geometries.DesignBioreactors were designed and constructed so that BVMs could be cultivated in bent (>45°) and bifurcated geometries. Human umbilical vein endothelial cells were sodded onto complex-shaped scaffolds, and the resulting BVMs were characterized for cell deposition. For a final proof of concept, a coronary stent was deployed in a severely angulated BVM.ResultsThe new bioreactors were easy to use and mounting scaffolds in complex geometries in the bioreactors was successful. After sodding scaffolds with cells, there were no statistically significant differences between the cell densities along the length of the BVMs, on the top and bottom halves of the BVMs, or on the inner and outer halves of the BVMs. This suggests cells deposited evenly throughout the scaffolds, resulting in consistent complex-geometry BVMs. Also, a coronary stent was successfully deployed in a severely angulated BVM.ConclusionsBioreactors can be constructed for housing complex-shaped vessels. BVMs can be developed in the complex geometries observed in native coronary arteries with endothelial cells evenly dispersed throughout BVM lumens.

Dataset Information

Blood Vessel Detection Algorithm for Tissue Engineering and Quantitative Histology.

Publications

Blood Vessel Detection Algorithm for Tissue Engineering and Quantitative Histology.

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