Literature DB >> 15158050

Automated quantitative analysis of angiogenesis in the rat aorta model using Image-Pro Plus 4.1.

Rebecca J Blatt1, Adam N Clark, Jama Courtney, Chris Tully, Amy L Tucker.   

Abstract

This paper explains the automated image-processing steps for the quantification of microvascular growth formation in the rat thoracic aortic ring model, an ex vivo model using excised rings of rat aorta embedded in a collagen matrix which produce outgrowths of microvessels. This model of angiogenesis is useful to study the mechanism by which external agents inhibit or stimulate endothelial cell proliferation and tube formation. The manual quantification of blood vessel growth in this model is normally a time-consuming, error prone process. Former automated image analysis methods of the ring model are outdated and cannot be used with current software technology. A macro was created using Image-Pro Plus 4.1 software which was chosen for image analysis because it allows a high degree of control and replication of image-processing steps. The accuracy of this macro was determined by comparing automated counts to manual counts in 161 aortic rings. The square root of the manual count versus the square root of the automated count resulted in a root mean square value of 0.8305.

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Year:  2004        PMID: 15158050     DOI: 10.1016/j.cmpb.2003.11.001

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  14 in total

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Journal:  Angiogenesis       Date:  2018-08       Impact factor: 9.596

Review 3.  A role for the androgen-receptor in clinically localized and advanced prostate cancer.

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Journal:  Best Pract Res Clin Endocrinol Metab       Date:  2008-04       Impact factor: 4.690

4.  Use of the mouse aortic ring assay to study angiogenesis.

Authors:  Marianne Baker; Stephen D Robinson; Tanguy Lechertier; Paul R Barber; Bernardo Tavora; Gabriela D'Amico; Dylan T Jones; Boris Vojnovic; Kairbaan Hodivala-Dilke
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5.  Computer-aided Image Processing of Angiogenic Histological.

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7.  Object orientated automated image analysis: quantitative and qualitative estimation of inflammation in mouse lung.

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Journal:  Diagn Pathol       Date:  2008-07-15       Impact factor: 2.644

8.  Preoperative Prediction of Ki-67 Labeling Index By Three-dimensional CT Image Parameters for Differential Diagnosis Of Ground-Glass Opacity (GGO).

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Journal:  PLoS One       Date:  2015-06-10       Impact factor: 3.240

9.  Glycation of vitronectin inhibits VEGF-induced angiogenesis by uncoupling VEGF receptor-2-αvβ3 integrin cross-talk.

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Review 10.  The aortic ring model of angiogenesis: a quarter century of search and discovery.

Authors:  R F Nicosia
Journal:  J Cell Mol Med       Date:  2009-09-01       Impact factor: 5.310

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