Literature DB >> 33033849

Vessel tech: a high-accuracy pipeline for comprehensive mouse retinal vasculature characterization.

Xuelin Wang1, Guofu Zhu2, Shumin Wang3, Jordan Rhen3, Jinjiang Pang4, Zhengwu Zhang5.   

Abstract

Mouse retinal vasculature is a well-recognized and commonly used animal model for angiogenesis and microvascular remodeling. Morphological features of retinal vasculature reflect the vessel's biological functions, and are critical in understanding the physiological and pathological process of vascular development and disease. Here we developed a comprehensive software, Vessel Tech, using retinal vasculature images of postnatal mice. This pipeline can automatically process retinal vascular images, reconstruct vessel network with high accuracy and assess global and local vascular characteristics based on the recent machine-learning techniques. The development of Vessel Tech provides a powerful tool for vascular biologists.

Entities:  

Keywords:  Automatic quantification; Deep learning; Morphologic analysis; Mouse retinal vasculature; Vascular development

Mesh:

Year:  2020        PMID: 33033849      PMCID: PMC7920901          DOI: 10.1007/s10456-020-09752-8

Source DB:  PubMed          Journal:  Angiogenesis        ISSN: 0969-6970            Impact factor:   10.658


  12 in total

1.  Development of the mouse retinal vasculature: angiogenesis versus vasculogenesis.

Authors:  Marcus Fruttiger
Journal:  Invest Ophthalmol Vis Sci       Date:  2002-02       Impact factor: 4.799

2.  Inducible gene targeting in the neonatal vasculature and analysis of retinal angiogenesis in mice.

Authors:  Mara E Pitulescu; Inga Schmidt; Rui Benedito; Ralf H Adams
Journal:  Nat Protoc       Date:  2010-08-12       Impact factor: 13.491

Review 3.  Development of the retinal vasculature.

Authors:  Marcus Fruttiger
Journal:  Angiogenesis       Date:  2007-02-24       Impact factor: 9.596

4.  Endothelial cell-derived non-canonical Wnt ligands control vascular pruning in angiogenesis.

Authors:  Claudia Korn; Beate Scholz; Junhao Hu; Kshitij Srivastava; Jessica Wojtarowicz; Tabea Arnsperger; Ralf H Adams; Michael Boutros; Hellmut G Augustin; Iris Augustin
Journal:  Development       Date:  2014-04       Impact factor: 6.868

5.  Dynamic endothelial cell rearrangements drive developmental vessel regression.

Authors:  Claudio A Franco; Martin L Jones; Miguel O Bernabeu; Ilse Geudens; Thomas Mathivet; Andre Rosa; Felicia M Lopes; Aida P Lima; Anan Ragab; Russell T Collins; Li-Kun Phng; Peter V Coveney; Holger Gerhardt
Journal:  PLoS Biol       Date:  2015-04-17       Impact factor: 8.029

Review 6.  Manipulating the microvasculature and its microenvironment.

Authors:  Laxminarayanan Krishnan; Carlos C Chang; Sara S Nunes; Stuart K Williams; Jeffrey A Weiss; James B Hoying
Journal:  Crit Rev Biomed Eng       Date:  2013

7.  Rapid analysis of vessel elements (RAVE): a tool for studying physiologic, pathologic and tumor angiogenesis.

Authors:  Marc E Seaman; Shayn M Peirce; Kimberly Kelly
Journal:  PLoS One       Date:  2011-06-09       Impact factor: 3.240

8.  A computational tool for quantitative analysis of vascular networks.

Authors:  Enrique Zudaire; Laure Gambardella; Christopher Kurcz; Sonja Vermeren
Journal:  PLoS One       Date:  2011-11-16       Impact factor: 3.240

Review 9.  Methods to label, image, and analyze the complex structural architectures of microvascular networks.

Authors:  Bruce A Corliss; Corbin Mathews; Richard Doty; Gustavo Rohde; Shayn M Peirce
Journal:  Microcirculation       Date:  2019-01-17       Impact factor: 2.628

10.  AutoTube: a novel software for the automated morphometric analysis of vascular networks in tissues.

Authors:  Javier A Montoya-Zegarra; Erica Russo; Peter Runge; Maria Jadhav; Ann-Helen Willrodt; Szymon Stoma; Simon F Nørrelykke; Michael Detmar; Cornelia Halin
Journal:  Angiogenesis       Date:  2018-10-28       Impact factor: 9.596

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