Suppr超能文献

Obtaining the sGAG distribution profile in articular cartilage color images.

作者信息

Iglesias Carla, Luo Lu, Martínez Javier, Kelly Daniel J, Taboada Javier, Pérez Ignacio

机构信息

Department of Natural Resources and Environmental Engineering, University of Vigo, 36310 Vigo, Spain.

Trinity Centre for Bioengineering, School of Engineering, Trinity College Dublin, Dublin 2, Ireland.

出版信息

Biomed Tech (Berl). 2019 Sep 25;64(5):591-600. doi: 10.1515/bmt-2018-0055.

Abstract

The articular cartilage tissue is an essential component of joints as it reduces the friction between the two bones. Its load-bearing properties depend mostly on proteoglycan distribution, which can be analyzed through the study of the presence of sulfated glycosaminoglycan (sGAG). Currently, sGAG distribution in articular cartilage is not completely known; it is calculated by means of laboratory tests that imply the inherent inaccuracy of a manual procedure. This paper presents an easy-to-use desktop software application for obtaining the sGAG distribution profile in tissue. This app uses color images of stained cartilage tissues taken under a microscope, so researchers at the Trinity Centre for Bioengineering (Dublin, Ireland) can understand the qualitative distribution of sGAG with depth in the studied tissues.

摘要

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验