Hyperspectral Tracking of In Situ Tissue Regeneration and Remodeling in a Rationally Designed Biological Scaffold in a Rat Subcutaneous Model

被引:0
|
作者
Hu, Menghan [1 ,2 ]
Zhao, Bailiang [1 ,2 ]
Li, Qingli [1 ]
Zhai, Guangtao [3 ]
Ai, Jin [1 ,2 ]
Huang, Senli [4 ]
Tang, Yuting [4 ]
Sun, Wendell Q. [2 ,4 ]
Yang, Simon X. [5 ]
机构
[1] East China Normal Univ, Shanghai Key Lab Multidimens Informat Proc, Shanghai 200241, Peoples R China
[2] Univ Shanghai Sci & Technol, Sch Hlth Sci & Engn, Shanghai 200093, Peoples R China
[3] Shanghai Jiao Tong Univ, Inst Image Commun & Informat Proc, Shanghai Key Lab Digital Media Proc & Transmiss, Shanghai 200240, Peoples R China
[4] Beijing Ruijian Gaoke Biotechnol Co Ltd, Beijing 102200, Peoples R China
[5] Univ Guelph, Sch Engn, Adv Robot & Intelligent Syst Lab, Guelph, ON N1G 2W1, Canada
基金
中国国家自然科学基金;
关键词
Hyperspectral imaging; Biology; Imaging; Reflectivity; Correlation; Surgery; Connective tissue; Acellular dermis; biological scaffold; extracellular matrix; hyperspectral imaging; tissue regeneration; MATRIX; RECONSTRUCTION; BIOMATERIALS; INSTABILITY; REPAIR;
D O I
10.1109/TIM.2024.3415793
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A remote and noncontact tissue regeneration tracking technique is of great significance in regenerative medicine for monitoring cell ingrowth, revascularization and remodeling of the implanted biological scaffold. This study has explored the bimodal hyperspectral imaging system to study quantitatively the action of a scaffold-induced tissue regeneration in the rat subcutaneous model, and verified the findings by the traditional histopathological analysis. The study reveals a pattern of rapid host cell ingrowth and revascularization within 2-3 weeks which is then followed by a slower scaffold remodeling process in a rationally designed biological scaffold. The hyperspectral tracking of tissue regeneration and remodeling process overcomes the limitations of the traditional destructive and time-consuming histopathology and provides a novel analytical tool for investigating in situ tissue formation in regenerative medicine. Data of this work are publicly available at: https://github.com/Zhiao1111/Hyperspectral-Tissue-Regeneration-and-Remodeling-Reference-Dataset.
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页数:10
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