Multiresolution image analysis for automatic quantification of collagen gel contraction

Hsin Chen Chen, Tai Hua Yang, Andrew R. Thoreson, Chunfeng Zhao, Peter C. Amadio, Fong Chin Su, Wenyan Jia, Yung Nien Sun, Kai Nan An, Mingui Sun

研究成果: Conference contribution

摘要

Quantifying collagen gel contraction is important in tissue engineering and biological research because it provides spatial-temporal assessments of cell behaviors and tissue material properties. However, these assessments currently rely on manual processing, which is time-consuming and subjective to personal opinions. We present a multiresolution image analysis system for automatic quantification of gel contraction. This system includes a color conversion process to normalize and enhance the contrast between gel and background. Then, a deformable circular model is activated automatically to capture details of gel boundaries. These steps are coordinated by a multiresolution strategy. The target measurements are obtained after gel segmentation. Our experiments using 30 images demonstrated a high consistency between the proposed and manual segmentation methods. The system can process large-size images (4000x3000) at a rate of approximately one second per image. It thus serves as a useful tool for analyzing large biological and biomaterial imaging datasets efficiently and objectively.

原文English
主出版物標題Proceedings - 39th Annual Northeast Bioengineering Conference, NEBEC 2013
頁面64-65
頁數2
DOIs
出版狀態Published - 2013 十一月 8
事件39th Annual Northeast Bioengineering Conference, NEBEC 2013 - Syracuse, NY, United States
持續時間: 2013 四月 52013 四月 7

出版系列

名字Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC
ISSN(列印)1071-121X
ISSN(電子)2160-7001

Other

Other39th Annual Northeast Bioengineering Conference, NEBEC 2013
國家United States
城市Syracuse, NY
期間13-04-0513-04-07

All Science Journal Classification (ASJC) codes

  • Bioengineering

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