Multiresolution image analysis for automatic quantification of collagen gel contraction

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC
Pages64-65
Number of pages2
DOIs
StatePublished - 2013
Event39th Annual Northeast Bioengineering Conference, NEBEC 2013 - Syracuse, NY, United States
Duration: Apr 5 2013Apr 7 2013

Other

Other39th Annual Northeast Bioengineering Conference, NEBEC 2013
CountryUnited States
CitySyracuse, NY
Period4/5/134/7/13

Fingerprint

Collagen
Image analysis
Gels
Biocompatible Materials
Tissue engineering
Biomaterials
Materials properties
Tissue
Color
Imaging techniques
Processing
Experiments

Keywords

  • deformable model
  • gel contraction
  • multiresolution

ASJC Scopus subject areas

  • Bioengineering

Cite this

Chen, H. C., Yang, T. H., Thoreson, A. R., Zhao, C. D., Amadio, P. C., Su, F. C., ... Sun, M. (2013). Multiresolution image analysis for automatic quantification of collagen gel contraction. In Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC (pp. 64-65). [6574359] https://doi.org/10.1109/NEBEC.2013.115

Multiresolution image analysis for automatic quantification of collagen gel contraction. / Chen, Hsin Chen; Yang, Tai Hua; Thoreson, Andrew R.; Zhao, Chunfeng D; Amadio, Peter C; Su, Fong Chin; Jia, Wenyan; Sun, Yung Nien; An, Kai Nan; Sun, Mingui.

Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC. 2013. p. 64-65 6574359.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chen, HC, Yang, TH, Thoreson, AR, Zhao, CD, Amadio, PC, Su, FC, Jia, W, Sun, YN, An, KN & Sun, M 2013, Multiresolution image analysis for automatic quantification of collagen gel contraction. in Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC., 6574359, pp. 64-65, 39th Annual Northeast Bioengineering Conference, NEBEC 2013, Syracuse, NY, United States, 4/5/13. https://doi.org/10.1109/NEBEC.2013.115
Chen HC, Yang TH, Thoreson AR, Zhao CD, Amadio PC, Su FC et al. Multiresolution image analysis for automatic quantification of collagen gel contraction. In Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC. 2013. p. 64-65. 6574359 https://doi.org/10.1109/NEBEC.2013.115
Chen, Hsin Chen ; Yang, Tai Hua ; Thoreson, Andrew R. ; Zhao, Chunfeng D ; Amadio, Peter C ; Su, Fong Chin ; Jia, Wenyan ; Sun, Yung Nien ; An, Kai Nan ; Sun, Mingui. / Multiresolution image analysis for automatic quantification of collagen gel contraction. Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC. 2013. pp. 64-65
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