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Automated quantification and reconstruction of collagen matrix from 3D confocal datasets |
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| Authors: | J Wu B Rajwa†¶ D L Filmer C M Hoffmann‡ B Yuan‡ C Chiang‡ J Sturgis† & J P Robinson†§ |
| Affiliation: | Department of Biology,;Department of Basic Medical Sciences,;Department of Computer Science, and;Department of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, U.S.A.;Department of Biophysics, The Jan Zurzycki Institute of Molecular Biology and Biotechnology, Jaqiellonion University, ul. Gronostajowa 7, 30–387 Kraków, Poland |
| Abstract: | The geometrical structure of fibrous extracellular matrix (ECM) impacts on its biological function. In this report, we demonstrate a new algorithm designed to extract quantitative structural information about individual collagen fibres (orientation, length and diameter) from 3D backscattered‐light confocal images of collagen gels. The computed quantitative data allowed us to create surface‐rendered 3D images of the investigated sample. |
| Keywords: | 3D reconstruction collagen fibre confocal microscopy ECM tracking algorithm |
