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Automated quantification and reconstruction of collagen matrix from 3D confocal datasets
Author(s) -
Wu J.,
Rajwa B.,
Filmer D. L.,
Hoffmann C. M.,
Yuan B.,
Chiang C.,
Sturgis J.,
Robinson J. P.
Publication year - 2003
Publication title -
journal of microscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.569
H-Index - 111
eISSN - 1365-2818
pISSN - 0022-2720
DOI - 10.1046/j.1365-2818.2003.01191.x
Subject(s) - confocal , matrix (chemical analysis) , confocal microscopy , computer science , chemistry , materials science , physics , optics , chromatography
Summary 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.