title: Automated quantification and reconstruction of collagen matrix from 3D confocal datasets.
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.
authors.affiliation: Department of Biology, Purdue University, West Lafayette, IN 47907, USA.
authors.forename: J
authors.initials: J
authors.lastname: Wu
authors.forename: B
authors.initials: B
authors.lastname: Rajwa
authors.forename: D L
authors.initials: DL
authors.lastname: Filmer
authors.forename: C M
authors.initials: CM
authors.lastname: Hoffmann
authors.forename: B
authors.initials: B
authors.lastname: Yuan
authors.forename: C
authors.initials: C
authors.lastname: Chiang
authors.forename: J
authors.initials: J
authors.lastname: Sturgis
authors.forename: J P
authors.initials: JP
authors.lastname: Robinson
mesh_terms: D000818:Animals; D001331:Automation; D002417:Cattle; D024042:Collagen Type I / Q000737:chemistry / Q000302:isolation & purification / Q000648:ultrastructure*; D005109:Extracellular Matrix / Q000737:chemistry / Q000648:ultrastructure; D021621:Imaging, Three-Dimensional / Q000379:methods*; D018613:Microscopy, Confocal; D008953:Models, Anatomic
chemical_list: D024042:Collagen Type I