Automated quantification and reconstruction of collagen matrix from 3D confocal datasets.
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.
Wu
J
J
Department of Biology, Purdue University, West Lafayette, IN 47907, USA.
Rajwa
B
B
Filmer
D L
DL
Hoffmann
C M
CM
Yuan
B
B
Chiang
C
C
Sturgis
J
J
Robinson
J P
JP
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
D024042:Collagen Type I