Automated quantification and reconstruction of collagen matrix from 3D confocal datasets

J Wu; B Rajwa; D L Filmer; C M Hoffmann; B Yuan; C Chiang; J Sturgis; J P Robinson

doi:10.1046/j.1365-2818.2003.01191.x

Automated quantification and reconstruction of collagen matrix from 3D confocal datasets

J Microsc. 2003 May;210(Pt 2):158-65. doi: 10.1046/j.1365-2818.2003.01191.x.

Authors

J Wu¹, B Rajwa, D L Filmer, C M Hoffmann, B Yuan, C Chiang, J Sturgis, J P Robinson

Affiliation

¹ Department of Biology, Purdue University, West Lafayette, IN 47907, USA.

PMID: 12753098
DOI: 10.1046/j.1365-2818.2003.01191.x

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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Animals
Automation
Cattle
Collagen Type I / chemistry
Collagen Type I / isolation & purification
Collagen Type I / ultrastructure*
Extracellular Matrix / chemistry
Extracellular Matrix / ultrastructure
Imaging, Three-Dimensional / methods*
Microscopy, Confocal*
Models, Anatomic*

Substances

Collagen Type I