title: An automated approach for analyzing D-periods in collagen fibril images.
abstract: This paper considers an approach for analyzing fibrillar collagen structures based on fundamental concepts of pattern recognition. It focuses on the quantitative comparison between collagen structural data (electron-optical data) and chemical data. Theoretical models in the form of sequence-generated histograms are used as reference for extracting and analyzing the structural unit in images from collagen fibrils. In this respect, collagen provides a valuable model system for studying the chemical basis of ultrastructure, as well as detecting the alterations in collagen fibril structure produced by a disorder. Application examples are presented and the results are compared with biochemical studies.
authors.affiliation: Department of Electronic and Computer Engineering, Technical University of Crete, Chania 73100, Greece.
authors.forename: V
authors.initials: V
authors.lastname: Gkoumplias
authors.forename: M
authors.initials: M
authors.lastname: Zervakis
authors.forename: M
authors.initials: M
authors.lastname: Tzaphlidou
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D000818:Animals; D024042:Collagen Type I / Q000032:analysis / Q000737:chemistry / Q000648:ultrastructure; D024061:Collagen Type III / Q000032:analysis / Q000737:chemistry / Q000648:ultrastructure; D024022:Fibrillar Collagens / Q000032:analysis / Q000737:chemistry* / Q000648:ultrastructure*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008099:Liver / Q000737:chemistry / Q000378:metabolism; D008956:Models, Chemical; D008958:Models, Molecular; D008969:Molecular Sequence Data; D011817:Rabbits; D051381:Rats; D020539:Sequence Analysis, Protein / Q000379:methods; D012867:Skin / Q000737:chemistry / Q000378:metabolism
chemical_list: D024042:Collagen Type I; D024061:Collagen Type III; D024022:Fibrillar Collagens