An automated approach for analyzing D-periods in collagen fibril images.
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.
Gkoumplias
V
V
Department of Electronic and Computer Engineering, Technical University of Crete, Chania 73100, Greece.
Zervakis
M
M
Tzaphlidou
M
M
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
D024042:Collagen Type I; D024061:Collagen Type III; D024022:Fibrillar Collagens