title: A new computer analysis technique using automatic threshold selection algorithm, available for quantitative estimation of the immunostained dendrites of the cerebellum.
abstract: We developed a new computer image analysis technique with application of an automatic threshold selection (ATS) algorithm which was successfully used in the quantitative evaluation of a highly complex texture of immunostained brain tissue. We applied this new method for estimation of the volume of the Purkinje dendrites, which were immunohistochemically stained for inositol 1,4,5-trisphosphate receptor protein (P400), and demonstrated a significant reduction of the dendritic arborization of the Purkinje cells of a neurological mutant mouse. Wriggle mouse Sagami, which would appear normal if stained with conventional methods such as H-E and Nissle staining.
authors.affiliation: Department of Anatomy, School of Medicine, Kanazawa University, Japan.
authors.forename: M
authors.initials: M
authors.lastname: Moriya
authors.forename: Y
authors.initials: Y
authors.lastname: Inoue
authors.forename: S
authors.initials: S
authors.lastname: Tanaka
mesh_terms: D000465:Algorithms; D000818:Animals; D015220:Calcium Channels; D002531:Cerebellum / Q000166:cytology*; D003712:Dendrites; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007150:Immunohistochemistry; D053496:Inositol 1,4,5-Trisphosphate Receptors; D051379:Mice; D008817:Mice, Mutant Strains; D011689:Purkinje Cells / Q000166:cytology; D018160:Receptors, Cytoplasmic and Nuclear; D013194:Staining and Labeling
chemical_list: D015220:Calcium Channels; D053496:Inositol 1,4,5-Trisphosphate Receptors; D018160:Receptors, Cytoplasmic and Nuclear