A new computer analysis technique using automatic threshold selection algorithm, available for quantitative estimation of the immunostained dendrites of the cerebellum.

M Moriya; Y Inoue; S Tanaka

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PubMed · 7517610

A new computer analysis technique using automatic threshold selection algorithm, available for quantitative estimation of the immunostained dendrites of the cerebellum.

M Moriya·Y Inoue·S Tanaka

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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.

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Algorithms Animals Calcium Channels Cerebellum Dendrites Image Processing, Computer-Assisted Immunohistochemistry Inositol 1,4,5-Trisphosphate Receptors Mice Mice, Mutant Strains Purkinje Cells Receptors, Cytoplasmic and Nuclear Staining and Labeling Journal Article Research Support, Non-U.S. Gov't

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M Moriya, Y Inoue, S Tanaka. 1994. A new computer analysis technique using automatic threshold selection algorithm, available for quantitative estimation of the immunostained dendrites of the cerebellum.. https://pubmed.ncbi.nlm.nih.gov/7517610/

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