title: Quantitative validation of anti-PTBP1 antibody for diagnostic neuropathology use: Image analysis approach.
abstract: Traditional diagnostic neuropathology relies on subjective interpretation of visual data obtained from a brightfield microscopy. This approach causes high variability, unsatisfactory reproducibility, and inability for multiplexing even among experts. These problems may affect patient outcomes and confound clinical decision-making. Also, standard histological processing of pathological specimens leads to auto-fluorescence and other artifacts, a reason why fluorescent microscopy is not routinely implemented in diagnostic pathology. To overcome these problems, objective and quantitative methods are required to help neuropathologists in their clinical decision-making. Therefore, we propose a computerized image analysis method to validate anti-PTBP1 antibody for its potential use in diagnostic neuropathology. Images were obtained from standard neuropathological specimens stained with anti-PTBP1 antibody. First, the noise characteristics of the images were modeled and images are de-noised according to the noise model. Next, images are filtered with sigma-adaptive Gaussian filtering for normalization, and cell nuclei are detected and segmented with a k-means-based deterministic approach. Experiments on 29 data sets from 3 cases of brain tumor and reactive gliosis show statistically significant differences between the number of positively stained nuclei in images stained with and without anti-PTBP1 antibody. The experimental analysis of specimens from 3 different brain tumor groups and 1 reactive gliosis group indicates the feasibility of using anti-PTBP1 antibody in diagnostic neuropathology, and computerized image analysis provides a systematic and quantitative approach to explore feasibility.
authors.affiliation: Department of Computer Engineering, Engineering Faculty, Akdeniz University, Dumlupinar Boulevard, TR-07058, Antalya, Turkey.
authors.forename: Evgin
authors.identifier: 0000-0002-2329-4107
authors.initials: E
authors.lastname: Goceri
authors.affiliation: Department of Pathology, Division of Neuropathology, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA.
authors.forename: Behiye
authors.initials: B
authors.lastname: Goksel
authors.affiliation: Department of Neurological Surgery, Wexner Medical Center, The Ohio State University, Columbus, OH, 43210, USA.
authors.forename: James B
authors.initials: JB
authors.lastname: Elder
authors.affiliation: Department of Neurological Surgery, Wexner Medical Center, The Ohio State University, Columbus, OH, 43210, USA.
authors.forename: Vinay K
authors.initials: VK
authors.lastname: Puduvalli
authors.affiliation: Department of Pathology, Division of Neuropathology, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA.
authors.forename: Jose J
authors.initials: JJ
authors.lastname: Otero
authors.affiliation: Department of Biomedical Informatics, Wexner Medical Center, The Ohio State University, Columbus, OH, 43210, USA.
authors.forename: Metin N
authors.initials: MN
authors.lastname: Gurcan
mesh_terms: D000906:Antibodies / Q000276:immunology*; D001932:Brain Neoplasms / Q000000981:diagnostic imaging* / Q000276:immunology; D005911:Gliosis / Q000000981:diagnostic imaging* / Q000276:immunology; D034441:Heterogeneous-Nuclear Ribonucleoproteins / Q000276:immunology*; D006801:Humans; D038941:Polypyrimidine Tract-Binding Protein / Q000276:immunology*
chemical_list: D000906:Antibodies; D034441:Heterogeneous-Nuclear Ribonucleoproteins; C450006:PTBP1 protein, human; D038941:Polypyrimidine Tract-Binding Protein
keywords: PTBP1; antibody validation; automated image analysis; neuropathology