Literature DB >> 10190254

A full color system for quantitative assessment of histochemical and immunohistochemical staining patterns.

W Ma1, S Lozanoff.   

Abstract

Quantitative measures of staining distributions are important to compare the presence and patterns of cells or macromolecules. Typically, achromatic thresholding systems are used to compare staining distributions. Achromatic video signals, however, lack sufficient resolution to identify and compare chromatic changes. The purpose of this study is to describe a full color system for analysis of chromatic staining distributions. The hardware system includes a Leitz Diaplan microscope, video camera, GVP videoboard and Amiga 3000 computer. Software was developed in "C" to partition the video signal into hue (H), saturation (S) and value (V). Also, percentage of stained area was determined. Kodak color filters were used to assess the accuracy and precision of the system. Craniofacial tissues were stained with varying concentrations of toluidine blue and primary anti-BrdU antibodies. HSV and the percentage of stained areas were determined and displayed low coefficients of error. HSV values also performed as expected for standard filters as well as cellular staining concentrations. This system is easily implemented and should be useful for comparing chromatic changes with any color resulting from histochemical or immunohistochemical procedures.

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Year:  1999        PMID: 10190254     DOI: 10.3109/10520299909066470

Source DB:  PubMed          Journal:  Biotech Histochem        ISSN: 1052-0295            Impact factor:   1.718


  5 in total

1.  Automated quantification of nuclear immunohistochemical markers with different complexity.

Authors:  Carlos López; Marylène Lejeune; María Teresa Salvadó; Patricia Escrivà; Ramón Bosch; Lluis E Pons; Tomás Alvaro; Jordi Roig; Xavier Cugat; Jordi Baucells; Joaquín Jaén
Journal:  Histochem Cell Biol       Date:  2008-01-03       Impact factor: 4.304

2.  Quantification of diverse subcellular immunohistochemical markers with clinicobiological relevancies: validation of a new computer-assisted image analysis procedure.

Authors:  Marylène Lejeune; Joaquín Jaén; Lluis Pons; Carlos López; Maria-Teresa Salvadó; Ramón Bosch; Marcial García; Patricia Escrivà; Jordi Baucells; Xavier Cugat; Tomás Alvaro
Journal:  J Anat       Date:  2008-06       Impact factor: 2.610

3.  Craniofacial features resembling frontonasal dysplasia with a tubulonodular interhemispheric lipoma in the adult 3H1 tuft mouse.

Authors:  Keith S K Fong; Tiffiny Baring Cooper; Wallace C Drumhiller; S Jack Somponpun; Shiming Yang; Thomas Ernst; Linda Chang; Scott Lozanoff
Journal:  Birth Defects Res A Clin Mol Teratol       Date:  2012-01-13

4.  Immunohistochemistry as an important tool in biomarkers detection and clinical practice.

Authors:  Leandro Luongo de Matos; Damila Cristina Trufelli; Maria Graciela Luongo de Matos; Maria Aparecida da Silva Pinhal
Journal:  Biomark Insights       Date:  2010-02-09

5.  IHC Profiler: an open source plugin for the quantitative evaluation and automated scoring of immunohistochemistry images of human tissue samples.

Authors:  Frency Varghese; Amirali B Bukhari; Renu Malhotra; Abhijit De
Journal:  PLoS One       Date:  2014-05-06       Impact factor: 3.240

  5 in total

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