Quantification of Eosinophilic Granule Protein Deposition in Biopsies of Inflammatory Skin Diseases by Automated Image Analysis of Highly Sensitive Immunostaining

Eosinophilic granulocytes are major effector cells in inflammation. Extracellular deposition of toxic eosinophilic granule proteins (EGPs), but not the presence of intact eosinophils, is crucial for their functional effect in situ. As even recent morphometric approaches to quantify the involvement o...

Full description

Bibliographic Details
Main Authors: Peter Kiehl, Katrin Falkenberg, Markus Vogelbruch, Alexander Kapp
Format: Article
Language:English
Published: Hindawi Limited 1999-01-01
Series:Analytical Cellular Pathology
Online Access:http://dx.doi.org/10.1155/1999/735075
id doaj-0334744ab26a4795a93d138ff6ab46bd
record_format Article
spelling doaj-0334744ab26a4795a93d138ff6ab46bd2020-11-24T23:53:34ZengHindawi LimitedAnalytical Cellular Pathology0921-89121878-36511999-01-01193-415316210.1155/1999/735075Quantification of Eosinophilic Granule Protein Deposition in Biopsies of Inflammatory Skin Diseases by Automated Image Analysis of Highly Sensitive ImmunostainingPeter Kiehl0Katrin Falkenberg1Markus Vogelbruch2Alexander Kapp3Department of Dermatology and Allergology, Hannover Medical University, GermanyDepartment of Dermatology and Allergology, Hannover Medical University, GermanyDepartment of Dermatology and Allergology, Hannover Medical University, GermanyDepartment of Dermatology and Allergology, Hannover Medical University, GermanyEosinophilic granulocytes are major effector cells in inflammation. Extracellular deposition of toxic eosinophilic granule proteins (EGPs), but not the presence of intact eosinophils, is crucial for their functional effect in situ. As even recent morphometric approaches to quantify the involvement of eosinophils in inflammation have been only based on cell counting, we developed a new method for the cell‐independent quantification of EGPs by image analysis of immunostaining. Highly sensitive, automated immunohistochemistry was done on paraffin sections of inflammatory skin diseases with 4 different primary antibodies against EGPs. Image analysis of immunostaining was performed by colour translation, linear combination and automated thresholding. Using strictly standardized protocols, the assay was proven to be specific and accurate concerning segmentation in 8916 fields of 520 sections, well reproducible in repeated measurements and reliable over 16 weeks observation time. The method may be valuable for the cell‐independent segmentation of immunostaining in other applications as well.http://dx.doi.org/10.1155/1999/735075
collection DOAJ
language English
format Article
sources DOAJ
author Peter Kiehl
Katrin Falkenberg
Markus Vogelbruch
Alexander Kapp
spellingShingle Peter Kiehl
Katrin Falkenberg
Markus Vogelbruch
Alexander Kapp
Quantification of Eosinophilic Granule Protein Deposition in Biopsies of Inflammatory Skin Diseases by Automated Image Analysis of Highly Sensitive Immunostaining
Analytical Cellular Pathology
author_facet Peter Kiehl
Katrin Falkenberg
Markus Vogelbruch
Alexander Kapp
author_sort Peter Kiehl
title Quantification of Eosinophilic Granule Protein Deposition in Biopsies of Inflammatory Skin Diseases by Automated Image Analysis of Highly Sensitive Immunostaining
title_short Quantification of Eosinophilic Granule Protein Deposition in Biopsies of Inflammatory Skin Diseases by Automated Image Analysis of Highly Sensitive Immunostaining
title_full Quantification of Eosinophilic Granule Protein Deposition in Biopsies of Inflammatory Skin Diseases by Automated Image Analysis of Highly Sensitive Immunostaining
title_fullStr Quantification of Eosinophilic Granule Protein Deposition in Biopsies of Inflammatory Skin Diseases by Automated Image Analysis of Highly Sensitive Immunostaining
title_full_unstemmed Quantification of Eosinophilic Granule Protein Deposition in Biopsies of Inflammatory Skin Diseases by Automated Image Analysis of Highly Sensitive Immunostaining
title_sort quantification of eosinophilic granule protein deposition in biopsies of inflammatory skin diseases by automated image analysis of highly sensitive immunostaining
publisher Hindawi Limited
series Analytical Cellular Pathology
issn 0921-8912
1878-3651
publishDate 1999-01-01
description Eosinophilic granulocytes are major effector cells in inflammation. Extracellular deposition of toxic eosinophilic granule proteins (EGPs), but not the presence of intact eosinophils, is crucial for their functional effect in situ. As even recent morphometric approaches to quantify the involvement of eosinophils in inflammation have been only based on cell counting, we developed a new method for the cell‐independent quantification of EGPs by image analysis of immunostaining. Highly sensitive, automated immunohistochemistry was done on paraffin sections of inflammatory skin diseases with 4 different primary antibodies against EGPs. Image analysis of immunostaining was performed by colour translation, linear combination and automated thresholding. Using strictly standardized protocols, the assay was proven to be specific and accurate concerning segmentation in 8916 fields of 520 sections, well reproducible in repeated measurements and reliable over 16 weeks observation time. The method may be valuable for the cell‐independent segmentation of immunostaining in other applications as well.
url http://dx.doi.org/10.1155/1999/735075
work_keys_str_mv AT peterkiehl quantificationofeosinophilicgranuleproteindepositioninbiopsiesofinflammatoryskindiseasesbyautomatedimageanalysisofhighlysensitiveimmunostaining
AT katrinfalkenberg quantificationofeosinophilicgranuleproteindepositioninbiopsiesofinflammatoryskindiseasesbyautomatedimageanalysisofhighlysensitiveimmunostaining
AT markusvogelbruch quantificationofeosinophilicgranuleproteindepositioninbiopsiesofinflammatoryskindiseasesbyautomatedimageanalysisofhighlysensitiveimmunostaining
AT alexanderkapp quantificationofeosinophilicgranuleproteindepositioninbiopsiesofinflammatoryskindiseasesbyautomatedimageanalysisofhighlysensitiveimmunostaining
_version_ 1725468993444118528