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Automated Indirect Immunofluorescence Evaluation of Antinuclear Autoantibodies on HEp-2 Cells
Indirect immunofluorescence (IIF) on human epithelial (HEp-2) cells is considered as the gold standard screening method for the detection of antinuclear autoantibodies (ANA). However, in terms of automation and standardization, it has not been able to keep pace with most other analytical techniques...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3502836/ https://www.ncbi.nlm.nih.gov/pubmed/23251220 http://dx.doi.org/10.1155/2012/651058 |
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author | Voigt, Jörn Krause, Christopher Rohwäder, Edda Saschenbrecker, Sandra Hahn, Melanie Danckwardt, Maick Feirer, Christian Ens, Konstantin Fechner, Kai Barth, Erhardt Martinetz, Thomas Stöcker, Winfried |
author_facet | Voigt, Jörn Krause, Christopher Rohwäder, Edda Saschenbrecker, Sandra Hahn, Melanie Danckwardt, Maick Feirer, Christian Ens, Konstantin Fechner, Kai Barth, Erhardt Martinetz, Thomas Stöcker, Winfried |
author_sort | Voigt, Jörn |
collection | PubMed |
description | Indirect immunofluorescence (IIF) on human epithelial (HEp-2) cells is considered as the gold standard screening method for the detection of antinuclear autoantibodies (ANA). However, in terms of automation and standardization, it has not been able to keep pace with most other analytical techniques used in diagnostic laboratories. Although there are already some automation solutions for IIF incubation in the market, the automation of result evaluation is still in its infancy. Therefore, the EUROPattern Suite has been developed as a comprehensive automated processing and interpretation system for standardized and efficient ANA detection by HEp-2 cell-based IIF. In this study, the automated pattern recognition was compared to conventional visual interpretation in a total of 351 sera. In the discrimination of positive from negative samples, concordant results between visual and automated evaluation were obtained for 349 sera (99.4%, kappa = 0.984). The system missed out none of the 272 antibody-positive samples and identified 77 out of 79 visually negative samples (analytical sensitivity/specificity: 100%/97.5%). Moreover, 94.0% of all main antibody patterns were recognized correctly by the software. Owing to its performance characteristics, EUROPattern enables fast, objective, and economic IIF ANA analysis and has the potential to reduce intra- and interlaboratory variability. |
format | Online Article Text |
id | pubmed-3502836 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-35028362012-12-18 Automated Indirect Immunofluorescence Evaluation of Antinuclear Autoantibodies on HEp-2 Cells Voigt, Jörn Krause, Christopher Rohwäder, Edda Saschenbrecker, Sandra Hahn, Melanie Danckwardt, Maick Feirer, Christian Ens, Konstantin Fechner, Kai Barth, Erhardt Martinetz, Thomas Stöcker, Winfried Clin Dev Immunol Research Article Indirect immunofluorescence (IIF) on human epithelial (HEp-2) cells is considered as the gold standard screening method for the detection of antinuclear autoantibodies (ANA). However, in terms of automation and standardization, it has not been able to keep pace with most other analytical techniques used in diagnostic laboratories. Although there are already some automation solutions for IIF incubation in the market, the automation of result evaluation is still in its infancy. Therefore, the EUROPattern Suite has been developed as a comprehensive automated processing and interpretation system for standardized and efficient ANA detection by HEp-2 cell-based IIF. In this study, the automated pattern recognition was compared to conventional visual interpretation in a total of 351 sera. In the discrimination of positive from negative samples, concordant results between visual and automated evaluation were obtained for 349 sera (99.4%, kappa = 0.984). The system missed out none of the 272 antibody-positive samples and identified 77 out of 79 visually negative samples (analytical sensitivity/specificity: 100%/97.5%). Moreover, 94.0% of all main antibody patterns were recognized correctly by the software. Owing to its performance characteristics, EUROPattern enables fast, objective, and economic IIF ANA analysis and has the potential to reduce intra- and interlaboratory variability. Hindawi Publishing Corporation 2012 2012-11-11 /pmc/articles/PMC3502836/ /pubmed/23251220 http://dx.doi.org/10.1155/2012/651058 Text en Copyright © 2012 Jörn Voigt et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Voigt, Jörn Krause, Christopher Rohwäder, Edda Saschenbrecker, Sandra Hahn, Melanie Danckwardt, Maick Feirer, Christian Ens, Konstantin Fechner, Kai Barth, Erhardt Martinetz, Thomas Stöcker, Winfried Automated Indirect Immunofluorescence Evaluation of Antinuclear Autoantibodies on HEp-2 Cells |
title | Automated Indirect Immunofluorescence Evaluation of Antinuclear Autoantibodies on HEp-2 Cells |
title_full | Automated Indirect Immunofluorescence Evaluation of Antinuclear Autoantibodies on HEp-2 Cells |
title_fullStr | Automated Indirect Immunofluorescence Evaluation of Antinuclear Autoantibodies on HEp-2 Cells |
title_full_unstemmed | Automated Indirect Immunofluorescence Evaluation of Antinuclear Autoantibodies on HEp-2 Cells |
title_short | Automated Indirect Immunofluorescence Evaluation of Antinuclear Autoantibodies on HEp-2 Cells |
title_sort | automated indirect immunofluorescence evaluation of antinuclear autoantibodies on hep-2 cells |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3502836/ https://www.ncbi.nlm.nih.gov/pubmed/23251220 http://dx.doi.org/10.1155/2012/651058 |
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