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Automated Processing and Evaluation of Anti-Nuclear Antibody Indirect Immunofluorescence Testing

Overview of attention for article published in Frontiers in immunology, May 2018
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Title
Automated Processing and Evaluation of Anti-Nuclear Antibody Indirect Immunofluorescence Testing
Published in
Frontiers in immunology, May 2018
DOI 10.3389/fimmu.2018.00927
Pubmed ID
Authors

Vincent Ricchiuti, Joseph Adams, Donna J. Hardy, Alexander Katayev, James K. Fleming

Abstract

Indirect immunofluorescence (IIF) is considered by the American College of Rheumatology (ACR) and the international consensus on ANA patterns (ICAP) the gold standard for the screening of anti-nuclear antibodies (ANA). As conventional IIF is labor intensive, time-consuming, subjective, and poorly standardized, there have been ongoing efforts to improve the standardization of reagents and to develop automated platforms for assay incubation, microscopy, and evaluation. In this study, the workflow and performance characteristics of a fully automated ANA IIF system (Sprinter XL, EUROPattern Suite, IFA 40: HEp-20-10 cells) were compared to a manual approach using visual microscopy with a filter device for single-well titration and to technologist reading. The Sprinter/EUROPattern system enabled the processing of large daily workload cohorts in less than 8 h and the reduction of labor hands-on time by more than 4 h. Regarding the discrimination of positive from negative samples, the overall agreement of the EUROPattern software with technologist reading was higher (95.6%) than when compared to the current method (89.4%). Moreover, the software was consistent with technologist reading in 80.6-97.5% of patterns and 71.0-93.8% of titers. In conclusion, the Sprinter/EUROPattern system provides substantial labor savings and good concordance with technologist ANA IIF microscopy, thus increasing standardization, laboratory efficiency, and removing subjectivity.

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Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 21%
Other 5 12%
Researcher 4 9%
Student > Master 4 9%
Student > Ph. D. Student 3 7%
Other 6 14%
Unknown 12 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 23%
Medicine and Dentistry 9 21%
Immunology and Microbiology 4 9%
Agricultural and Biological Sciences 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 4 9%
Unknown 12 28%