Related Experiment Video
Updated: Mar 3, 2026
Anti-Nuclear Antibody Screening Using HEp-2 Cells
Published on: June 23, 2014
Automated antinuclear immunofluorescence antibody analysis is a reliable approach in routine clinical laboratories
Bing Zheng1, Enling Li1, Haoming Zhu1
1.
Insights
This study found that an automated indirect immunofluorescence (IIF) system for antinuclear antibody (ANA) detection showed high agreement with manual microscopy. Custom cutoffs improved titer prediction accuracy, but expert confirmation remains crucial for reliable ANA testing.
Area of Science:
- Immunology
- Clinical Chemistry
- Medical Diagnostics
Background:
- Indirect immunofluorescence (IIF) assays are the gold standard for detecting antinuclear antibodies (ANAs).
- Evaluating the reliability of automated systems is crucial for modern diagnostic laboratories.
Purpose of the Study:
- To assess the reliability of an automated system for antinuclear antibody (ANA) detection using indirect immunofluorescence (IIF).
- To compare automated image analysis with manual microscopy for ANA pattern interpretation and titer prediction.
Main Methods:
- Compared 3745 serum samples using NOVA View digital images against manual microscopy.
- Established and validated a custom cutoff value for ANA titer discrimination.
- Evaluated automatic ANA pattern recognition and compared results with commercial ANA IIF kits.
Main Results:
- Achieved 96.9% agreement between the automated system and manual microscopy for ANA IIF interpretation.
- Demonstrated superior titer prediction accuracy with a custom cutoff value in one laboratory.
- Reported varying accuracies for automatic pattern recognition, with centromere pattern being the highest at 92.6%.
Conclusions:
- Establishing custom cutoff values enhances the reliability of automated ANA testing.
- Expert technician confirmation of digital immunofluorescence images is essential.
- Reconfirmation with alternative commercial ANA IIF kits is recommended for ambiguous or suspect results.
Background:
Indirect immunofluorescence (IIF) assays are recommended as the gold standard method for the detection of antinuclear antibodies (ANAs). This study aimed to investigate the reliability of an automated system.
Methods:
We compared 3745 serum samples using NOVA View archived images with manual analysis via microscopy. A custom cutoff value was established to distinguish ANA titers and was validated in two clinical laboratories. The automatic ANA pattern recognition system was evaluated, and all ANA-positive sera were subjected to two commercial ANA IIF kits to compare the consistency of the pattern interpretation results. For inconsistent patterns, a third ANA IIF testing kit was utilized.
Results:
Agreement of the interpretation of the ANA IIF test using the platform of NOVA View and manual microscopy was 96.9%. The local cutoff value to discriminate ANA titers in four main ANA patterns was calculated based on 1390 serum samples. In our laboratory, the titer prediction accuracy was superior to the preset cutoff in NOVA View (p<0.01); the performance was similar in another laboratory (p=0.11). The automatic pattern recognition accuracies of speckled, homogeneous, centromere, nucleolar and nuclear dot patterns were 62.7%, 57.4%, 92.6%, 30.5% and 27.3%, respectively. The consistency of the pattern interpretation results between INOVA and MBL kits was 95.3%.
Conclusions:
It is necessary to establish a custom value-added ANA report. However, confirmation of the digital immunofluorescence images by expert technicians was essential, and suspect results of an ANA pattern should be reconfirmed by another commercial ANA IIF kit to achieve more reliable results.
