Related Experiment Video
Updated: Feb 7, 2026
07:21
Automated, High-Throughput Detection of Bacterial Adherence to Host Cells
Published on: September 17, 2021
4.0K
Antinuclear antibodies detection: A comparative study between automated recognition and conventional visual
ZhiYan Li1, RuiLin Han1, ZhenLin Yan1
1Department of Clinical Laboratory, Peking University First Hospital, Beijing, China.
Journal of Clinical Laboratory Analysis
|July 22, 2018
Summary
This study validates an automated indirect immunofluorescence assay (IIFA) system for antinuclear antibody (ANA) detection. The EUROPattern system shows high accuracy in positive/negative classification, pattern recognition, and titer evaluation, making it suitable for clinical use.
Area of Science:
- Immunology
- Medical Diagnostics
- Automation in Healthcare
Background:
- Indirect immunofluorescence assay (IIFA) is the reference method for antinuclear antibody (ANA) screening since 1958.
- Automated systems offer standardized and efficient ANA interpretation using human epithelial (HEp-2) cells.
Purpose of the Study:
- To evaluate the performance of a novel automated system (EUROPattern Suite) for ANA detection.
- To compare automated interpretation with visual interpretation for positive/negative classification, pattern recognition, and titer evaluation.
Main Methods:
- The study involved 3681 collected samples.
- Performance was assessed by comparing automated results to visual interpretation.
- Key metrics included positive/negative agreement, pattern recognition accuracy, and titer consistency.
Main Results:
- High agreement (98.7%) between automated and visual methods for positive/negative discrimination.
- Accurate recognition of single ANA patterns in 94.6% of samples.
- Titer consistency within one dilution in 94.4% of positive samples.
Conclusions:
- The EUROPattern system demonstrates high reliability and accuracy for ANA detection.
- Its automation and consistent results support its suitability for clinical laboratory use.
- The system can aid in standardizing indirect immunofluorescence evaluation.
Related Concept Videos
01:30Sign Convention
3.5K
When analyzing a beam subjected to various loads, it is crucial to understand the internal forces and moments generated within the structure. These internal forces can be broadly classified into normal forces, shear forces, and bending moments. To determine these forces and moments, we use the method of sections and apply a specific sign convention based on their direction and the side of the section being analyzed.
The normal force acts perpendicular to the beam's cross-section and can...
The normal force acts perpendicular to the beam's cross-section and can...
3.5K
01:22Interpreting R Charts
359
R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
359
01:15Enolate Mechanism Conventions
2.9K
When a carbonyl compound is treated with a strong base, the α position gets deprotonated to give a resonance-stabilized intermediate called an enolate. Enolates are ambident nucleophiles because they possess two nucleophilic sites that can attack an electrophile owing to the delocalization of the negative charge between the α carbon and oxygen atoms. When the oxygen atom attacks an electrophile, it is called O-attack, whereas electrophilic attack via the α carbon is known as...
2.9K
01:25Interpreting Run Charts
4.0K
Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
4.0K
01:24Mass Spectrum: Interpretation
3.4K
An unknown compound can be established by identifying the molecular ion peak in the mass spectrum. The molecular ion peak is often weak or absent due to the predominance of fragmentation in high-energy electron beams. In such cases, a soft-energy electron beam can be used to scan the spectrum to enhance the intensity of the molecular ion peak. Additionally, chemical ionization, field ionization, and desorption ionization spectra are used to obtain a relatively intense molecular ion peak.To...
3.4K
01:19Interpretation of Confidence Intervals
10.1K
A confidence interval is a better estimate of the population than a point estimate, as it uses a range of values from a sample instead of a single value.
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
10.1K