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Updated: Jun 6, 2026

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High-throughput Detection of Respiratory Pathogens in Animal Specimens by Nanoscale PCR
Published on: November 28, 2016
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Implementation of a Laboratory-Developed Test for the Diagnosis of Mycoplasma pneumoniae Using a High-Throughput
Valeria Conciatori1, Sarah Di Sopra1, Elisa Franchin1,2
1Department of Molecular Medicine, University of Padua, 35121 Padua, Italy.
Pathogens (Basel, Switzerland)
|July 30, 2025
Summary
Accurate diagnosis of Mycoplasma pneumoniae pneumonia is vital. An automated Panther Fusion system provides reliable, sensitive, and rapid detection, improving respiratory infection surveillance and patient care.
Area of Science:
- Clinical microbiology
- Molecular diagnostics
- Infectious disease epidemiology
Background:
- Mycoplasma pneumoniae causes atypical pneumonia in all age groups.
- Conventional diagnostic methods have limitations in speed, sensitivity, and specificity.
- Real-time PCR offers a more reliable and rapid diagnostic approach.
Purpose of the Study:
- To adapt and validate an in-house real-time PCR assay for Mycoplasma pneumoniae on the automated Panther Fusion system.
- To evaluate the performance characteristics of the adapted assay.
- To assess the utility of the Panther Fusion system for respiratory pathogen surveillance.
Main Methods:
- Validation using artificial samples, external quality controls, and patient samples.
- Performance evaluation included precision, sensitivity, linearity, and analytical sensitivity.
- Comparison with the original in-house real-time PCR assay.
Main Results:
- The Panther Fusion system showed a broad dynamic range (16-1.6 × 10^7 copies/reaction).
- A 94% correlation and 100% concordance were observed with the in-house assay.
- Comparable sensitivity was achieved (46 copies/mL vs. 25 copies/mL).
Conclusions:
- The automated Panther Fusion system is a valuable platform for accurate Mycoplasma pneumoniae detection.
- This adaptation enhances automation and throughput for respiratory pathogen surveillance.
- The system improves the efficiency of diagnosing Mycoplasma pneumoniae infections in clinical settings.

