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Updated: May 25, 2026

High-throughput Detection Method for Influenza Virus

High-throughput Detection Method for Influenza Virus

Published on: February 4, 2012

High-throughput detection method for influenza virus.

Pawan Kumar¹, Allison E Bartoszek, Thomas M Moran

¹Laboratory of Molecular Immunology and Immunotherapy, Blood Research Institute.

Journal of Visualized Experiments : Jove

|February 15, 2012

Summary

A novel near-infrared (IR) dye-based assay accurately detects and quantifies live influenza viruses. This sensitive diagnostic method offers rapid, high-throughput screening for influenza strains, improving pandemic control efforts.

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Area of Science:

Virology
Diagnostic Assays
Immunofluorescence

Background:

Influenza virus causes significant global morbidity and mortality annually.
Accurate influenza strain diagnosis and rapid high-throughput screening are crucial for pandemic control.
Current diagnostic methods include serologic testing, PCR, immunofluorescence, and cell culture.

Purpose of the Study:

To develop and validate a novel diagnostic technique for detecting and quantifying live influenza viruses.
To assess the efficacy of a near-infrared (IR) dye-based assay using anti-M2 antibody.
To establish a sensitive and rapid method for influenza virus detection in clinical samples.

Main Methods:

MDCK cells were infected with mouse-adapted human A/PR/8/34 (PR8, H1N1) influenza virus.

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Last Updated: May 25, 2026

High-throughput Detection Method for Influenza Virus

High-throughput Detection Method for Influenza Virus

Published on: February 4, 2012

Microfluidic Chip Fabrication and Method to Detect Influenza

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Rapid Molecular Detection and Differentiation of Influenza Viruses A and B

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Published on: January 30, 2017

Viral proteins (M2) were detected using an anti-M2 antibody and an IR dye-conjugated secondary antibody.

Fluorescence intensity was measured using a LI-COR Odyssey-based IR scanner for viral quantification.

Main Results:

A strong positive correlation was observed between fluorescence intensity and PR8 viral titers (10^2-10^5 PFU).
The assay demonstrated high sensitivity, detecting low viral titers (10^2-10^3 PFU).
Standard titration curves were constructed, showing a polynomial relationship between viral titers and fluorescence intensity.

Conclusions:

The developed IR dye-based protein detection system is effective for diagnosing infecting viral strains.
The assay precisely enumerates the titer of infecting influenza pathogens.
This novel technique offers a sensitive, rapid, and high-throughput solution for influenza diagnostics.