Influenza Detection
Influenza Detection - Related Videos
10:05
High-throughput Detection Method for Influenza Virus
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Cited by 8 •
2012
This method describes the use of Infrared dye based imaging system for detection of H1N1 in bronchioalveolar lavage (BAL) fluid of infected mice at a high sensitivity. This methodology can be performed in a 96- or 384-well plate, requires <10 μl volume of test material and has the potential for concurrent screening of multiple pathogens.
09:32
ampliPHOX Colorimetric Detection on a DNA Microarray for Influenza
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Cited by 4 •
2011
ampliPHOX colorimetric detection technology is presented as an inexpensive alternative to fluorescence detection for microarrays. Based on photopolymerization, ampliPHOX produces solid polymer spots visible to the naked eye in just a few minutes. Results are then imaged and automatically interpreted with a simple yet powerful software package.
09:43
Microfluidic Chip Fabrication and Method to Detect Influenza
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Cited by 6 •
2013
An integrated microfluidic thermoplastic chip has been developed for use as a molecular diagnostic. The chip performs nucleic acid extraction, reverse transcriptase, and PCR. Methods for fabricating and running the chip are described.
05:59
Nasal Wipes for Influenza A Virus Detection and Isolation from Swine
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Cited by 19 •
2015
The authors present a protocol to collect swine nasal wipes to detect and isolate influenza A viruses.
09:31
Fluorescence-based Neuraminidase Inhibition Assay to Assess the Susceptibility of Influenza Viruses to The Neuraminidase Inhibitor Class of Antivirals
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Cited by 56 •
2017
We describe the use of a phenotypic fluorescence-based neuraminidase inhibition assay to assess the susceptibility of influenza A and B viruses to the neuraminidase inhibitor class of antivirals.
FAQs
Reverse transcription polymerase chain reaction first converts influenza viral RNA into detectable DNA, then amplifies selected genetic sequences. When the assay targets subtype-specific sequences, the resulting signal can provide information about the influenza subtype as well as evidence of viral material. This molecular approach therefore supports both diagnostic identification and characterization of circulating influenza viruses.
These approaches examine different evidence of infection. Molecular assays detect amplified viral genetic material, rapid antigen tests identify influenza proteins, and serology measures antibodies produced after infection. Because each method addresses a different biological target, the results can contribute distinct perspectives to diagnosis, immunology research, and interpretation of influenza infection.
Antibodies provide evidence of the immune response associated with influenza infection rather than directly identifying viral RNA or proteins. Serologic testing therefore adds an immunologic dimension to detection, complementing methods that examine the virus itself. This distinction is valuable when research focuses on how infection stimulates antibody production and how immune evidence relates to influenza studies.
The workflow begins with a clinical specimen and selection of an appropriate detection approach. Molecular testing can reverse-transcribe viral RNA and amplify subtype-specific sequences, whereas antigen testing examines viral proteins and serology measures infection-associated antibodies. The resulting evidence can then support diagnosis, distinguish influenza from other respiratory illnesses, or contribute to surveillance and research.
Influenza detection supports public health decisions by helping monitor circulating strains and identify patterns associated with outbreaks. These findings extend the value of testing from patient management to population-level surveillance. Detection data also inform vaccine-strain selection, linking laboratory evidence from clinical specimens with broader efforts to track and respond to changing influenza activity.
In immunology and infection research, detection methods connect viral evidence with host-response measurements. Molecular and antigen approaches examine the virus, while serology measures antibodies produced after infection. Together, these data can help distinguish influenza from other respiratory illnesses, support antiviral research, and clarify how diagnostic findings relate to infection and immune responses.