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Related Experiment Videos

Data analysis for a dual-channel virus counter.

Carrie L Stoffel1, Kathy L Rowlen

  • 1Department of Chemistry and Biochemistry, University of Colorado, Boulder, Colorado 80309, USA.

Analytical Chemistry
|April 2, 2005
PubMed
Summary
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A new algorithm for virus counting using flow cytometry shows reliable results. This method, based on burst lag times, offers a viable alternative to traditional plaque titration for quantifying viruses.

Area of Science:

  • Biotechnology
  • Virology
  • Analytical Chemistry

Background:

  • Accurate virus quantification is crucial for research and diagnostics.
  • Traditional methods like plaque titration can be time-consuming and have limitations.
  • Flow cytometry offers a potential high-throughput alternative for particle analysis.

Purpose of the Study:

  • To present a simple algorithm for quantitative analysis of simultaneous events on a dual-channel flow cytometer.
  • To adapt flow cytometry for specific virus counting applications.
  • To evaluate the algorithm's performance against a standard method.

Main Methods:

  • Development of a novel algorithm based on matrix analysis of burst lag times.
  • Utilizing a dual-channel flow cytometer designed for virus counting.

Related Experiment Videos

  • Validation using baculovirus samples previously quantified by plaque titration.
  • Main Results:

    • The algorithm demonstrated statistical reliability in virus quantification.
    • Three out of six samples showed agreement with plaque titer results within error margins.
    • The remaining three samples yielded results within a factor of approximately 2, considered acceptable.

    Conclusions:

    • The presented algorithm is a statistically reliable method for virus quantification using flow cytometry.
    • This approach offers a practical and potentially more efficient alternative to plaque titration.
    • The algorithm's performance is acceptable, considering the inherent limitations of the plaque titer method.