Related Experiment Video
Updated: May 26, 2026

08:05
Multiplexed Fluorometric ImmunoAssay Testing Methodology and Troubleshooting
Published on: December 12, 2011
Multiplexed fluorometric immunoassay testing methodology and troubleshooting
Michelle L Wunderlich1, Megan E Dodge, Rajeev K Dhawan
1Research Animal Diagnostic Services (RADS), Charles River.
Journal of Visualized Experiments : Jove
|January 5, 2012
Summary
A new multiplexed assay detects infectious agents in lab animals, offering a more efficient and informative alternative to traditional singleplex methods. This diagnostic strategy enhances the quality of animal models in biomedical research by improving serosurveillance accuracy.
Area of Science:
- Veterinary diagnostics
- Biomedical research quality assurance
- Infectious disease detection
Background:
- Laboratory animal quality is crucial for reliable biomedical research.
- Serological testing is the standard for monitoring animal health.
- Traditional indirect enzyme-linked immunosorbent assay (ELISA) is a singleplex method for serosurveillance.
Purpose of the Study:
- To develop advanced diagnostic testing strategies for adventitious infectious agents in animals.
- To introduce a multiplexed assay for enhanced serosurveillance.
- To improve the efficiency and accuracy of animal model quality control.
Main Methods:
- Development of a multiplexed fluorescence immunoassay (MFIA) using microspheres.
- Simultaneous detection of up to 100 assays in a single well.
- Incorporation of internal control beads (tissue control, IgG anti-test serum species immunoglobulin, IgG control) for validation.
Main Results:
- The MFIA allows for up to 100 simultaneous assays, significantly increasing information yield per well.
- Reduced requirements for serum, reagents, and disposables compared to singleplex assays.
- Internal controls ensure sample suitability and system functionality, validating results.
Conclusions:
- The MFIA represents a significant advancement in serosurveillance for laboratory animals.
- This multiplexed approach enhances diagnostic efficiency, reduces costs, and improves the reliability of animal model data.
- The validated methodology ensures higher quality animal models for biomedical research.

