An evaluation of five commercial immunoassay data analysis software systems

Area of Science:

• Biochemistry
• Medical Technology
• Data Science

Background:

• Commercial software is widely used for immunoassay data analysis.
• Numerous software systems exist, but their reliability and ease of use can vary.
• Accurate data analysis is critical for reliable immunoassay results.

Purpose of the Study:

• To evaluate the deficiencies of five commercial software systems for immunoassay data analysis.
• To assess the usability and accuracy of statistical outputs, particularly with the four-parameter calibration model.
• To provide recommendations for improving software functionality and data analysis practices.

Main Methods:

• Five commercial immunoassay data analysis software systems were evaluated.
• Multiple data sets were analyzed using a four-parameter calibration function in each system.
• Results were compared against an independent analysis method to assess accuracy and consistency.

Main Results:

• Significant deficiencies were identified across the evaluated software systems.
• Poor documentation frequently compromised the utility of statistical outputs.
• Comparable results were achieved across systems, but multiple analysis attempts were often required.
• Difficulty in monitoring software options increases the risk of obtaining incorrect results without comparison analyses.

Conclusions:

• Commercial immunoassay software requires improvement in functionality and documentation.
• Users must employ comparison analyses to validate results and mitigate risks of errors.
• The four-parameter calibration model is a viable option, but its implementation needs careful monitoring within software.