AI Article Synopsis
- The traditional method for determining enzyme-linked immunospot (ELISpot) positivity relies on fixed differences or ratios between spot forming units (SFU) counts from test and control wells, without replicating the wells.
- A proposed alternative method involves using a variance-stabilizing transformation of SFU counts and identifying a positivity threshold through the differences in distributions of transformed data between test and control groups.
- This new approach is exemplified by analyzing 1309 assay results from a study on influenza in Vietnam, showcasing variations in SFU counts among different peptide pools tested.
Article Abstract
In the absence of replication of wells, empirical criteria for enzyme-linked immunospot (ELISpot) positivity use fixed differences or ratios between spot forming units (SFU) counts between test and control. We propose an alternative approach which first identifies the optimally variance-stabilizing transformation of the SFU counts, based on the Bland-Altman plot of the test and control wells. The second step is to derive a positivity threshold from the difference in between-plate distribution functions of the transformed test and control SFU counts. This method is illustrated using 1309 assay results from a cohort study of influenza in Vietnam in which some, but not all, of the peptide pools have clear tendencies for SFU counts to be higher in test than control wells.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3657161 | PMC |
| http://dx.doi.org/10.1016/j.jim.2013.02.014 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!