Unknown

Dataset Information

0

Defining ELISpot cut-offs from unreplicated test and control wells.


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.

SUBMITTER: Alexander N 

PROVIDER: S-EPMC3657161 | biostudies-literature | 2013 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

Defining ELISpot cut-offs from unreplicated test and control wells.

Alexander Neal N   Fox Annette A   Lien Vu Thi Kim VT   Dong Tao T   Lee Laurel Yong-Hwa LY   Hang Nguyen Le Khanh Nle K   Mai Le Quynh le Q   Horby Peter P  

Journal of immunological methods 20130307 1-2


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 fu  ...[more]

Similar Datasets

| S-EPMC11233002 | biostudies-literature
| S-EPMC5842310 | biostudies-literature
| S-EPMC9641784 | biostudies-literature
| S-EPMC4712906 | biostudies-other
| S-EPMC3198431 | biostudies-literature
| S-EPMC7544084 | biostudies-literature
| S-EPMC8371731 | biostudies-literature
| S-EPMC5344738 | biostudies-literature
| S-EPMC10246880 | biostudies-literature
| S-EPMC9056451 | biostudies-literature