Skip to main page content
Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
, 302, 117-32

Image Analysis and Data Management of ELISPOT Assay Results

Affiliations

Image Analysis and Data Management of ELISPOT Assay Results

Paul Viktor Lehmann. Methods Mol Biol.

Abstract

The recent renaissance of enzyme-linked immunospot (ELISPOT) assays largely is the result of advances in image analysis. Information on the frequency of antigen-specific T-cells and also on the secretion rate of the individual cells is captured in spots generated using this technique. Although the overall assessment of ELISPOT results can be conducted visually, this is inevitably subjective, inaccurate, and cumbersome. In contrast, objective, and accurate measurements are fundamental to good science. Validated image analysis algorithms and procedures, therefore, have become critical for elevating the quality of ELISPOT assays results. As cytokine and granzyme B ELISPOT assays become the gold standard for monitoring antigen-specific T-cell immunity in clinical trials, the pressure increases to make ELISPOT analysis transparent, reproducible and tamperproof, complying with Good Laboratory Practice and Code for Federal Regulations Part 11 guidelines. In addition, ELISPOT assays in clinical and basic science settings frequently require high degrees of throughput, thus further raising the need for advanced data management and statistical analysis. The ImmunoSpot software portfolio has been specifically designed to meet all these needs, using the techniques described in this chapter.

Similar articles

See all similar articles

Cited by 11 articles

See all "Cited by" articles

MeSH terms

LinkOut - more resources

Feedback