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Log-Normal ELISPOT spot size distribution permits count harmonization among different laboratories
  1. Srividya Sundararaman1,
  2. Alexey Karulin1,
  3. Nadine BenHamouda2,
  4. Judith Gottwein3,
  5. Sreenevas Laxmanan4,
  6. Steven Levine5,
  7. John Loffredo5,
  8. Stephanie McArdle6,
  9. Christine Neudoerfl7,
  10. Diana Roen8,
  11. Karina Silina9,
  12. Mackenzie Welch4 and
  13. Paul V Lehmann1
  1. Aff1 Cellular Technology Ltd. Shaker Hts. USA
  2. Aff2 grid.414093.bHospital Europeéen Georges Pompidou, France Paris France
  3. Aff3 grid.5254.6000000010674042XUniversity of Copenhagen Denmark
  4. Aff4 grid.417832.b0000000403848146Biogen Idec Cambridge MA USA
  5. Aff5 grid.419971.3Bristol Myers Squibb New York NY USA
  6. Aff6 grid.12361.370000000107270669Nottingham Trent University Nottingham UK
  7. Aff7 grid.10423.340000000095299877Medizinische Hochschule Hannover Germany
  8. Aff8 Pharmasan Labs Inc. Minneapolis MN USA
  9. Aff9 Biomedical Research Study Center Latvia

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Meeting abstracts


ELISPOT assays are primarily used to detect the number of T cells that respond to a given antigen. With that number being absolute for any given donor sample, ELISPOT counts should be similar between laboratories, if subjectivity in counting is avoided. Due to the differences in spot sizes ranging from microns to millimeters, setting cut offs for minimal and maximal spot sizes will lead to substantial variability between investigators when determined subjectively, irrespective of experience. In contrast, if spot size distributions would follow predictable statistical functions, objective gating decisions could be made using common standards, eliminating subjective calls of the counting process. This study aims to determine if ELISPOT size distribution follows predictable statistical distributions and therefore if ELISPOT counting can be made objective based on statistical principles.


In order to study whether spot sizes follow predictable functions, we studied the size distributions of ELISPOT assay results obtained with 24 donors and 32 individual viral peptides of Cytomegalovirus, Epstein Barr, and Influenza virus activating CD8 cells, and the CMV and EBV virions activating CD4 cells. The spot size distributions were assessed by morphometric analysis. The assay results were also analyzed by 10 different laboratories.


The analysis of antigen-elicited ELISPOT sizes for IFN-γ, IL-2, IL-4, IL-5 and IL-17 was found to exhibit a Log-Normal distribution pattern for all 24 donors, and for all CD4 and CD8 cell-derived cytokine signatures. The significance levels were over 5% according to Kolmogorov-Smirnov test. When the spot counts were established in 10 different laboratories using gating criteria established based on Log Normal distributions, the coefficient of variation (CV) of mean spot counts between different laboratories was 6.7%. In contrast, when the participating scientists set gates based on subjective assessment, the CV of mean spot counts obtained between the different laboratories was 26.7%.


For all 24 donors, 34 antigens, and for all five cytokines studied, ELISPOTs were observed to follow log normal distribution. This statistical function permits us to set upper and lower size gates automatically with a 98% confidence. Using this statistics-based approach, ten different laboratories obtained close to identical counts, as opposed to when the gates were set subjectively by the different investigators. Harmonization of accurate and objective ELISPOT counts can be accomplished based on statistical principles.