Evaluating ELISPOT summary measures with criteria for obtaining reliable estimates

When assays are conducted over a range of effector cell concentrations for each individual, the theoretical linearity assumption of the regression model is often violated and can result in biased estimates. In this case, nonlinear models provide more accurate estimation. Collecting data over a range of concentrations allows reassessment of the optimal cell concentration after the data are generated.