[HTML][HTML] Absorbance summation: A novel approach for analyzing high-throughput ELISA data in the absence of a standard
We have developed a very simple method, termed absorbance summation (AS), for
comparing protein concentrations between samples in ELISA assays without a standard.
This method sums the observed absorbance values from all dilutions to obtain one data
point for each sample to be used for comparison. AS is less computationally intensive than
fitting sigmoidal curves, and it avoids the difficulty of parameter estimation for samples with
absorbance values lying primarily at the lower tail of the curve. Our simulation studies …
comparing protein concentrations between samples in ELISA assays without a standard.
This method sums the observed absorbance values from all dilutions to obtain one data
point for each sample to be used for comparison. AS is less computationally intensive than
fitting sigmoidal curves, and it avoids the difficulty of parameter estimation for samples with
absorbance values lying primarily at the lower tail of the curve. Our simulation studies …
We have developed a very simple method, termed absorbance summation (AS), for comparing protein concentrations between samples in ELISA assays without a standard. This method sums the observed absorbance values from all dilutions to obtain one data point for each sample to be used for comparison. AS is less computationally intensive than fitting sigmoidal curves, and it avoids the difficulty of parameter estimation for samples with absorbance values lying primarily at the lower tail of the curve. Our simulation studies showed that it performs much better than the sigmoidal curve fitting method and the conventional endpoint titer method. The power of this simple method is as high as the formal curve fitting followed by the estimation of area under the curve (AUC).
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