### 5 assays found tagged with AlphaLISA

Quantitative analysis of samples using a Four Parameter Logistic (4PL) curve fit with 1/Y² data weighting in accordance with kit instructions. The standard data points (concentration vs. measurement) are plotted on log axes and a 4PL is fit through the points. The concentrations of the samples are determined from the fit with any specified dilution factors applied. The LDL is calculated by interpolating the average background counts (12 wells without analyte) + 3 x standard deviation value (average background counts + (3xSD)) on the standard curve. The %CV, Standard Deviation and Standard Error are calculated for each replicated sample. Samples outside the range of the standards or the fit (greater than the upper asymptote or below than the lower asymptote) are highlighted in yellow.

Quantitative analysis of samples using a Four Parameter Logistic (4PL) curve fit with 1/Y² data weighting in accordance with kit instructions. The standard data points (concentration vs. measurement) are plotted on log axes and a 4PL is fit through the points. The concentrations of the samples are determined from the fit with any specified dilution factors applied. The LDL is calculated by interpolating the average background counts (12 wells without analyte) + 3 x standard deviation value (average background counts + (3xSD)) on the standard curve. The %CV, Standard Deviation and Standard Error are calculated for each replicated sample. Samples outside the range of the standards or the fit (greater than the upper asymptote or below than the lower asymptote) are highlighted in yellow.

Quantitative analysis of samples using a Four Parameter Logistic (4PL) curve fit with 1/Y² data suitable for AlphaLISA kits. The standard data points (concentration vs. measurement) are plotted on log axes and a 4PL is fit through the points. The concentrations of the samples are determined from the fit with any specified dilution factors applied. The LDL is calculated by interpolating the average background counts (12 wells without analyte) + 3 x standard deviation value (average background counts + (3xSD)) on the standard curve. The %CV, Standard Deviation and Standard Error are calculated for each replicated sample. Samples outside the range of the standards or the fit (greater than the upper asymptote or below than the lower asymptote) are highlighted in yellow. (Click here for an enhanced version of this tool.)

Quantitative analysis of samples using a Four Parameter Logistic (4PL) curve fit with 1/Y² data suitable for AlphaLISA kits. The standard data points (concentration vs. measurement) are plotted on log axes and a 4PL is fit through the points. The concentrations of the samples are determined from the fit with any specified dilution factors applied. The LDL is calculated by interpolating the average background counts (12 wells without analyte) + 3 x standard deviation value (average background counts + (3xSD)) on the standard curve. The %CV, Standard Deviation and Standard Error are calculated for each replicated sample. Samples outside the range of the standards or the fit (greater than the upper asymptote or below than the lower asymptote) are highlighted in yellow.

Quantitative analysis of samples using a Four Parameter Logistic (4PL) curve fit with 1/Y² data suitable for AlphaLISA kits. The standard data points (concentration vs. measurement) are plotted on log axes and a 4PL is fit through the points. The concentrations of the samples are determined from the fit with any specified dilution factors applied. The LDL is calculated by interpolating the average background counts (12 wells without analyte) + 3 x standard deviation value (average background counts + (3xSD)) on the standard curve. The %CV, Standard Deviation and Standard Error are calculated for each replicated sample. Samples outside the range of the standards or the fit (greater than the upper asymptote or below than the lower asymptote) are highlighted in yellow.