### Most popular assay tools:

Quantitative analysis of samples using a Four Parameter Logistic (4PL) curve fit suitable for calculating concentrations from symmetrical sigmoidal calibrators. This method is widely used and cited in data analysis for typical ELISAs. This analysis optionally includes a background correction step. If a blank group is included on your layout, the mean of the blank replicates is first subtracted from the raw data measurements (the corrected values are then used in the fit). The standard data points (concentration vs. measurement) are plotted on semi-log axes and a 4PL is made through the points. The concentrations of the samples are determined from the fit with any specified dilution factors applied. Note, the concentration units are unspecified; use whichever units are applicable for your standards (the calculated concentrations will use these same unspecified units). 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 the lower asymptote) are highlighted in yellow.

### All available:

Quantitative analysis of samples using a linear standard curve to calculate the concentration of (1,3)-ß-D-glucan in the unknowns. The %CV, Standard Deviation and Standard Error are calculated for each replicated sample. Samples outside the range of the standards are highlighted in yellow.

Enzyme immunoassay (EIA) for the quantification of 11Β Prostaglandin F_{2α}. This method plots %B/B0 for the standards versus 11Β PGF_{2α} concentration using linear (y) and log (x) axes and performs a 4-parameter logistic fit. Sample positions with %B/B0 values greater than 80% or less than 20% are highlighted in yellow. These samples should be re-assayed as they generally fall out of the linear range of the standard curve.

Enzyme immunoassay (EIA) for the quantification of 11-dehydro Thromboxane B_{2} - Monoclonal. This method plots %B/B0 for the standards versus 11-dehydro TXB_{2} concentration using linear (y) and log (x) axes and performs a 4-parameter logistic fit. Sample positions with %B/B0 values greater than 80% or less than 20% are highlighted in yellow. These samples should be re-assayed as they generally fall out of the linear range of the standard curve.

Enzyme immunoassay (EIA) for the quantification of 11-keto Testosterone. This method plots %B/B0 for the standards versus 11KT concentration using linear (y) and log (x) axes and performs a 4-parameter logistic fit. Sample positions with %B/B0 values greater than 80% or less than 20% are highlighted in yellow. These samples should be re-assayed as they generally fall out of the linear range of the standard curve.

Enzyme immunoassay (EIA) for the quantification of 13,14-dihydro-15-keto Prostaglandin F_{2a}. This method plots %B/B0 for the standards versus 13,14-dihydro-15-keto Prostaglandin F_{2a} concentration using linear (y) and log (x) axes and performs a 4-parameter logistic fit. Sample positions with %B/B0 values greater than 80% or less than 20% are highlighted in yellow. These samples should be re-assayed as they generally fall out of the linear range of the standard curve.

Enzyme immunoassay (EIA) for the quantification of 15(S)-HETE. This method plots %B/B0 for the standards versus 15(S)-HETE concentration using linear (y) and log (x) axes and performs a 4-parameter logistic fit. Sample positions with %B/B0 values greater than 80% or less than 20% are highlighted in yellow. These samples should be re-assayed as they generally fall out of the linear range of the standard curve.

Competitive immunoassay for the quantitative determination of 17ß-Estradiol in biological and environmental samples. This method plots %B/B0 for the standards versus 17ß-Estradiol concentration using linear (y) and log (x) axes and performs a 4-parameter logistic fit. Concentrations of samples (pg/mL) are determined from the fit and any specified dilution factors are applied.

Quantitative EIA for the determination of 25-hydroxyvitamin D (25-OH D) and other hydroxylated metabolites in human serum or plasma. This method calculates the percentage binding B/B0% of each sample from the zero calibrator (Standard1). A calibration curve is prepared on semi-log axes plotting B/B0% against concentration values with a Four Parameter Logistic curve (4PL) fitted through the data. The the nmol/L is calculated for each sample with specified dilution factor values applied. Supply your absorbance data as reference corrected (i.e. measured at 450nm with reference measured at 650nm).

Competitive protein binding assay for the quantification of 25-OH Vitamin D. A dose response curve of the blank corrected absorbance unit vs. concentration is generated using a 4-parameter logistic fit. Concentrations of 25-OH Vitamin D, present in the samples, are determined directly from this curve with any specified dilution factors applied.

This data analysis tool calculates concentrations using a Four Parameter Logistic (4PL) curve fit in accordance with DIAsource's 25OH Vitamin D Total ELISA kit. The standard data points are plotted (concentration vs. OD) on semi-log axes and a 4PL curve is fitted through these points. The concentrations of the unknown samples are determined from the fit and any specified dilution factors are applied. 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 the lower asymptote) are highlighted in yellow.