18 assays found tagged with ELISA

Linear Quantification

Calculates the concentration of samples from a calibration curve of the standards plotted against their absorbance values. The concentration for each well is calculated from the absorbance value, constants from the linear regression and the specified dilution factors. y-int and slope are obtained from the log-regression fit of the calibration data. Measurements outside the range of the standards are highlighted in yellow.

Cytokines in mouse sera ELISA

Determines titers of antibodies generated by immunization. In some samples there is a cross-reacting, non-specific antibody present in the serum before immunization (pre-immune Serum). This non-specific signal is subtracted out using a pool of non-immune serum. Corrected Antibody dilution curves are calculated for each unknown and used to find the dilution at a specified % of Pos Control.

Luteinizing Hormone (LH) ELISA

Calculates the concentration of unknown LH in human serum samples from a calibration curve of the standards plotted against absorbance measurements at 450nm. Sample measurements are blank corrected.

ADMA ELISA

Enzyme Immunoassay (EIA) for the quantitative determination of endogenous asymmetric dimethylarginine (ADMA) in serum or plasma.

Linear Regression

Quantitative analysis of samples using linear regression. All samples are first corrected by the mean of the blank group measurements. The standard data points are plotted (concentration vs. corrected measurement) and linear regression is applied to these points. The concentrations of the unknown samples are determined from the fit.

TRAb

Quantitative determination of TSHR autoantibodies in human serum using a Cubic Spline for calculation of TRAb concentrations. Raw absorbance measurements at 450nm are first corrected by the mean of the blank group measurements. The standard data points are plotted (concentration vs. corrected) and a Cubic Spline is applied to these points. The concentrations of the unknown samples are determined from the fit. Samples outside the range of the standards are marked as < 0.4 or > 30 accordingly.

HIV-1 p24

Quantitation of HIV-1 p24 core antigen (HIV-1 p24) in human serum or plasma and in cell culture supernatant. The ratio of the raw data measured at 490nm and 650nm is first calculated. These values are then blank corrected by the mean of the blank wells. The corrected values are plotted against the specified concentration values. The concentration of HIV-1 p24 for each sample is determined using linear regression.

Linear Regression with Zero Standard

Quantitative analysis of samples using linear regression on adjusted measurements. All samples are first corrected by the mean of the measurements of Standard1. The standard data points are plotted (concentration vs. adjusted measurement) and linear regression is applied to these points. The concentrations of the unknown samples are determined from the fit.

TNFα Blocker Monitoring ELISA

Enzyme immunoassay for the quantitative determination of free therapeutic anti-TNF alpha antibodies (e.g. Infliximab/Remicade) in EDTA-plasma and serum. This method plots raw measurements of the standards versus concentration using linear (y) and log (x) axes and performs a 4-parameter logistic fit. Concentrations of samples (µg/ml) are determined from the fit and any specified dilution factors are applied.

Single Analyte ELISArray

Quantitative measurement of the amount of an individual cytokine or chemokine using ELISA in multiple samples. This method subtracts the mean of the blank replicates (background absorbance) from all of the samples. The corrected absorbance is plotted against the standards concentrations on a log-log graph for a seven-point standard curve. Linear regression is used to find the best straight-line through the standards and used to determine the concentration of the unknowns. An optional dilution factor is applied.
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