7 assays found tagged with Invitrogen
Quantitative analysis of samples using a Four Parameter Logistic curve fit (4PL) suitable for calculating concentrations of IgG1 in accordance with Invitrogen Human IgG Subclass Profile ELISA Kit (Catalog #: 99-1000). 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 log-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 %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 curve fit (4PL) suitable for calculating concentrations of IgG2 in accordance with Invitrogen Human IgG Subclass Profile ELISA Kit (Catalog #: 99-1000). 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 log-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 %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 curve fit (4PL) suitable for calculating concentrations of IgG3 in accordance with Invitrogen Human IgG Subclass Profile ELISA Kit (Catalog #: 99-1000). 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 log-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 %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 curve fit (4PL) suitable for calculating concentrations of IgG4 in accordance with Invitrogen Human IgG Subclass Profile ELISA Kit (Catalog #: 99-1000). 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 log-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 %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 curve fit (4PL) suitable for calculating concentrations in accordance with Quant-iT Protein assay kit. 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 log-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 %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 curve fit (4PL) suitable for calculating concentrations of Leptin in accordance with Invitrogen's Human Leptin ELISA Kit (Catalog #: KAC2281). 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 fit through the points. The concentrations of the samples are determined from the fit with any specified dilution factors 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 than the lower asymptote) are highlighted in yellow.
Quantitative analysis of samples using a Four Parameter Logistic curve fit (4PL) suitable for calculating concentrations of Insulin in accordance with Invitrogen's Human Insulin ELISA Kit (Catalog #: KAQ1251). 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 fit through the points. The concentrations of the samples are determined from the fit with any specified dilution factors 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 than the lower asymptote) are highlighted in yellow.