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The new page features:

  • Optional Blank Correction.
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  • Enhanced Excel Output (including publication quality charting).

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(We plan to keep this existing page available for your continuing use and convenience.)

Four Parameter Logistic Fit (1/y weighting)

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Play Video Guide
(3 min 24 sec)
Download files to analyse your data independently of this page:
DownloadDownload "Four Parameter Logistic Fit (inverse y weighting)" MyAssaysConfig file Help
Help The MyAssaysConfig file contains all the information necessary to perform analyses for this assay with the MyAssays Desktop Client. Using this tool, you can perform data analyses for your assay outside of your browser.
general 4PL weighting curve fit

Quantitative analysis of samples using a Four Parameter Logistic Fit (4PL) with 1/y weighting. The applied weighting is used to offset heteroscedasticity by taking into account the change in variance which occurs with an increase in signal.

All samples are first corrected by the mean of the blank group measurements. The standard data points are plotted (concentration vs. corrected measurement) and a Four Parameter Logistic Fit (4PL) with 1/y weighting is made through these points. The concentrations of the unknown samples are determined from the fit. It is important to note that concentrations can only be determined for samples which fall within the range of the determined upper and lower asymptotes of the fit (the a and d parameters).

See also Related assays
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Measurements

Supply your measurement data: Help
Help You can supply your raw data in two ways:
  1. Enter (or Paste) the raw data into the edit box. Use the same format as the example data (i.e. numbers separated by spaces). More...
  2. Select a data file on your computer and press Upload. Most raw data file formats are automatically recognised and processed. Formats not currently supported can be added very quickly. More...
After reviewing other analysis parameters press the Calculate button below to process your results.
 
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Microplate

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Standard Concentrations

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Sample IDs

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Run Notes