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Posted by Allen Liu under MasterPlex ReaderFit

Calculating the EC10 or IC90 values for a dose response curve is not as simple as the EC50 or IC50 values when using the 4PL or 5PL model equations.

The equation for calculating any EC value given a 4PL curve fit is the following:

ECF = (F/(100-F))^(1/H) * EC50

0 < F < 100 (This is the EC value you are interested in. For example, F=10 for EC10.)
H = Hill Slope for the 4PL curve fit

Luckily, our latest release of MasterPlex ReaderFit 2010 makes this easy. Yes, even with the 5PL curve-fit!

Here’s how:

  1. Copy & paste your data into ReaderFit

    Copy your response values from the source and paste it into ReaderFit via CTRL+V -> Paste Response Values.

  2. Mark data as Sample Curve type (part 1)

    Select all of the data points that will be used to fit one entire dose response curve including all replicates. In the example given below, there are 7 groups each done in duplicate.

  3. Mark data as Sample Curve type (part 2)

    Click on the blue Mark Sample Curve button. (The Auto Fill dialog may pop up. Click the Close button if you see it.)

  4. Indicate known dose concentration values (part 1)

    Select Independent Values(X-axis) from the data pull-down menu. This will show the corresponding data in the plate view. By default, all of the Independent Values(X-axis) will be 0.

  5. Indicate known dose concentration values (part 2)

    Select the sample of interest and double-click the lower-cell to enter edit mode. Once in edit mode, type in the concentration value. Make sure all values have the same unit. We will edit that later.

  6. Fitting the curve (part 1)

    Select the Fit Curves tab.

  7. Fitting the curve (part 2)

    Select either the Four Parameter Logistic (4PL) or Five Parameter Logistic (5PL) from the Curve Fitting section and press the Calculate button.

  8. Edit dose response curve axes

    Right-click on the dose response curve chart and edit the x and y axes. You also have the option to add a chart title.

  9. Calculate EC or IC(Anything) value (part 1)

    Press the Statistics Toolbar button.

  10. Calculate EC or IC(Anything) value (part 2)

    By default the EC50 and the log EC50 values are calculated for you. If you have an inhibition curve, press the ICxx radio button to switch to IC50 and log IC50 values.

  11. Calculate EC or IC(Anything) value (part 3)

    If you have an inhibition curve and you are interested in the IC90 calculation, simply select the ICxx radio button and enter “90” into the Percentages section and press the Add button.

If you have not done so yet, I would like to invite you to try the free 14-day trial of MasterPlex ReaderFit.

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Posted by Allen Liu under MasterPlex QT

Improving your results with MasterPlex QT

Join us for a Webinar on July 29
Space is limited.
Reserve your Webinar seat now at:
https://www1.gotomeeting.com/register/351125992
In this webinar, you will learn how to improve the speed & integrity of your results using MasterPlex QT with an emphasis on curve-fitting.

Topics will include:

   1) A close up look at the 4-PL and 5-PL non-linear regression models

   2) Heteroscedasticity & Weighting

   3) Ensuring the quality of your data with the QC Manager

   4) How to use time-saving features such as templates & Best Fit

Title:   Improving your results with MasterPlex QT
Date: Thursday, July 29, 2010
Time: 11:00 AM – 12:00 PM PDT
After registering you will receive a confirmation email containing information about joining the Webinar.
System Requirements
PC-based attendees
Required: Windows® 7, Vista, XP, 2003 Server or 2000
Macintosh®-based attendees
Required: Mac OS® X 10.4.11 (Tiger®) or newer

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Posted by Allen Liu under MasterPlex QT, MasterPlex ReaderFit

We recently had a customer that was interested in MasterPlex QT because his current analysis software for his Bio-Plex instrument was reporting a lot of “OOR < ” or out of range concentration values (below the lower asymptote in this case) for points on the lower end of curve. This is what you would normally expect to see for values that fall below the minimum asymptote BUT the software did not have the capability to use weighting in calculating the lower asymptote which can greatly affect points on the lower part of the curve.
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Posted by Allen Liu under MasterPlex QT, MasterPlex ReaderFit

The 5-PL or 5 Parameter Logistic is a nonlinear regression model used for prediction of the probability of occurrence of an event by fitting data to a logistic curve. It differs from the 4-PL or 4 Parameter Logistic model in that it is an asymmetric function which is a better fit for immunoassay or bioassay data.  As the name suggests, there are 5 parameters in the 5-PL model equation:

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