Improving your results with MasterPlex QT 2010


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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

5) New features in MasterPlex QT 2010

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  • Most popular model equation in the Luminex world Recommended on most manuals for commercial kits
  • 4PL curve with 3 replicates 4 & 5PL assume equal standard deviations for all standard groups This phenomenon is called heteroscedasticity where we see nonconstant variance To account for heteroscedastic data such as this
  • Improving your results with MasterPlex QT 2010

    1. 1. Presenters: Robert Lynde Deputy Director Sales Operations & Strategic Alliances Manager Allen Liu Supervisor Technical Support & Project Management Webinar: Improving your results with MasterPlex QT July 29, 2010 This presentation accompanies the free webinar recording at:
    2. 2. <ul><li>A close up look at the 4-PL and 5-PL model equations </li></ul><ul><li>Heteroscedasticity & Weighting </li></ul><ul><li>BONUS: What’s New in MasterPlex QT 2010 </li></ul><ul><li>Ensuring the quality of your data with the Quality Control Manager </li></ul><ul><li>How to use time-saving features such as templates & Best Fit </li></ul>Topics
    3. 3. 4 Parameter Logistic (4PL) <ul><li>F(x) = ((A-D)/(1+((x/C)^B))) + D </li></ul><ul><li>Nonlinear regression </li></ul><ul><li>Monotonic </li></ul><ul><ul><li>e.g. For every MFI, there is only one concentration </li></ul></ul><ul><li>Symmetrical around the midpoint or inflection point </li></ul>
    4. 4. 4 Parameter Logistic (4PL) A = minimum asymptote D = maximum asymptote C = inflection point B = slope factor/steepness of curve < low standard OR lowest extrapolated value > high standard OR highest extrapolated value
    5. 5. Caution on Extrapolation tiny change in MFI = HUGE change in concentration
    6. 6. 5 Parameter Logistic (5PL) <ul><li>F(x) = A + (D/(1+(X/C)^B)^ E ) </li></ul><ul><li>Nonlinear regression </li></ul><ul><li>Monotonic </li></ul><ul><li>Key difference = asymmetry </li></ul><ul><li>E = asymmetry factor </li></ul><ul><li>E = 1 = 4PL model equation </li></ul>
    7. 7. 5 Parameter Logistic (5PL)
    8. 8. Assumptions of the 4PL & 5PL <ul><li>2 assumptions about how the data are scattered around the curve… </li></ul><ul><ul><li>The scatter follows a Gaussian or “normal” distribution </li></ul></ul><ul><ul><li>The standard deviation of the scatter (of the response values or MFI) is the same for all values of x (or concentrations in our case) </li></ul></ul>
    9. 9. Heteroscedasticity
    10. 10. Weighting <ul><li>1/Y^2 (Relative weighting) – Most commonly used </li></ul><ul><li>1/Y – Most effective when the scatter follows a Poisson distribution </li></ul><ul><li>Mainly affects points on the lower portion of the curve </li></ul><ul><li>Test by doing before/after on the % Recovery </li></ul>
    11. 11. <ul><ul><li>Expanded Platform Support </li></ul></ul><ul><ul><ul><li>Meso Scale Discovery (MSD) platform compatibility </li></ul></ul></ul><ul><ul><li>Improved Data Integrity </li></ul></ul><ul><ul><ul><li>Built-in Quality Control Manager </li></ul></ul></ul><ul><ul><ul><li>Added new Upper Limit of Detection calculation for QC Manager </li></ul></ul></ul><ul><ul><li>Further Time-saving </li></ul></ul><ul><ul><ul><li>Auto calculation for plate templates </li></ul></ul></ul><ul><ul><li>Dose Response Analysis </li></ul></ul><ul><ul><ul><li>EC or IC50 calculation </li></ul></ul></ul><ul><ul><ul><li>EC or IC(anything) calculation </li></ul></ul></ul><ul><ul><li>Enhanced Reporting </li></ul></ul><ul><ul><ul><li>Merge group wells in the Data Table </li></ul></ul></ul><ul><ul><ul><li>Customizable standard curve chart titles & x/y-axes </li></ul></ul></ul>What’s new for MasterPlex QT 2010?
    12. 12. <ul><li>Free 14-Day Trial: </li></ul><ul><li>Support: [email_address] </li></ul><ul><li>Sales: [email_address] </li></ul><ul><li>MiraiBio Support Menu </li></ul><ul><ul><li>Community </li></ul></ul><ul><ul><li>Knowledge Base </li></ul></ul><ul><ul><li>Blog </li></ul></ul><ul><li>Webinars: </li></ul>Resources