Amplification Efficiency Equation:
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Amplification efficiency in quantitative PCR (qPCR) measures how efficiently the target DNA is amplified during each cycle. It is a critical parameter for accurate quantification of gene expression and other molecular analyses.
The calculator uses the amplification efficiency equation:
Where:
Explanation: The equation calculates the amplification efficiency from the slope of the standard curve, where an ideal efficiency of 100% corresponds to a slope of -3.32.
Details: Accurate amplification efficiency calculation is essential for reliable qPCR results, as it affects quantification accuracy, enables comparison between different assays, and helps identify potential issues with reaction conditions.
Tips: Enter the slope value obtained from your standard curve. The slope should be a negative number (typically between -3.0 and -3.6 for valid qPCR assays).
Q1: What is the ideal amplification efficiency?
A: The ideal amplification efficiency is 100%, which corresponds to a slope of -3.32. Acceptable efficiency typically ranges from 90% to 110%.
Q2: Why is amplification efficiency important?
A: Efficiency affects quantification accuracy. Deviations from 100% efficiency can lead to inaccurate results when comparing gene expression levels.
Q3: How do I obtain the slope value?
A: The slope is obtained from the standard curve generated by plotting Ct values against the logarithm of template concentrations.
Q4: What factors can affect amplification efficiency?
A: Primer design, template quality, reaction conditions, inhibitor presence, and instrument calibration can all affect amplification efficiency.
Q5: How should I interpret efficiency values?
A: Values close to 100% indicate optimal performance. Values outside 90-110% range may require optimization of reaction conditions or primer redesign.