Thermo Fisher qPCR Efficiency Equation:
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qPCR efficiency (E) indicates how effectively the PCR reaction amplifies the target sequence. An ideal efficiency is 100%, meaning the product doubles each cycle. The Thermo Fisher model calculates efficiency from the standard curve slope.
The calculator uses the Thermo Fisher efficiency equation:
Where:
Explanation: The equation converts the standard curve slope into a measure of amplification efficiency. Perfect efficiency (100%) corresponds to a slope of -3.32.
Details: Knowing your qPCR efficiency is crucial for accurate quantification, especially when using relative quantification methods. Efficiency affects the calculation of fold changes in gene expression studies.
Tips: Enter the slope value from your standard curve. Typical values range from -3.0 to -3.6 (corresponding to efficiencies of 90-120%).
Q1: What is an acceptable qPCR efficiency range?
A: 90-110% is generally acceptable, with 95-105% being ideal. Values outside this range may indicate problems with primers, template quality, or pipetting accuracy.
Q2: How do I get the slope value?
A: The slope is obtained from the standard curve plot in your qPCR analysis software, typically when running serial dilutions of your target.
Q3: Why is my efficiency above 100%?
A: Efficiencies >100% may indicate PCR inhibition in more concentrated samples, pipetting errors, or non-specific amplification.
Q4: What if my efficiency is below 90%?
A: Low efficiency suggests suboptimal reaction conditions. Consider checking primer design, template quality, or reaction components.
Q5: Can I use this for SYBR Green and probe-based assays?
A: Yes, this calculation applies to both detection chemistries, as long as you have a valid standard curve slope.