Energy & Environment

qPCR Amplification Efficiency Calculator

Turns a standard-curve slope into amplification efficiency for your qPCR assay. It returns percent efficiency, the fold change per cycle, and a MIQE check against the 90 to 110 percent target.

Reviewed and updated

How to use
  1. Enter the slope from your standard curve.
  2. Check the fold change per cycle.
  3. Confirm the MIQE compliance flag.
Estimates based on typical values; your real usage and rates will vary.
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Efficiency comes from the slope of the standard curve

E = 10(1 / slope) 1

Run a dilution series (usually 10-fold), read the Ct at each dilution, and plot Ct against log10 of the concentration. The line's slope feeds the formula above; multiply E by 100 for a percentage. A slope of −3.322 gives exactly 100% — the point where the target doubles every cycle. The slope is negative because more starting DNA crosses the threshold at a lower Ct.

What each slope means

SlopeEfficiencyVerdict
−3.10110%High edge of acceptable
−3.32100%Ideal (perfect doubling)
−3.5890%Low edge of acceptable
−3.90~80%Poor — optimize the assay
−2.90~121%Too steep — likely error

Aim for a slope between −3.1 and −3.6, with R² above 0.98 so the line actually fits your points. A poor R² makes the efficiency number meaningless.

Why efficiency matters for your results

  • Ct doubling. At 100% efficiency the product doubles each cycle, so a difference of 3.32 cycles equals a 10-fold difference in starting material.
  • Delta-delta Ct assumption. The common 2−ΔΔCt method only holds when target and reference genes both run at ~100% (within about 5%). If they differ, use an efficiency-corrected model instead.
  • One curve per assay. Efficiency shifts with primers, polymerase, buffer and template quality, so build a fresh standard curve for each gene and ideally each run.

Common questions

What is a good qPCR efficiency?

90 to 110% is the accepted range, and 95 to 105% is ideal. Inside that band a slope near -3.32 means your assay roughly doubles product each cycle, which is what the delta-delta Ct method assumes.

Why is my efficiency over 100%?

True efficiency cannot exceed 100%, so a reading above ~110% points to a problem: inaccurate serial dilutions, pipetting error, PCR inhibitors carried through, or picking Ct values from a non-linear part of the curve. Remake the dilution series and rerun.

What slope gives 100% efficiency?

A slope of -3.322 on a Ct versus log10(concentration) plot. It comes from -1 divided by log10(2), the slope at which the target doubles exactly once per cycle.

Can I get efficiency without a standard curve?

Yes, with the two-point delta-Ct method if you have two dilutions, but it is less reliable than a full 4 to 6 point standard curve. Each gene or assay needs its own curve.

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