qPCR Efficiency Calculator

Calculate amplification efficiency from a qPCR standard-curve slope, then interpret whether the assay is inside the practical 90-110% range.

Slope to qPCR efficiency

Formula used
Amplification factor = 10^(-1 / slope)
Efficiency (%) = (Amplification factor - 1) × 100

10-fold Ct spacing at 100% efficiency is 3.322 cycles.

Calculated result

Efficiency
98.84%
Amplification factor
1.988×
Slope
-3.35
10× Ct spacing
3.35 cycles
Report-ready interpretation
qPCR efficiency from standard curve
Slope: -3.35
Amplification factor: 1.988
Efficiency: 98.84%
Intercept: 38.2
Expected Ct spacing for 10x dilution: 3.35 cycles
Interpretation: 90-110% is commonly treated as an acceptable assay range. Also inspect R², residuals, melt curve or specificity data.

Worked example

If the standard curve slope is -3.35:

Efficiency=(10-1 / -3.35- 1) × 100
Efficiency = (10^(-1 / -3.35) - 1) × 100 = 98.84%; amplification factor = 1.988.

How to interpret the result

90-110% is commonly acceptable for qPCR standard curves.

Below 90% suggests poor amplification, inhibitors, primer issues, or dilution mistakes.

Above 110% is often a warning sign for contamination, non-specific signal, or non-linear curve points.

Why the standard curve quality matters

The slope is only as good as the dilution series behind it. Use at least five dilution points, keep the dilution factor consistent, and inspect whether low-template points are still linear before trusting the efficiency.

expected Ct spacing=log10(dilution factor)log10(amplification factor)

Related next steps

Need to prepare the dilution series after deciding copy number targets?

Competitor analysis note

This page is scoped to slope-based qPCR efficiency and standard-curve interpretation. Plate layout planning now belongs to the dedicated Plate Map Generator so the calculator does not mix two different tasks.