Laboratory qPCR efficiency curve calculator

Calculate ct versus log10 quantity slope and estimated PCR efficiency with your own figures.

Your numbers

Use the units shown. Results update as you change valid inputs.

Use ct versus log10 quantity slope and estimated PCR efficiency to compare changes to your inputs. The method and limits below explain the scope.

Examples

Examples

Try the starting example

Template quantities or relative concentrations
1,10,100,1000
Ct readings
30,26.68,23.36,20.04
Ct versus log10 quantity slope
-3.32
Estimated PCR efficiency (%)
100.080525
R squared
1

Try another scenario

Template quantities or relative concentrations
[1, 10, 100, 1000]
Ct readings
[31, 27.5, 24, 20.5]
Ct versus log10 quantity slope
-3.5
Estimated PCR efficiency (%)
93.069773
R squared
1
Calculation method

Calculation method

Ct versus log10 quantity slope

Linear regression Ct=m log10(quantity)+b.

Estimated PCR efficiency (%)

100(10^(−1/slope)−1); requires negative slope.

R squared

Fit diagnostic; no automatic assay acceptance.

Symbols and units
a
Template quantities or relative concentrations
b
Ct readings

Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.

Assumptions & limits

Assumptions & limits

  • Template dilution factors, Ct readings. Returns Slope-derived efficiency estimate. All coefficients and observations are user supplied; results describe only the stated mathematical model. Quantities are deterministic calculations from supplied observations and assumptions; no external data is fetched. Supported limits: Finite inputs only; numeric fields bounded as labelled. Lists and JSON records are limited to 256 entries unless a stricter tool bound is stated. No automatic design approval, legal conclusion, treatment recommendation or safety certification. Template quantities or relative concentrations: minimum 1e-12, maximum 1000000000000.0. Ct readings: minimum None, maximum 1000000000000.0.
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Further reading

Method reference ↗

Background reading; this does not imply endorsement or independent review of SumFizz.

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