Advertisement
100% x 90
qPCR Efficiency Calculator

qPCR Efficiency Calculator

Calculate PCR efficiency from standard curve slope and optimize your qPCR assays

Calculate qPCR Efficiency

Slope from your qPCR standard curve (should be negative)

qPCR Efficiency Results

0.00%
PCR Efficiency
0.000
Slope
0.000
Amplification Factor

Formula used: Efficiency = (-1 + 10^(-1/slope)) × 100%

Perfect efficiency: 100% (slope = -3.322)

Acceptable range: 90-110% efficiency (slope: -3.6 to -3.1)

Efficiency Interpretation Guide

90-110%: Acceptable efficiency range
100%: Perfect efficiency (slope = -3.322)
<90%: Poor efficiency - optimization needed
>110%: Too high - check for errors

PCR Optimization Tips

Standard Curve Best Practices

  • Use ≥5 dilution points (10-fold dilutions)
  • Run at least triplicates for each point
  • Check R² correlation (should be ≥0.99)
  • Remove outliers and repeat if necessary

Common Issues & Solutions

  • Low efficiency: Check primer concentration
  • High efficiency: Check for contamination
  • Poor linearity: Verify dilution accuracy
  • Outliers: Check pipetting technique

Example Calculation

Standard Curve Analysis

Given: Standard curve slope = -3.35

Formula: Efficiency = (-1 + 10^(-1/-3.35)) × 100%

Calculation: (-1 + 10^(0.2985)) × 100%

Step: (-1 + 1.9884) × 100%

Results

PCR Efficiency: 98.84%

Amplification Factor: 1.99

Interpretation: Excellent efficiency within acceptable range

Status: ✅ PCR assay performing optimally

Advertisement
100% x 250

Reference Values

Perfect Efficiency100%
Perfect Slope-3.322
Max Amp. Factor2.0
Min R² Value0.99

Common Slope Values

Slope: -3.1110% efficiency
Slope: -3.3100% efficiency
Slope: -3.690% efficiency
Slope: -4.079% efficiency

Slopes between -3.1 and -3.6 are acceptable

Understanding qPCR Efficiency

What is qPCR Efficiency?

qPCR efficiency measures how well your PCR reaction amplifies the target sequence. Perfect efficiency (100%) means the target DNA doubles in each cycle, indicating optimal primer binding and polymerase activity.

Why is it Important?

  • Validates assay reliability and accuracy
  • Ensures quantitative results are meaningful
  • Allows comparison between different assays
  • Identifies optimization needs early

Efficiency Formula

Efficiency = (-1 + 10^(-1/slope)) × 100%

Amplification Factor = 10^(-1/slope)

  • Slope: From log(DNA) vs Ct plot
  • -3.322: Perfect slope for 100% efficiency
  • 90-110%: Acceptable efficiency range
  • R² ≥ 0.99: Required correlation coefficient

Remember: Ct values should be 3.322 cycles apart for 10-fold dilutions at 100% efficiency.

Advertisement
100% x 250