ELISA Data Analyzer

Analyze ELISA assay data with 4-parameter logistic curve fitting and calculate sample concentrations from optical density values.

ELISA Analysis Results

What is ELISA Data Analysis?

ELISA (Enzyme-Linked Immunosorbent Assay) data analysis involves fitting a standard curve to known concentrations and calculating unknown sample concentrations from optical density measurements. This tool uses 4-parameter logistic regression for accurate curve fitting.

How to Use This ELISA Analyzer

Quick guide to analyze your ELISA data:

  1. Enter standard concentrations and OD values
  2. Add sample names and their OD values
  3. Adjust options (background, dilution factor)
  4. Results appear automatically with curve statistics

When to Use

This tool is useful when you need to:

  • Calculate sample concentrations from ELISA plate data
  • Assess standard curve quality with R² values
  • Detect outliers in your measurements
  • Apply dilution factor corrections
  • Generate publication-ready results tables

Example Input

Sample ELISA data format:

Standards (concentration,OD): 1000,2.85 500,2.42 250,1.89 125,1.32 Samples (name,OD): Sample1,1.75 Sample2,1.23

Supports comma or tab separated values.

Example Output

Analysis results include:

R² = 0.9985 Sample1: 387.2 ng/mL (CV: 2.3%) Sample2: 234.7 ng/mL (CV: 1.8%) Standard Curve: 4PL fit Background corrected

Includes curve statistics and concentration calculations.

FAQ

Q: What curve fitting method is used?
A: 4-parameter logistic (4PL) regression for optimal ELISA curve fitting.

Q: How are outliers detected?
A: Using residual analysis with 2.5x standard deviation threshold.

Q: Can I analyze multiple plates?
A: Yes, just include all standards and samples in the input.