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FREE · LOCAL ANALYSIS

IC50 / EC50 4PL Calculator

4PL dose-response · IC50/EC50 · Hill slope · R²

Transparent modelExample dataLocal processingReview methodology →
ADVANCED ANALYSIS · RUO

IC50 / EC50 4PL Calculator

4PL dose-response · IC50/EC50 · Hill slope · R²

Calculated locally in this browser

Column order: concentration, response

Editable data table
concentrationresponse
Paste CSV / TSV

Conversion: 1 µM = 1 µM

Analysis result

IC50 / EC500.3689 µM
Hill slope-0.9405
Bottom / Top2.722 / 99.7
R²0.9996
Valid rows7
Loading chart…

Research use only. Validate raw data, exclusions and interpretation against the approved analysis plan.

PRACTICAL GUIDE

Use the result with confidence.

Use this 4PL dose-response calculator to estimate an IC50 or EC50 from concentration-response observations. It reports the fitted midpoint, Hill slope, top and bottom plateaus, R² and curve figure while keeping the raw data and fit-quality warnings visible.

Open the calculator
WORKED EXAMPLES

Check the calculation in context.

EXAMPLE 01

Midpoint bracketed by measured concentrations

What makes an IC50 interpolation more defensible?

  1. Measure low-response and high-response plateaus.
  2. Include several concentrations through the transition region.
  3. Confirm the fitted midpoint falls inside the tested concentration range.
Result

A midpoint supported on both sides by observations is interpolated rather than projected beyond the experiment.

Interpretation: Still review replicates, residual pattern, normalization and parameter plausibility; R² alone is not validation.

EXAMPLE 02

Curve never reaches 50% effect

Can the model still return an IC50?

  1. A nonlinear optimizer may estimate a midpoint outside the measured range.
  2. The estimate then relies strongly on model shape and fitted plateaus.
  3. Expand the concentration range or report that the midpoint was not reached.
Result

A precise-looking extrapolated IC50 can be weakly supported even when the fit converges.

Interpretation: Do not present an extrapolated midpoint as equivalent to a bracketed experimental estimate.

COMMON MISTAKES

Correct numbers can still lead to a poor experiment.

01

Using concentration zero on a log scale

Log-concentration models cannot directly transform zero.

What to do

Treat vehicle control separately and fit positive concentrations according to the predefined analysis.

02

Forcing plateaus without justification

Fixed top or bottom values can shift midpoint and slope.

What to do

Use constraints only when the assay definition and analysis plan support them.

03

Judging the curve by R² alone

A high R² can coexist with sparse transition data, systematic residuals or implausible parameters.

What to do

Inspect coverage, replicates, residuals, parameter uncertainty and whether the midpoint is bracketed.

REPORTING NOTES

Document the calculation clearly.

Copy a methods-ready sentence or preparation checklist, then adapt it to your actual protocol, instrument and acceptance criteria.

Methods sentence

Concentration-response data were fitted with a four-parameter logistic model; concentrations were positive and analyzed on the stated concentration scale.

Result sentence

Report IC50/EC50 with units, Hill slope, fitted top and bottom, concentration range, replicate summary, fitting constraints and whether the midpoint was bracketed.

FAQ

Questions researchers often ask.

What is the difference between IC50 and EC50?

IC50 describes the concentration associated with 50% inhibition under the assay definition; EC50 describes the concentration associated with half-maximal effect. Both are model- and assay-dependent.

How many concentrations are needed for a 4PL curve?

Four valid points are a mathematical minimum, not a robust design. Use enough concentrations and replicates to define both plateaus and the transition region.

Should concentration zero be included in the 4PL fit?

Zero cannot be log-transformed. Preserve vehicle controls for normalization and QC, and follow a predefined fitting method for positive concentrations.

Is an IC50 valid when 50% inhibition was not observed?

The software may return an extrapolated value, but support is weak. Report the limitation and consider expanding the tested range.

NEXT WORKFLOW

Continue beyond a single calculation.

Review the connected workflow for experimental context, quality checks and related tools.

Dose-response analysis hub
INPUT FORMAT

Data requirements

Enter at least 4 valid rows. Concentrations must be greater than 0 and responses must be numeric.

concentration, response
INTERPRETATION

Review before reporting

Research use only. Validate raw data, exclusions and interpretation against the approved analysis plan.

Check raw observations, excluded rows, model assumptions and study-specific acceptance criteria before using the result.

METHOD

Transparent analysis

Inputs are processed locally in your browser. Review the calculation policy, limitations and verification approach before reporting a result.

Read the methodology →
EVIDENCE & REVIEW

A result you can audit.

Reviewed 12 August 20264-parameter logistic workflow review complete
01

Implementation check

The workflow preserves raw rows, shows the fitted curve and reports model parameters so users can judge whether the observed concentrations bracket the response midpoint.

02

Interpretation boundary

An estimated IC50 is model- and assay-dependent. Sparse plateaus, constrained parameters, outliers or an unbracketed midpoint can produce a precise-looking but weak estimate.

REFERENCE VALIDATION CASE

Bracketed synthetic 4PL midpoint

Noise-free values generated from the same four-parameter logistic form used by the calculator.

Inputs
  • Bottom 0, top 100
  • Hill slope 1
  • Synthetic midpoint at 1 µM
  • Concentrations on both sides of 1 µM
Expected result
  • Fitted midpoint approximately 1 µM
  • Top and bottom approach 100 and 0
  • R² greater than 0.999 for noise-free data
CHECK IDLAB-VAL-006TOLERANCEMidpoint within 5%; R² > 0.999LAST RUN13 August 2026AUTOMATED CHECK4PL fit midpoint, plateau behavior and goodness of fit

Scope: A software regression check, not biological or assay validation.

Review and correction history

12 August 2026 · Internal implementation review

4-parameter logistic workflow review complete. Formula behavior, unit handling, limitations and linked references were checked internally.

Independent reviewer: Not yet published. A name, relevant qualification, date and exact scope will appear here only after a real review is completed.

Source-informed and internally checked; independent scientific or regulatory validation is not claimed. Research use only.

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