Spectrophotometry & Assays

ELISA Concentration from a 4PL Curve

Back-calculate multiple ELISA samples from an entered four-parameter logistic calibration. Check asymptotes, the validated concentration interval and per-sample dilution.

Biology · experimental measurements

Translate measured assay response into concentration using the exact entered 4PL parameter convention.

Private calculations in your browser · explicit inputs and model boundaries
Example preview · Increasing responseThe entered logistic calibration
010.4825.80.95950.51.4475.31.92100Midpoint: 10, 1.1Low: 2.5, 0.5Concentration (ng/mL)Assay response

The curve spans the entered validated interval. Only samples inside that interval appear as points; all samples and exceptions remain in the table.

  1. 1EnterProvide the known values
  2. 2CalculateResults update automatically
  3. 3VerifyReview the details and units
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Enter values in signal.

Enter values in signal.

Enter values in entered concentration unit.

Enter values in dimensionless.

Enter values in entered unit.

Enter values in entered unit.

One row: sample name, signal, dilution factor. Match the background correction used for the calibration; enter 1 for an undiluted sample.

Calculation result

Enter valid values to see the result.

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Understand the relationship

The reasoning behind the result

Four parameters define a curved response

y = D + (A − D)/(1 + (x/C)^B)

A is the response at zero concentration; D is the response approached at very high concentration. C is the concentration whose response is halfway between A and D. B is positive steepness in this convention. The response increases when D exceeds A and decreases when D is below A.

Software packages can use different parameter names, signs and axis transformations. Match the equation, not just the letters, when transferring a fit. This tool uses an entered calibration; it does not fit raw standards or certify the supplied coefficients.

Inverse calculation and dilution

x = C × [(A − y)/(y − D)]^(1/B)

For a signal strictly between the asymptotes, the bracketed ratio is positive and the inverse returns a concentration on the calibration's x scale. Multiplying by the dilution factor then returns the concentration of the original sample.

At A, the model's zero-concentration response, the inverse is zero. At D, the high-concentration asymptote, there is no finite concentration. Signals beyond the model's asymptotes are marked non-invertible rather than forced into a numeric answer.

The calibrated interval is narrower than the mathematical curve

A mathematical 4PL curve extends beyond the measured standards. A sample can have a finite inverse yet still lie outside the entered validated range. That distinction appears in each sample row.

Near a response asymptote, very small signal changes can correspond to large concentration changes. The plot helps locate samples relative to the curved response, but it does not estimate a confidence interval or a reportable detection limit.

Follow the numbers

Use the midpoint as an independent check

  1. Let A = 0.1, D = 2.1, C = 10 ng/mL and B = 1. The midpoint response is (0.1 + 2.1)/2 = 1.1.
  2. For y = 1.1, (A − y)/(y − D) = (−1)/(−1) = 1. Therefore x = 10 × 1 = 10 ng/mL.
  3. At dilution factor two, original concentration is 20 ng/mL. Range checking uses the measured concentration of 10 ng/mL.

The midpoint check verifies the parameter convention without requiring a numerical fitting algorithm.

Quick guide

How to use this calculator

  1. Enter parameters from an established 4PL calibration using exactly the displayed convention.
  2. Enter the concentration interval supported by your actual standards and validation.
  3. Enter sample signals and their dilution factors.
  4. Review each range status. A curve asymptote cannot generally be inverted to a finite concentration.

Calculation method

Calculation and interpretation

Translate measured assay response into concentration using the exact entered 4PL parameter convention.

y = D + (A − D)/(1 + (x/C)^B); x = C[(A − y)/(y − D)]^(1/B)

Worked example

Use the midpoint as an independent check

The midpoint check verifies the parameter convention without requiring a numerical fitting algorithm.

y = D + (A − D)/(1 + (x/C)^B); x = C[(A − y)/(y − D)]^(1/B)

Supported inputs

Precision and limits

Experimental boundary

This workbench reconciles entered measurements or plans. It does not validate an assay, establish biological effects or replace the protocol and controls for the actual experiment.

Specified model

Entered 4PL coefficients only, with C > 0, B > 0 and A ≠ D. No 5PL asymmetry, automatic standard fitting, weighting, blank fitting or detection threshold is inferred.

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