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ELISA Scientific Calculator
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PM Lab Suite·Research Tool

ELISA Scientific Calculator

A scientific ELISA analytical tool: 4PL/5PL standard curve fitting from replicate-mean calibrators, replicate CV with sample SD, dilution-corrected provisional concentration estimates, standard back-calculation review, and an optional ICH M10 LBA calibrator profile. Beta · Scientific audit in progress.

Input
Compute
Output
Interpret
Evidence

Input & Computation

Layer 1 + 2
Beta · Scientific audit in progress
Curve Model
AICc comparison includes models fitted on the original response scale. Log-log regression uses a transformed response and is available as a separate manual exploratory model. AICc comparison is exploratory. The curve model, weighting scheme and transformation should be predefined during assay validation.

Standard Curve

Conc.OD Rep 1OD Rep 2OD Rep 3

Samples

LabelOD Rep 1OD Rep 2OD Rep 3Dil.

Plate Layout (optional)

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Click to assign well types. Used for plate heatmap visualization in Analysis tab.

Evidence & References

Layer 5
1

Engvall E & Perlmann P (1971)

Original ELISA paper. Enzyme-linked immunosorbent assay (ELISA). Quantitative assay of immunoglobulin G. Immunochemistry 8(9):871–874.

2

Findlay JWA & Dillard RF (2007)

Appropriate calibration curve fitting in ligand binding assays. AAPS J 9(2):E260–E267. Establishes 4PL as the standard model for immunoassays.

3

ICH M10 (2022)

Bioanalytical method validation guideline. The ICH M10 LBA calibrator profile (±20% internal, ±25% lowest/highest calibrators, ≥75% of levels accepted, ≥6 levels) is applied here as an optional review, not as evidence of run validity.

4

Boulanger B et al. (2003)

An analysis of the ELISA and immunoassay validation parameters. J Pharm Biomed Anal 32(4–5):753–765. Defines acceptance criteria for back-calculated standards (±15%).

5

Broto M et al. (2019)

New perspectives in immunoassay quality control. Anal Bioanal Chem 411:7503–7514. Sigma metrics application to ELISA assay monitoring.

ECIS v2.0 beta architecture: replicate-mean calibrator points → 4PL/5PL/linear/loglog Levenberg-Marquardt fitting with convergence and domain guards → calibrator back-calculation from the same replicate means → optional ICH M10 LBA calibrator profile → replicate CV (sample SD, Grubbs outlier detection) → provisional dilution-corrected sample estimates. Status: Beta · Scientific audit in progress.

PM Lab Suite

Clinical Laboratory Intelligence Platform

Input— Structured inputs & validation
Compute— Validated formulas
Output— Critical value highlighting
Interpret— Clinical/lab relevance
Evidence— Guideline references

When to Use

  • Fitting 4PL/5PL ELISA standard curves from replicate-mean calibrators
  • Computing replicate CV with the sample standard deviation (n−1)
  • Back-calculating calibrator accuracy from the same replicate means used for fitting
  • Reviewing concentration estimates against an optional ICH M10 LBA calibrator profile
  • Teaching ELISA analytical concepts with viva preparation

Common Pitfalls

  • Treating entered calibrator endpoints as validated LLOQ/ULOQ (method-validation evidence is required)
  • Accepting R² alone as proof of calibration acceptability
  • Assuming a hook effect is excluded because no decline is visible within entered standards
  • Using within-run duplicate CV as a method CV in sigma metrics
  • Failing to correct for dilution factor in sample back-calculation