LoD estimator

Classic blank-based LoD. LoB is often mean_blank + 1.645 SD; LoD adds a low-level SD term. This form is the simple one-SD version.

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LoD ≈ mean + z × SD (same units as the inputs).

How to use the LoD estimator

Enter blank mean and SD, adjust z if your protocol uses a different quantile, and read the sketch LoD. Check replicate precision with the coefficient of variation calculator, trend controls with the Westgard QC helper, or summarize clinical 2×2 performance with the sensitivity and specificity calculator.

Building analytical sensitivity claims for an IVD or assay?

A blank-based sketch is not an LoD claim. Book a Consultation with our clinical / regulatory team to design LoB/LoD/LoQ studies (for example CLSI EP17) that match your intended use.

Book a Consultation

FAQ

What is LoD versus LoB?
Limit of blank (LoB) is the highest measurement likely to be observed for a blank sample. Limit of detection (LoD) is the lowest analyte amount that can be detected with a stated confidence. Classic blank-based sketches often use LoB ≈ mean_blank + 1.645×SD_blank; full LoD methods add a low-level precision term. CLSI EP17 is a commonly cited evaluation protocol for LoB, LoD and LoQ.
Why does this tool default z to 1.645?
1.645 is the approximate one-sided 95% normal quantile often used in blank-based LoB sketches. You can change z, but the official claim still depends on the study design, replicates and error model in your protocol — not on this form alone.
Does this replace a CLSI EP17 study?
No. EP17-style studies specify blank and low-level sample plans, replicates across days/instruments, and how LoB, LoD and LoQ are estimated and verified. This page only computes mean + z×SD from values you enter.
How should LoD relate to clinical cutoffs?
Analytical LoD is not automatically a clinical decision threshold. Intended-use cutoffs, measuring interval and precision near the cutoff belong in the clinical validation and labeling discussion.
What units should I use?
Use the same concentration or signal units for blank mean, blank SD and the reported LoD. Mixing units silently invalidates the arithmetic.
When is a simple blank model a bad fit?
Heteroscedastic assays, censored blanks, non-normal errors and multi-reagent lots often need richer models. If blanks are not normally distributed, do not treat mean + 1.645×SD as definitive.

Educational only. Not medical advice, not a regulatory determination, and not a substitute for qualified RA/QA, legal, clinical, or statistical counsel. LoD estimator does not submit to FDA, Notified Bodies, or IRBs.

Related assay & diagnostic tools

Building analytical sensitivity claims for an IVD or assay?

A blank-based sketch is not an LoD claim. Book a Consultation with our clinical / regulatory team to design LoB/LoD/LoQ studies (for example CLSI EP17) that match your intended use.

Book a Consultation