Abstract
A critical approach to the conventional definition of the detection limit and the decision threshold is introduced. Equations describing the probability of having more (or less) sample present than a given lower (or upper) limit are introduced, with the use of two different methods to calculate the value of net counts. The calculations are based on probability theory. Examples from low-count experiments and simulations are given.
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