Poisson distribution


The Poisson distribution is a discrete probability distribution. It expresses the probability of a number of events occurring in a fixed period of time if these events occur with a known average rate, and are independent of the time since the last event.

The probability that there are exactly k occurrences (k being a non-negative integer, k = 0, 1, 2, ...) is

f(k;\lambda)=\frac{e^{-\lambda} \lambda^k}{k!}

where
  • e is the base of the natural logarithm (e = 2.71828...),
  • k! is the factorial of k,
  • λ is a positive real number, equal to the expected number of occurrences that occur during the given interval. For instance, if the events occur on average every 4 minutes, and you are interested in the number of events occurring in a 10 minute interval, you would use as model a Poisson distribution with λ = 10/4 = 2.5.

(From the Wikipedia(external link)).

The detected photons in a CCD camera or a photomultiplier tube follow a Poisson distribution, which is responsible for the Photon Noise and determines de Signal To Noise Ratio of the acquired image.


Follow us



Contact Information

Scientific Volume Imaging B.V.

Laapersveld 63
1213 VB Hilversum
The Netherlands
(external link)

Phone: +31 (0)35 64216 26
E-mail: info at svi.nl