locan.analysis.localization_precision#

Compute localization precision from successive nearby localizations.

Localization precision is estimated from spatial variations of all localizations that appear in successive frames within a specified search radius [1].

Localization pair distance distributions are fitted according to the probability density functions in [2].

The estimated sigmas describe the standard deviation for pair distances. Localization precision is often defined as the standard deviation for localization distances from the center position. With that definition, the localization precision is equal to sigma / sqrt(2).

References

Classes

LocalizationPrecision([meta, radius])

Compute the localization precision from consecutive nearby localizations.

PairwiseDistance1d([momtype, a, b, xtol, ...])

A random variable describing the distribution of pair distances for two normal distributed point clouds in 1D.

PairwiseDistance1dIdenticalSigmaZeroMu([...])

A random variable describing the distribution of pair distances for two normal distributed point clouds in 1D.

PairwiseDistance2d([momtype, a, b, xtol, ...])

A random variable describing the distribution of pair distances for two normal distributed point clouds in 2D.

PairwiseDistance2dIdenticalSigma([momtype, ...])

A random variable describing the distribution of pair distances for two normal distributed point clouds in 2D.

PairwiseDistance2dIdenticalSigmaZeroMu([...])

A random variable describing the distribution of pair distances for two normal distributed point clouds in 2D.

PairwiseDistance3d([momtype, a, b, xtol, ...])

A random variable describing the distribution of pair distances for two normal distributed point clouds in 3D.

PairwiseDistance3dIdenticalSigmaZeroMu([...])

A random variable describing the distribution of pair distances for two normal distributed point clouds in 3D.