locan.analysis

Standard analysis procedures.

This module contains classes and functions for carrying out standardized analysis procedures on localization data. All functions typically take LocData objects as input and provide an analysis class with derived analysis results and standard functions for presentation.

Submodules:

accumulation_analysis	Localization-density variation analysis to characterize localization cluster.
blinking	Compute on- and off-periods from localization frames.
cbc	Coordinate-based colocalization.
convex_hull_expectation	Analyze geometrical properties of the convex hull of localization coordinates.
drift	Drift analysis for localization coordinates.
grouped_property_expectation	Analyze grouped property expectations.
local_density	Compute the local density of localizations.
localization_precision	Compute localization precision from successive nearby localizations.
localization_property	Analyze localization property.
localization_property_2d	Analyze the distribution of a localization property in 2D.
localization_property_correlations	Analyze cross dependencies between localization properties.
localizations_per_frame	Compute localizations per frame.
nearest_neighbor	Nearest-neighbor distance distribution analysis
pair_distances	Pairwise distance distribution analysis.
pipeline	Building an analysis pipeline.
position_variance_expectation	Analyze variance of localization coordinates.
radial_distribution	Radial distance distribution analysis.
ripley	Compute Ripley's k function.
subpixel_bias	Compute subpixel bias in localization data.
uncertainty	Compute localization uncertainty.