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:#
Localization-density variation analysis to characterize localization cluster. |
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Compute on- and off-periods from localization frames. |
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Coordinate-based colocalization. |
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Analyze geometrical properties of the convex hull of localization coordinates. |
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Drift analysis for localization coordinates. |
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Analyze grouped property expectations. |
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Compute localization precision from successive nearby localizations. |
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Analyze localization property. |
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Analyze the distribution of a localization property in 2D. |
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Analyze cross dependencies between localization properties. |
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Compute localizations per frame. |
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Nearest-neighbor distance distribution analysis |
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Building an analysis pipeline. |
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Analyze variance of localization coordinates. |
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Compute Ripley's k function. |
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Compute subpixel bias in localization data. |
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Compute localization uncertainty. |