locan.analysis.convex_hull_expectation.ConvexHullExpectationBatch#

class locan.analysis.convex_hull_expectation.ConvexHullExpectationBatch(meta=None, convex_hull_property='region_measure_ch', expected_variance=None)[source]#

Bases: _Analysis

Analyze geometrical properties of the convex hull of localization coordinates in relation to expected values.

See also

ConvexHullExpectation

Parameters:

  • meta (locan.analysis.metadata_analysis_pb2.AMetadata) – Metadata about the current analysis routine.

  • convex_hull_property (Literal['region_measure_ch', 'subregion_measure_ch']) – One of ‘region_measure_ch’ (i.e. area or volume) or ‘subregion_measure_ch’ (i.e. circumference or surface.)

  • expected_variance (float | Iterable[float] | None) – The expected variance for all or each localization property. The expected variance equals the squared localization precision for localization position coordinates.

Variables:

  • count (int) – A counter for counting instantiations (class attribute).

  • parameter (dict) – A dictionary with all settings for the current computation.

  • meta (locan.analysis.metadata_analysis_pb2.AMetadata) – Metadata about the current analysis routine.

  • results (ConvexHullExpectationResults) – Computed results.

  • distribution_statistics (Distribution_stats, None) – Distribution parameters derived from MLE fitting of results.

Methods

__init__([meta, convex_hull_property, ...])

compute(locdatas)

Run the computation.

from_batch(batch[, dimension])

rtype:

Self

hist([ax, bins, n_bins, bin_size, ...])

rtype:

Axes

plot([ax])

rtype:

Axes

report(*args, **kwargs)

Show a report about analysis results.

Attributes

count

A counter for counting Analysis class instantiations (class attribute).
compute(locdatas)[source]#

Run the computation.

Parameters:

locdatas (Iterable[LocData]) – Localization data.

Return type:

Self

from_batch(batch, dimension=None)[source]#
Return type:

Self

hist(ax=None, bins=None, n_bins=None, bin_size=None, bin_edges=None, bin_range=None, log=True, fit=False, **kwargs)[source]#
Return type:

Axes

plot(ax=None, **kwargs)[source]#
Return type:

Axes