MeasurePointList

Measurements on a subset of points in large arrays.

Paralllel measuremnts at specified points of the data only. Useful to speed up processing in large arrays and only a smaller number of measurement points.

See also

ClearMap.Analysis.Measurements

find_smaller_than_fraction(source, points, search, fraction, sink=None, processes=None, verbose=False)

Find index in local search indices with a voxel with value smaller than a fraction of the value of the center voxel for a list of points.

Arguments

sourcearray

Data source.

pointsarray

List of linear indices of center points.

searcharray

List of linear indices to add to the center index defining the local search area.

fractionfloat

Search for first voxel in local area with value smaller than this fraction of the center value.

sinkarray or None

Optional sink for result indices.

processesint or None

Number of processes to use.

verbosebool

If True, print progress info.

Returns

sinkarray

Linear array with length of points containing the first search index with voxel below the fraction of the center value.

find_smaller_than_value(source, points, search, value, sink=None, processes=None, verbose=False)

Find index in local search indices with a voxel with value smaller than a specified value for a list of points.

Arguments

sourcearray

Data source.

pointsarray

List of linear indices of center points.

searcharray

List of linear indices to add to the center index defining the local search area.

valuefloat

Search for first voxel in local area with value smaller than this value.

sinkarray or None

Optional sink for result indices.

processesint or None

Number of processes to use.

verbosebool

If True, print progress info.

Returns

sinkarray

Linear array with length of points containing the first search index with voxel below value.

find_smaller_than_values(source, points, search, values, sink=None, processes=None, verbose=False)

Find index in local search indices with a voxel with value smaller than a fraction of the value of the center voxel for a list of points.

Arguments

sourcearray

Data source.

pointsarray

List of linear indices of center points.

searcharray

List of linear indices to add to the center index defining the local search area.

fractionfloat

Search for first voxel in local area with value smaller than this fraction of the center value.

sinkarray or None

Optional sink for result indices.

processesint or None

Number of processes to use.

verbosebool

If True, print progress info.

Returns

sinkarray

Linear array with length of points containing the first search index with voxel below the fraction of the center value.

measure_max(source, points, search, max_search_indices, sink=None, processes=None, verbose=False)

Find local maximum in a large array for a list of center points.

Arguments

sourcearray

Data source.

pointsarray

List of linear indices of center points.

searcharray

List of linear indices to add to the center index defining the local search area.

max_search_indicesarray

The maximal index in the search array for each point to use.

sinkarray or None

Optional sink for result indices.

processesint or None

Number of processes to use.

verbosebool

If True, print progress info.

Returns

sinkarray

Linear array with length of points containing the local maxima.

measure_mean(source, points, search, max_search_indices, sink=None, processes=None, verbose=False)

Find local mean in a large array for a list of center points.

Arguments

sourcearray

Data source.

pointsarray

List of linear indices of center points.

searcharray

List of linear indices to add to the center index defining the local search area.

max_search_indicesarray

The maximal index in the search array for each point to use.

sinkarray or None

Optional sink for result indices.

processesint or None

Number of processes to use.

verbosebool

If True, print progress info.

Returns

sinkarray

Linear array with length of points containing the local mean.

measure_min(source, points, search, max_search_indices, sink=None, processes=None, verbose=False)

Find local minimum in a large array for a list of center points.

Arguments

sourcearray

Data source.

pointsarray

List of linear indices of center points.

searcharray

List of linear indices to add to the center index defining the local search area.

max_search_indicesarray

The maximal index in the search array for each point to use.

sinkarray or None

Optional sink for result indices.

processesint or None

Number of processes to use.

verbosebool

If True, print progress info.

Returns

sinkarray

Linear array with length of points containing the local minima.

measure_sum(source, points, search, max_search_indices, sink=None, processes=None, verbose=False)

Find local mean in a large array for a list of center points.

Arguments

sourcearray

Data source.

pointsarray

List of linear indices of center points.

searcharray

List of linear indices to add to the center index defining the local search area.

max_search_indicesarray

The maximal index in the search array for each point to use.

sinkarray or None

Optional sink for result indices.

processesint or None

Number of processes to use.

verbosebool

If True, print progress info.

Returns

sinkarray

Linear array with length of points containing the local mean.

test()