Abstract class which aggregates and represents all the results
produced from a given measurement run. It also provides a scaffold for
interacting with the OmeroTables infrastructure.
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__init__(self,
analysis_ctx,
service_factory,
original_file_provider,
original_file,
result_files)
x.__init__(...) initializes x; see x.__class__.__doc__ for signature |
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update_table(self,
columns)
Updates the OmeroTables instance backing our results. |
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create_file_annotation(self,
set_of_columns)
Creates a file annotation to represent a set of columns from our
measurment. |
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update_rois(self,
rois,
batches,
batch_no)
Updates a set of ROI for a given batch updating the batches
dictionary with the saved IDs. |
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image_from_original_file(self,
original_file)
Returns the image from which an original file has originated. |
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parse_and_populate(self)
Calls parse and populate, updating the OmeroTables instance backing
our results and the OMERO database itself. |
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get_name(self,
set_of_columns=None)
Returns the name of the measurement, and a set of columns. |
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parse(self)
Parses result files, returning a MeasurementParsingResult. |
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parse_and_populate_roi(self,
columns)
Parses and populates ROI from column data in the OMERO database. |
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populate(self,
columns)
Populates an OmeroTables instance backing our results and ROI
linkages. |
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Inherited from object :
__delattr__ ,
__format__ ,
__getattribute__ ,
__hash__ ,
__new__ ,
__reduce__ ,
__reduce_ex__ ,
__repr__ ,
__setattr__ ,
__sizeof__ ,
__str__ ,
__subclasshook__
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