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MIAS dataset concrete class implementation of an analysis context. MIAS measurements are aggregated based on a single "log" file. A result file is present for each stitched (of multiple fields) mosaic and contains the actual measured results and ROI.
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Inherited from Inherited from |
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datetime_format = '%Y-%m-%d-%Hh%Mm%Ss'
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log_regex = re.compile('.*log(\d+-\d+-\d+-\d+h\d+m\d+s).txt$')
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detail_regex = re.compile('^Well(\d+)_(.*)_detail_(\d+-\d+-\d+
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companion_format = 'Companion/MIAS'
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x.__init__(...) initializes x; see x.__class__.__doc__ for signature
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Result original files are only recognizable as part of a given measurement (declared by a log file) based upon their parsed date/time of completion as encoded in the filename. This method collects result original files and groups them by collective parsed date/time of completion. |
Concrete implementations are to return True if the class pertinent for the original files associated with the plate.
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Returns the number of recognized measurement runs.
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Returns the measurement context for a given index.
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Return the number of result files associated with a measurement run.
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detail_regex
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