Parsing the numerical output from Sensovation SensoSpot image analysis.
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""" Column name definitions """
# original, unmodified column names
POS_X = "Pos.X"
POS_Y = "Pos.Y"
POS_NOM_X = "Pos.Nom.X"
POS_NOM_Y = "Pos.Nom.Y"
BKG_SUM = "Bkg.Sum"
BKG_AREA = "Bkg.Area"
BKG_MEAN = "Bkg.Mean"
BKG_MEDIAN = "Bkg.Median"
BKG_STDDEV = "Bkg.StdDev"
SPOT_SUM = "Spot.Sum"
SPOT_AREA = "Spot.Area"
SPOT_MEAN = "Spot.Mean"
SPOT_MEDIAN = "Spot.Median"
SPOT_STDDEV = "Spot.StdDev"
# replacement column names
POS_ID = "Pos.Id"
SPOT_FOUND = "Spot.Found"
SPOT_DIAMETER = "Spot.Diameter"
SPOT_SATURATION = "Spot.Saturation"
# some csv columns are just named poorly
CSV_RENAME_MAP = {
" ID ": POS_ID,
"Found": SPOT_FOUND,
"Dia.": SPOT_DIAMETER,
"Spot.Sat. (%)": SPOT_SATURATION,
}
# meta data extracted from filename and path
ANALYSIS_NAME = "Analysis.Name"
EXPOSURE_ID = "Exposure.Id"
WELL_NAME = "Well.Name"
WELL_ROW = "Well.Row"
WELL_COLUMN = "Well.Column"
# parsed measurement parameter information (optional, from parameters folder)
PARAMETERS_TIME = "Parameters.Time"
PARAMETERS_CHANNEL = "Parameters.Channel"
PARSED_DATA_COLUMN_SET = {
ANALYSIS_NAME,
WELL_NAME,
WELL_ROW,
WELL_COLUMN,
EXPOSURE_ID,
POS_X,
POS_Y,
POS_ID,
POS_NOM_X,
POS_NOM_Y,
BKG_SUM,
BKG_AREA,
BKG_MEAN,
BKG_MEDIAN,
BKG_STDDEV,
SPOT_SUM,
SPOT_AREA,
SPOT_MEAN,
SPOT_FOUND,
SPOT_MEDIAN,
SPOT_STDDEV,
SPOT_DIAMETER,
SPOT_SATURATION,
PARAMETERS_CHANNEL,
PARAMETERS_TIME,
}
# list of columns to ensure a pandas numeric type
NUMERIC_COLUMNS = {
POS_ID,
WELL_COLUMN,
EXPOSURE_ID,
POS_X,
POS_Y,
POS_NOM_X,
POS_NOM_Y,
SPOT_SUM,
BKG_SUM,
BKG_MEAN,
BKG_MEDIAN,
BKG_STDDEV,
SPOT_MEAN,
SPOT_MEDIAN,
SPOT_STDDEV,
SPOT_DIAMETER,
SPOT_SATURATION,
}
# set of columns where values are directly dependent on exposure time
EXPOSURE_DEPENDENT_COLUMNS = {
BKG_SUM,
BKG_MEAN,
BKG_MEDIAN,
BKG_STDDEV,
SPOT_SUM,
SPOT_MEAN,
SPOT_MEDIAN,
SPOT_STDDEV,
}
# common indexes
INDEX_COLUMNS_WELL = (
ANALYSIS_NAME,
WELL_NAME,
WELL_ROW,
)
INDEX_COLUMNS_POS = (
ANALYSIS_NAME,
WELL_NAME,
WELL_ROW,
POS_ID,
)