NAME

       pymcaroitool - PyMca region-of-interest imaging X application

SYNOPSIS

       pymcaroitool [OPTIONS]... [FILE(S)]

DESCRIPTION

       Start  the  graphical  user  interface  of the PyMca X-Ray Fluorescence Toolkit region-of-
       interest imaging tool.

       This tool is best  suited  for  handling  datasets  that  can  be  represented  by  three-
       dimensional  arrays.  Typical cases are stacks of images (first dimension is image number)
       or 2D maps of 1D spectra (last dimension is spectrum channel number).

       It allows one to display maps of particular  regions  of  the  spectra  or  spectra  of  a
       particular region of the map.

       A  system  of  plugins  allow  to  extend  the  capabilities  of  this  tool.  Plugins for
       multivariate analysis are already built in.

       If FILE is given, it will be opened in the program provided its format is supported.

EXAMPLES

       pymcaroitool

       Start the program with a file browser to select the input files.

       pymcaroitool file_0001.edf

       Tries to open the file named file_0001.edf and all indexed files of the form file_????.edf
       where ???? is a number.

       pymcaroitool --imagestack=1 file_0001.edf

       Tries to open the file named file_0001.edf and all indexed files of the form file_????.edf
       where ???? is a number as a set of images.

       pymcaroitool uncompressed_tiff_file_0001.tif

       Tries to open a series of uncompressed TIFF files as an image stack.

       pymcaroitool --begin=100 --end=200 --filepattern=file_%05d.edf

       Start the program loading the single indexed files from file_00100.edf to file_00200.edf

       pymcaroitool --begin=10,100 --end=20,200 --filepattern=row%d_col%03d.dat

       Load  the  double  indexed  files  from  row10_col100.dat,   row10_col101.dat,   ...    to
       row20_col00199.dat, row20_col00200.dat

CAVEATS

       If  files  f_000.xxx  and  f_001.xxx  are  present in the same directory, the program will
       always try to load both of them unless a cumbersome way using a file pattern is used.

SEE ALSO

       HDF5, h5py