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MARCIA - MAsking spectRosCopIc dAtacube

DOI PyPI

Extension of Manual classifier for µXRF and EDS/SEM hypercubes

  • Classification is achieved by defining masks that are linear combination of elemental intensities in spectra.
  • Classes can then be extracted and read with hyperspy or PyMca or Esprit
  • Help for the MARCIA user : file of plages = ranges for each element

Install Python dependencies

Just do

python setup.py develop

Use in python

from MARCIA-Plages.maskSigma import Mask

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  • Python 100.0%