Skip to main content

SEM-BSE-EDS image analysis

Project description

edxia

Analyse SEM-BSE and SEM-EDS maps.

Scanning Electron Microscopy (SEM) coupled with Energy-Dispersive Spectroscopy (EDX) is an imaging technique used in the cement community to learn more about the microstructure of the material.

This python package aims to offer tools to analyse and correlate this information.

Features

  • Superpixel subsampling to extract representative points from the maps
  • A Glue plugins to provide a user-friendly way to identify phases using the well-known ratios plots
  • Analysis functions to measure phase distributions, also available graphically
  • Python API to automate analysis
  • Based on robust and well-known framework such as scipy/scikit-image/pandas

References

  • Fabien Georget, William Wilson, Karen Scrivener, Comprehensive microstructure phase characterization from quantified SEM-EDS maps in cementitious materials, in preparation

Install

edxia can be installed using pip or conda.

pip install edxia

ou

conda install -c specmicp edxia

About

This code is developed by Fabien Georget (fabien "dot" georget "AT" epfl "dot" ch) in the laboratory of construction materials at EPFL. This work is part of a collaboration with William Wilson (EPFL, Sherbrooke University).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

edxia-0.1.8.tar.gz (50.0 kB view details)

Uploaded Source

Built Distribution

edxia-0.1.8-py3-none-any.whl (173.2 kB view details)

Uploaded Python 3

File details

Details for the file edxia-0.1.8.tar.gz.

File metadata

  • Download URL: edxia-0.1.8.tar.gz
  • Upload date:
  • Size: 50.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.23.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.7.9

File hashes

Hashes for edxia-0.1.8.tar.gz
Algorithm Hash digest
SHA256 c86a06cf5eb73d75c4453b8ecf115c8948e9e43ce696243335702e11fb0a395f
MD5 b1739856451f1c848654a8cbb3c90941
BLAKE2b-256 71a7f12292db4def80a863b72a883d9b24153b4b15b793547647b0f9bb1e9a52

See more details on using hashes here.

File details

Details for the file edxia-0.1.8-py3-none-any.whl.

File metadata

  • Download URL: edxia-0.1.8-py3-none-any.whl
  • Upload date:
  • Size: 173.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.23.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.7.9

File hashes

Hashes for edxia-0.1.8-py3-none-any.whl
Algorithm Hash digest
SHA256 ac5157904f4ea95dd8d4c1622df329ba1d0a72aea92810f4714123ef22d2372a
MD5 8e22c992e867d4023a5c9e45d9b957ae
BLAKE2b-256 f63f02eacf11878ab3ff36141d09e13f36b1333f9742e6673676d3994b24bee7

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page