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-0.1.9.tar.gz (52.5 kB view details)

Uploaded Source

Built Distribution

edxia-0.1.9-py3-none-any.whl (173.8 kB view details)

Uploaded Python 3

File details

Details for the file edxia-0.1.9.tar.gz.

File metadata

  • Download URL: edxia-0.1.9.tar.gz
  • Upload date:
  • Size: 52.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for edxia-0.1.9.tar.gz
Algorithm Hash digest
SHA256 acc75d477636c6c766b22f81a385abf91cce78c658ce5efc358b51b532ab815c
MD5 c55669ffa60231a5573c4b4f330b5555
BLAKE2b-256 02e16d941e9c3c4547eb3d6f0887e4c4e03fdaa75244c0e48f4133f0c959da57

See more details on using hashes here.

File details

Details for the file edxia-0.1.9-py3-none-any.whl.

File metadata

  • Download URL: edxia-0.1.9-py3-none-any.whl
  • Upload date:
  • Size: 173.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.1.3 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for edxia-0.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 8b1780be3bd98f65e5af2816c0f1ce09cabab7bcdebb383c773e49191c2ab649
MD5 058f1e8e7319080fd839987424faf3bf
BLAKE2b-256 7edafc8cb73df51ffd5e1d8088d2ba3ce60a85bd17fb909986100233187f868f

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