Based on our experience and customers’ needs, we offer 2 training courses to extract relevant scientific information from tomographic data, with a good balance between theory and practice, using world-wide imaging and modelling softwares such as Amira-Avizo Software provided by Thermo Fisher Scientific.

 

We also provide custom-built training adapted to your needs and applications.

 

We would love to meet you in person and learn about your work. Please contact us for any advice or to book a training at kamel.madi@3dmagination.eu

Course 1 : Visualisation and quantification of tomographic data 

Learning objectives: overview of the X-ray CT imaging chain with guidelines to produce images of good quality, full quantification/visualisation of tomographic data and the impact of imaging noise and artefacts

The training is organised in two parts: theory (0.5 day) and computer-based practical works using the Amira-Avizo software (1.5 day). Coffee and refreshments are included each day.

Day 1

9.00-12.30: Introduction to X-ray CT

  • Production of X-ray

  • Interaction of X-ray with matter

  • Sinogram and CT reconstruction

  • CT artefacts

  • Practical guide to optimise imaging conditions

  • Assessment and tutorials to validate the learning objectives:

    • Socrative quiz (theory)

    • Learn how CT reconstruction works (software)

    • Case studies to learn how to optimise imaging parameters (tune spectrum, filters and materials using bespoke Excel macro)

13.30-17.30: Practical works 

  • Basics of image processing (voxel, structural element, neighbourhood, morphological tools, etc.)

  • Introduction to Avizo software

  • Import/manipulate 3D dataset

Day 2

9.00-12.30: Practical works

  • 3D visualisation based on grey-level (3D surface/volume rendering)

  • Filters

  • Basic and advanced segmentation (interactive thresholding, top-hat, watershed, region growing, etc.)

  • Quantification (particle size distribution, shape analysis, etc.)

13.30-17.30: Practical works

  • Registration of 3D dataset

  • Animation and movies

  • Final session: the users are invited to practise on their own dataset with the help of the trainers

Course 2 : In situ experiments and Digital Volume Correlation (DVC) 

Learning objectives: Digital Volume Correlation (DVC) has recently emerged as a powerful contactless, bulk strain measurement technique in experimental mechanics, materials science, and biomechanics. Learn about the importance of imaging noise and texture when using  DVC (displacement/strain accuracy, texture analysis, subset size, etc.), understand how to perform a DVC analysis, analyse and visualise the data in a sophisticated way.

The training is organised in two parts: theory (0.5 day) and computer-based practical works using Amira-Avizo software for Digital Volume Correlation (1.5 day): 

 

Coffee and refreshments are included each day.

Day 1:

9.00-12.30: Theory

  • In situ experiments coupled with X-ray CT

  • Optimise your experiment prior DVC

  • Introduction to Digital Volume Correlation

    • Principle

    • Texture, microstructure length scale

    •  Importance of noise and artefacts

    • Link with FE modelling 

13.30-17.30: Practical works

  • Introduction to Amira-Avizo software for DVC

  • Understand and exploit the texture using morphological tools

  • Quantify displacement/strain accuracy of real dataset

Day 2: 

9.00-12.30: Real case studies taken from our experience

  • Learn how to combine DVC with advanced image processing and visualise the data in a sophisticated way

    • Application 1: Investigate strain transfer, cracking and phase transformation in two-phase materials

    • Application 2: Learn how to couple DVC with micro-FE modelling   

13.30-17.30: Real case studies taken from user experience

  • Bring your own dataset and practise with the trainers to extract valuable information

Courtesy of L. Laiarinandrasana & T. Morgeneyer (Centre des Matériaux Mines ParisTech), and L. Helfen (European Synchrotron Radiation Facility; Karlsruhe Institute of Technology)