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. 

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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

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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.

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Day 1

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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)

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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

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Day 2

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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.)

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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

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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.

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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.

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Day 1:

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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 

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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

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Day 2: 

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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   

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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)