
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
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Production of X-ray
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Interaction of X-ray with matter
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Sinogram and CT reconstruction
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CT artefacts
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Practical guide to optimise imaging conditions
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Assessment and tutorials to validate the learning objectives:
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Socrative quiz (theory)
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Learn how CT reconstruction works (software)
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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
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Basics of image processing (voxel, structural element, neighbourhood, morphological tools, etc.)
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Introduction to Avizo software
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Import/manipulate 3D dataset
Day 2
9.00-12.30: Practical works
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3D visualisation based on grey-level (3D surface/volume rendering)
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Filters
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Basic and advanced segmentation (interactive thresholding, top-hat, watershed, region growing, etc.)
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Quantification (particle size distribution, shape analysis, etc.)
13.30-17.30: Practical works
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Registration of 3D dataset
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Animation and movies
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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
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In situ experiments coupled with X-ray CT
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Optimise your experiment prior DVC
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Introduction to Digital Volume Correlation
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Principle
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Texture, microstructure length scale
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Importance of noise and artefacts
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Link with FE modelling
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13.30-17.30: Practical works
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Introduction to Amira-Avizo software for DVC
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Understand and exploit the texture using morphological tools
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Quantify displacement/strain accuracy of real dataset
Day 2:
9.00-12.30: Real case studies taken from our experience
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Learn how to combine DVC with advanced image processing and visualise the data in a sophisticated way
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Application 1: Investigate strain transfer, cracking and phase transformation in two-phase materials
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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
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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)