Digital Volume Correlation. Training on iDVC

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Digital Volume Correlation. Training on iDVC

Digital volume correlation (DVC) is used in material science to quantify the internal displacements and strain fields from in situ tomography experiments.

This workshop will cover the theory of in situ tomography experiments and DVC analysis, followed by a practical session using the Collaborative Computational Project in Tomographic Imaging (CCPi) iDVC app.

The app has been designed to make the DVC code used in references [1] and [2] more accessible as a distributable anaconda environment. An interactive interface and visualisations in the app during setup, running and displaying results provides a guided workflow.

Download an example_pointcloud for the training.

 

  1. Madi, et al., 2020. Nature biomedical engineering, 4(3), pp.343-354.
  2. Disney, et al., 2022. Acta biomaterialia, 138, pp.361-374.
Schedule and registration

Only a limited number of places will be available at this stage, so if you don’t get a ticket you can still register your interest and we will organise more training in the future.

Schedule

9:30 – 9:45 Arrival
9:45 – 11:00 Presentation: Background and theory of image correlation
11:00 – 11:15 Break
11: 15 – 12:30 Hands on iDVC: guided installation and DVC workflow overview
12:30 – 13:15 Lunch (provided)
13:15 – 16:00 DVC deep dive, possibly bring your own data? (raw files and TIFF)

Download a training dataset an example_pointcloud for the training.

Download data for training

Download a training dataset an example_pointcloud for the training.

Additional material

Visit the Documentation for the iDVC app.

A seminar on the method for DVC from Prof. Brian Bay can be found on YouTube

 

Below a video of a previous version of the app.

December 6, 2022

9:30 am

Register to the workshop