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.
- Madi, et al., 2020. Nature biomedical engineering, 4(3), pp.343-354.
- 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 both reference and correlate files (2.4 Gb each) from the training dataset, and an example_pointcloud for the training.
Installing iDVC
To install iDVC, follow these install instructions.
If you are unable to get the instructions working, instead download an environment file.
For Windows:
Download: idvc22.3.0.windows.yml
Run: ‘ conda env create -f idvc22.3.0.windows.yml ‘
For Linux:
Download: idvc22.3.0.linux.yml
Run: ‘ conda env create -f idvc22.3.0.linux.yml ‘
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.