Objects in 3D sometimes (actually always) move while you scan and then rescan them, which although sounds like a disadvantage can be an advantage. Then you can detect sub-3D areas within the volume that distort extracting their direction and magnitude which you can derive to evaluate extraction values for stress, growth or decay (compression).

To extract these shifts in 3D space a process called Digital Volume Correlation which is employed that is computationally intensive. The team at the CCPi (https://www.ccpi.ac.uk/) have developed new interface code and also a logo – relevant as we are considering new logos for the CCPi Core Imaging Library (CIL).

Anaconda link: https://anaconda.org/ccpi/ccpi-dvc