Software for Practical Analysis of Materials: Image Based Quantification across Communities
DescriptionThe software for practical analysis for materials -- a relatively mature python project developed with modern coding practices -- is rapidly becoming a standard in in the world of experimental 3D mechanics as well as granular mechanics and is used in fields as wide as neuron-spine imaging to rock mechanics. The proposed algorithms are perfectly described by being across scales, communities and modalities, and generally fall into the category of advanced 3D image analysis with a particular penchant for 3D+t and 3D multimodal data, with a fully fledged DVC and registration suite. We will present examples of the code, insights into the development and fostering of a user community, and discuss the recent interest in scaling up the code's performance for deployment at several synchrotron beamlines.
TimeWednesday, June 2811:30 - 12:00 CEST
Computer Science, Machine Learning, and Applied Mathematics