| Abstract Scope |
Multi-modal serial-sectioning allows for the collection of unprecedented understanding of 3D microstructures. By leveraging multiple detectors, each with their own strengths and weaknesses, along with high levels of automation, one can collect 3D microstructures that contain thousand to hundreds of thousands of objects of interest, while maintaining high resolutions. Beyond the challenges of automation, there is also a significant challenge on how to effectively collect, manage incoming data streams (both in-situ and ex-situ), fuse, and finally analyze the data. In this talk we will outline how newly developed EBSD data processing methods were used to accelerate the collection during the serial-sectioning of additively manufactured 316L stainless-steel. We will also discuss strategies that attempt to balance computational efficiency, human readability, and various software platforms are used to maintain data integrity and utility of these three-dimensional datasets. |