Location: Electron Microscopy Innovative Technologies (EMIT), 222 Pitkin St. Suite 104, East Hartford, CT 06108 Date: Thursday, February 26, 2026
Traditional electron backscatter diffraction (EBSD) indexing methods utilize the Hough transform, which has been in use since the early days of automated EBSD. The Hough transform is useful for its computational scalability, enabling live indexing of patterns. This scalability stems from the transform's ability to reduce data to levels manageable by modern PCs within a reasonable timeframe. However, this method overlooks a significant amount of potentially useful information in the patterns.
Recently, new forward-model indexing techniques are emerging that offer enhanced EBSD indexing performance by comparing experimental EBSD patterns with simulated ones to identify the best match. One such approach is called spherical indexing, which leverages modern graphics processing units (GPUs) to deliver improved indexing at rates exceeding 10,000 points per second.
This workshop explores how spherical indexing works and how it expands the application space, enabling researchers to address questions that are previously unanswerable.
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Workshop Agenda
Note: This agenda is subject to change based on participants' needs and interests. Hands-on sessions should allow participants to work with the system and ask questions.