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by Joe Webb

Felix ML is a machine learning approach to diffraction patterns. It serves as a proof of concept that the field of microscopy can be greatly aided by the use of machine learning: electron diffraction experiments are expensive, existing computational methods are time-consuming, and machine learning has the benefit of being neither.

Felix ML owes itself to many wonderful existing projects and tools: