A multiview opinion fusion machine learning (MVOF-ML) framework for automated crystal system identification in 4D-STEM is developed (Fig. ), wherein a series of DPs is analyzed to make a final decision on the crystal system. To realize this framework, a CNN is trained to predict the probability that a crystal belongs to each crystal systems (the "opinion") and then extract the model's confidence for that opinion (i.e., the uncertainty quantification) . Next, the opinions are automatically fused under consideration of uncertainty during the accumulation of DPs. A final decision on the classification of the crystal system is made once the confidence is above (or the uncertainty is below) a desired threshold.