SimAQ generates synthetic soft X-ray tomography data with realistic artifacts to train segmentation models that transfer effectively to real yeast tomograms via few-shot and zero-shot learning.
0.7 Å resolution electron tomography enabled by deep-learning-aided information recovery
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SimAQ: Mitigating Experimental Artifacts in Soft X-Ray Tomography using Simulated Acquisitions
SimAQ generates synthetic soft X-ray tomography data with realistic artifacts to train segmentation models that transfer effectively to real yeast tomograms via few-shot and zero-shot learning.