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.
Near-native state imaging by cryo-soft-X-ray tomography reveals remodelling of multiple cellular organelles during HSV-1 infection
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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.