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.
Automated segmentation of soft X-ray tomography: native cellular structure with sub-micron resolution at high throughput for whole-cell quantitative imaging in yeast
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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.