SOURCE-LINKED INTELLIGENCE
Reconstruction-Aware Cryo-EM Particle Picking
Cryo-electron microscopy (cryo-EM) determines the structures of proteins and macromolecular assemblies at near-atomic resolution, and the final 3D reconstruction depends on extracting a clean particle stack from noisy micrographs. This extraction decomposes into three sub-tasks, namely particle picking, contamination removal, and 2D class selection. Each of them, however, is trained and evaluated in isolation, and none is optimized for the reconstruction. We instead integrate the three sub-tasks into a single pipeline posed against downstream reconstruction quality. We instantiate the pipeline
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-28T20:15:16.000Z
First collected: 2026-09-21T08:02:06.831Z. This is not the publication date.