TomoPicker: Annotation-Efficient Particle Picking in cryo-electron Tomograms.

Particle picking in cryo-electron tomograms (cryo-ET) is crucial for in situ structure detection of macromolecules and protein complexes. The traditional template-matching-based approaches for particle picking suffer from template-specific biases and have low throughput. Given these problems, learning-based solutions are necessary for particle picking.