{"ID":2875759,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.01180","arxiv_id":"2509.01180","title":"Beyond Exhaustive Sampling: Efficient Rotational Matching via Ball Harmonics","abstract":"Cryo-ET allows to generate tomograms of biological samples in situ, capturing complex structures in their native context. Despite low signal-to-noise ratio in reconstructed volumes, the large number of copies of the same macromolecules makes it possible to retrieve high-resolution maps by averaging many aligned subtomograms. To keep up with technical advances in the imaging process and the resulting huge amounts of data available, there is a need for scalable, fast and robust procedures to align subtomograms. We propose a subtomogram alignment framework based on the ball harmonics expansion that combines frequency- and gradient-based optimization strategies to avoid exhaustive rotation sampling, enabling a speed-up of an order of magnitude compared to current approaches.","short_abstract":"Cryo-ET allows to generate tomograms of biological samples in situ, capturing complex structures in their native context. Despite low signal-to-noise ratio in reconstructed volumes, the large number of copies of the same macromolecules makes it possible to retrieve high-resolution maps by averaging many aligned subtomo...","url_abs":"https://arxiv.org/abs/2509.01180","url_pdf":"https://arxiv.org/pdf/2509.01180v1","authors":"[\"Fabian Kruse\",\"Vinith Kishore\",\"Valentin Debarnot\",\"Ivan Dokmanić\"]","published":"2025-09-01T07:00:26Z","proceeding":"eess.SP","tasks":"[\"eess.SP\",\"q-bio.QM\"]","methods":"[]","has_code":false}