{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:PXZ45SENNXLRALXET6LKVLCB7O","short_pith_number":"pith:PXZ45SEN","schema_version":"1.0","canonical_sha256":"7df3cec88d6dd7102ee49f96aaac41fbae4ef5de80b74a7a5ee465543fb62dcb","source":{"kind":"arxiv","id":"1308.0730","version":3},"attestation_state":"computed","paper":{"title":"Efficient Bayesian-based Multi-View Deconvolution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.QM","authors_text":"Eugene Myers, Evangelia Stamataki, Fernando Amat, Mihail Sarov, Pavel Tomancak, Robert H. Singer, Stephan Preibisch","submitted_at":"2013-08-03T19:09:22Z","abstract_excerpt":"Light sheet fluorescence microscopy is able to image large specimen with high resolution by imaging the sam- ples from multiple angles. Multi-view deconvolution can significantly improve the resolution and contrast of the images, but its application has been limited due to the large size of the datasets. Here we present a Bayesian- based derivation of multi-view deconvolution that drastically improves the convergence time and provide a fast implementation utilizing graphics hardware."},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1308.0730","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2013-08-03T19:09:22Z","cross_cats_sorted":[],"title_canon_sha256":"eac5e3a61a9153b0d82660d6db7eba62f2a6869b06f011a5a66090424c094366","abstract_canon_sha256":"b8aaefd817cb5ce8a3a141a9b48bd5e79f1f8d6679430845601a6ee7f86e34e2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:32:22.626218Z","signature_b64":"fpexGMzHRRlnlXSKIc9SClozzNCqJcRP54Ttw739V6x6DhtGA1KnCZLFoGnxWIrtt+e56EdWd31/rStfY+0NDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7df3cec88d6dd7102ee49f96aaac41fbae4ef5de80b74a7a5ee465543fb62dcb","last_reissued_at":"2026-05-18T02:32:22.625777Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:32:22.625777Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Efficient Bayesian-based Multi-View Deconvolution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.QM","authors_text":"Eugene Myers, Evangelia Stamataki, Fernando Amat, Mihail Sarov, Pavel Tomancak, Robert H. Singer, Stephan Preibisch","submitted_at":"2013-08-03T19:09:22Z","abstract_excerpt":"Light sheet fluorescence microscopy is able to image large specimen with high resolution by imaging the sam- ples from multiple angles. Multi-view deconvolution can significantly improve the resolution and contrast of the images, but its application has been limited due to the large size of the datasets. Here we present a Bayesian- based derivation of multi-view deconvolution that drastically improves the convergence time and provide a fast implementation utilizing graphics hardware."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1308.0730","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1308.0730","created_at":"2026-05-18T02:32:22.625848+00:00"},{"alias_kind":"arxiv_version","alias_value":"1308.0730v3","created_at":"2026-05-18T02:32:22.625848+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1308.0730","created_at":"2026-05-18T02:32:22.625848+00:00"},{"alias_kind":"pith_short_12","alias_value":"PXZ45SENNXLR","created_at":"2026-05-18T12:27:57.521954+00:00"},{"alias_kind":"pith_short_16","alias_value":"PXZ45SENNXLRALXE","created_at":"2026-05-18T12:27:57.521954+00:00"},{"alias_kind":"pith_short_8","alias_value":"PXZ45SEN","created_at":"2026-05-18T12:27:57.521954+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/PXZ45SENNXLRALXET6LKVLCB7O","json":"https://pith.science/pith/PXZ45SENNXLRALXET6LKVLCB7O.json","graph_json":"https://pith.science/api/pith-number/PXZ45SENNXLRALXET6LKVLCB7O/graph.json","events_json":"https://pith.science/api/pith-number/PXZ45SENNXLRALXET6LKVLCB7O/events.json","paper":"https://pith.science/paper/PXZ45SEN"},"agent_actions":{"view_html":"https://pith.science/pith/PXZ45SENNXLRALXET6LKVLCB7O","download_json":"https://pith.science/pith/PXZ45SENNXLRALXET6LKVLCB7O.json","view_paper":"https://pith.science/paper/PXZ45SEN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1308.0730&json=true","fetch_graph":"https://pith.science/api/pith-number/PXZ45SENNXLRALXET6LKVLCB7O/graph.json","fetch_events":"https://pith.science/api/pith-number/PXZ45SENNXLRALXET6LKVLCB7O/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PXZ45SENNXLRALXET6LKVLCB7O/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PXZ45SENNXLRALXET6LKVLCB7O/action/storage_attestation","attest_author":"https://pith.science/pith/PXZ45SENNXLRALXET6LKVLCB7O/action/author_attestation","sign_citation":"https://pith.science/pith/PXZ45SENNXLRALXET6LKVLCB7O/action/citation_signature","submit_replication":"https://pith.science/pith/PXZ45SENNXLRALXET6LKVLCB7O/action/replication_record"}},"created_at":"2026-05-18T02:32:22.625848+00:00","updated_at":"2026-05-18T02:32:22.625848+00:00"}