{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:UMBIKTZKWT3LNOCJ36CDE6DDLG","short_pith_number":"pith:UMBIKTZK","schema_version":"1.0","canonical_sha256":"a302854f2ab4f6b6b849df84327863599e18af40f31d20042ff543f313c4da25","source":{"kind":"arxiv","id":"2407.21233","version":1},"attestation_state":"computed","paper":{"title":"TMA-Grid: An open-source, zero-footprint web application for FAIR Tissue MicroArray De-arraying","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"q-bio.TO","authors_text":"Aaron Ge, Jeya Balasubramanian, Jonas S. Almeida, Maire A. Duggan, Monjoy Saha, Montserrat Garc\\'ia-Closas, Mustapha Abubakar, Petra Lenz, Praphulla MS Bhawsar","submitted_at":"2024-07-30T22:40:32Z","abstract_excerpt":"Background:\n  Tissue Microarrays (TMAs) significantly increase analytical efficiency in histopathology and large-scale epidemiologic studies by allowing multiple tissue cores to be scanned on a single slide. The individual cores can be digitally extracted and then linked to metadata for analysis in a process known as de-arraying. However, TMAs often contain core misalignments and artifacts due to assembly errors, which can adversely affect the reliability of the extracted cores during the de-arraying process. Moreover, conventional approaches for TMA de-arraying rely on desktop solutions.There"},"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":"2407.21233","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.TO","submitted_at":"2024-07-30T22:40:32Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"c10584c0704901dca50e516faa9bed5ae3a7ef00a765ffa5394db9b91852631e","abstract_canon_sha256":"fbc8d4ce62785dd6afe2790c6e3199d007e3e6df126f9ac32adabd23e2ed2fc2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:50:36.341652Z","signature_b64":"pdbCi+yLR3tRWapI5ytwAB5MaZIb/SDEEyRhF4YeApy7tZwdCqyOM28mesU/l3jr3FpKMxvIPzfGIr7VdmA2BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a302854f2ab4f6b6b849df84327863599e18af40f31d20042ff543f313c4da25","last_reissued_at":"2026-07-05T08:50:36.341178Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:50:36.341178Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"TMA-Grid: An open-source, zero-footprint web application for FAIR Tissue MicroArray De-arraying","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"q-bio.TO","authors_text":"Aaron Ge, Jeya Balasubramanian, Jonas S. Almeida, Maire A. Duggan, Monjoy Saha, Montserrat Garc\\'ia-Closas, Mustapha Abubakar, Petra Lenz, Praphulla MS Bhawsar","submitted_at":"2024-07-30T22:40:32Z","abstract_excerpt":"Background:\n  Tissue Microarrays (TMAs) significantly increase analytical efficiency in histopathology and large-scale epidemiologic studies by allowing multiple tissue cores to be scanned on a single slide. The individual cores can be digitally extracted and then linked to metadata for analysis in a process known as de-arraying. However, TMAs often contain core misalignments and artifacts due to assembly errors, which can adversely affect the reliability of the extracted cores during the de-arraying process. Moreover, conventional approaches for TMA de-arraying rely on desktop solutions.There"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.21233","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2407.21233/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2407.21233","created_at":"2026-07-05T08:50:36.341241+00:00"},{"alias_kind":"arxiv_version","alias_value":"2407.21233v1","created_at":"2026-07-05T08:50:36.341241+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.21233","created_at":"2026-07-05T08:50:36.341241+00:00"},{"alias_kind":"pith_short_12","alias_value":"UMBIKTZKWT3L","created_at":"2026-07-05T08:50:36.341241+00:00"},{"alias_kind":"pith_short_16","alias_value":"UMBIKTZKWT3LNOCJ","created_at":"2026-07-05T08:50:36.341241+00:00"},{"alias_kind":"pith_short_8","alias_value":"UMBIKTZK","created_at":"2026-07-05T08:50:36.341241+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/UMBIKTZKWT3LNOCJ36CDE6DDLG","json":"https://pith.science/pith/UMBIKTZKWT3LNOCJ36CDE6DDLG.json","graph_json":"https://pith.science/api/pith-number/UMBIKTZKWT3LNOCJ36CDE6DDLG/graph.json","events_json":"https://pith.science/api/pith-number/UMBIKTZKWT3LNOCJ36CDE6DDLG/events.json","paper":"https://pith.science/paper/UMBIKTZK"},"agent_actions":{"view_html":"https://pith.science/pith/UMBIKTZKWT3LNOCJ36CDE6DDLG","download_json":"https://pith.science/pith/UMBIKTZKWT3LNOCJ36CDE6DDLG.json","view_paper":"https://pith.science/paper/UMBIKTZK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2407.21233&json=true","fetch_graph":"https://pith.science/api/pith-number/UMBIKTZKWT3LNOCJ36CDE6DDLG/graph.json","fetch_events":"https://pith.science/api/pith-number/UMBIKTZKWT3LNOCJ36CDE6DDLG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UMBIKTZKWT3LNOCJ36CDE6DDLG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UMBIKTZKWT3LNOCJ36CDE6DDLG/action/storage_attestation","attest_author":"https://pith.science/pith/UMBIKTZKWT3LNOCJ36CDE6DDLG/action/author_attestation","sign_citation":"https://pith.science/pith/UMBIKTZKWT3LNOCJ36CDE6DDLG/action/citation_signature","submit_replication":"https://pith.science/pith/UMBIKTZKWT3LNOCJ36CDE6DDLG/action/replication_record"}},"created_at":"2026-07-05T08:50:36.341241+00:00","updated_at":"2026-07-05T08:50:36.341241+00:00"}