{"paper":{"title":"Drift Correction of Scan Images by Snapshot Referencing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"A fast high-signal snapshot image is used as a drift-free reference to calculate and remove continuous pixel-by-pixel drift vectors from slow analytical scans.","cross_cats":["cond-mat.mtrl-sci","physics.comp-ph"],"primary_cat":"physics.ins-det","authors_text":"Kanto Maeda, Qiwen Tan, Taka-aki Yano, Takumi Sannomiya, Tetsuya Kubota, Zac Thollar","submitted_at":"2026-04-21T12:07:22Z","abstract_excerpt":"Reliable quantitative analysis in scanning (transmission) electron microscopy (S(T)EM) is often hindered by image drift during long-duration spectral mapping for elemental analysis or for various material functions. We here present snapshot-referencing (SSR) drift correction, a retrospective approach to eliminate spatial distortion based on the temporal nature of the scanning process. A continuous drift vector for every pixel is calculated for a normalized time-field of the scan pattern (e.g., serpentine or raster) utilizing a high-signal, fast-scan \"snapshot\" as a drift-free reference to guid"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"A continuous drift vector for every pixel is calculated for a normalized time-field of the scan pattern utilizing a high-signal, fast-scan snapshot as a drift-free reference to guide the correction of simultaneously acquired analytical maps.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"The fast-scan snapshot is completely drift-free and the actual drift can be adequately represented by the chosen Bezier or piecewise-linear basis functions.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"Snapshot-referencing drift correction models and removes spatial distortions in S(T)EM scans by using a fast snapshot reference and Bezier or piecewise-linear basis functions to restore hyperspectral data integrity.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"A fast high-signal snapshot image is used as a drift-free reference to calculate and remove continuous pixel-by-pixel drift vectors from slow analytical scans.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"9e906c2d4e4216eaf77f3cd096313f3a651fee4e740ef26b5fd0b8b4fd4a3de3"},"source":{"id":"2604.19384","kind":"arxiv","version":2},"verdict":{"id":"de8d84e7-93de-40ac-a89a-2d204551794f","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-10T00:51:32.162255Z","strongest_claim":"A continuous drift vector for every pixel is calculated for a normalized time-field of the scan pattern utilizing a high-signal, fast-scan snapshot as a drift-free reference to guide the correction of simultaneously acquired analytical maps.","one_line_summary":"Snapshot-referencing drift correction models and removes spatial distortions in S(T)EM scans by using a fast snapshot reference and Bezier or piecewise-linear basis functions to restore hyperspectral data integrity.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"The fast-scan snapshot is completely drift-free and the actual drift can be adequately represented by the chosen Bezier or piecewise-linear basis functions.","pith_extraction_headline":"A fast high-signal snapshot image is used as a drift-free reference to calculate and remove continuous pixel-by-pixel drift vectors from slow analytical scans."},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2604.19384/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"doi_compliance","ran_at":"2026-05-20T03:02:32.082622Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"a0d00b58b2ca9af81181029275615b3a7abaa5af79319cee2e58980b9b7cd072"},"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"}