{"id":"W4415235415","doi":"10.1093/mam/ozaf139","title":"Relaxing Direct Ptychography Sampling Requirements via Parallax Imaging Insights","year":2025,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"Research Ireland; U.S. Department of Energy","keywords":"Ptychography; Sampling (signal processing); Parallax; Phase retrieval; Aliasing; Nyquist–Shannon sampling theorem; Upsampling; Undersampling; Interference (communication)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006190455,0.0006375907,0.0004111083,0.0002418954,0.0002654557,0.0008879517,0.0007143258,0.0005147034,0.002643053],"category_scores_gemma":[0.002170077,0.0003431195,0.0002342669,0.000262921,0.001025496,0.001608448,0.001095192,0.001224466,0.0005865414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006031912,"about_ca_system_score_gemma":0.0009614808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008873927,"about_ca_topic_score_gemma":0.001184251,"domain_scores_codex":[0.9996065,0.00005924211,0.00001237389,0.00004432402,0.0002395792,0.00003786429],"domain_scores_gemma":[0.9992317,0.0003665362,0.0001089979,0.0001393925,0.0001184441,0.0000350336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000141667,0.0001228731,0.0009395679,0.0003623988,0.0000202396,0.0006105909,0.0003865726,0.1963112,0.3439561,0.420165,0.002072826,0.03491099],"study_design_scores_gemma":[0.00001686444,0.00007672646,0.0002770511,0.00001391719,0.00000598208,0.0003084592,0.00004547349,0.9252385,0.04781671,0.02306924,0.003112026,0.00001906522],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0461414,0.0001593374,0.9471445,0.0003595589,0.00003247098,0.00003650675,0.00006024562,0.000204928,0.005860996],"genre_scores_gemma":[0.6009114,0.001057218,0.3897999,0.0001834763,0.00006803447,0.00013156,0.0001189595,0.0003178454,0.007411499],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002643053,"threshold_uncertainty_score":0.008841872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009577706022866263,"score_gpt":0.3052645267539319,"score_spread":0.2956868207310656,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}