{"id":"https://openalex.org/W4415524620","doi":"https://doi.org/10.1109/mlsp62443.2025.11204220","title":"Ptychographic Image Reconstruction from Limited Data via Score-Based Diffusion Models with Physics-Guidance","display_name":"Ptychographic Image Reconstruction from Limited Data via Score-Based Diffusion Models with Physics-Guidance","publication_year":2025,"publication_date":"2025-08-31","ids":{"openalex":"https://openalex.org/W4415524620","doi":"https://doi.org/10.1109/mlsp62443.2025.11204220"},"language":null,"primary_location":{"id":"doi:10.1109/mlsp62443.2025.11204220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp62443.2025.11204220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 35th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051439033","display_name":"Refik Mert \u00c7am","orcid":"https://orcid.org/0009-0008-3527-4905"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Refik M. Cam","raw_affiliation_strings":["University of Illinois Urbana-Champaign,IL,USA,61801"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign,IL,USA,61801","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014469662","display_name":"Junjing Deng","orcid":"https://orcid.org/0000-0003-4472-3385"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junjing Deng","raw_affiliation_strings":["Argonne National Laboratory,IL,USA,60439"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory,IL,USA,60439","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068373159","display_name":"Rajkumar Kettimuthu","orcid":"https://orcid.org/0000-0002-0046-9883"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rajkumar Kettimuthu","raw_affiliation_strings":["Argonne National Laboratory,IL,USA,60439"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory,IL,USA,60439","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066462592","display_name":"Mathew J. Cherukara","orcid":"https://orcid.org/0000-0002-1475-6998"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mathew J. Cherukara","raw_affiliation_strings":["Argonne National Laboratory,IL,USA,60439"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory,IL,USA,60439","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038566298","display_name":"Tekin Bi\u00e7er","orcid":"https://orcid.org/0000-0002-8428-5159"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tekin Bicer","raw_affiliation_strings":["Argonne National Laboratory,IL,USA,60439"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory,IL,USA,60439","institution_ids":["https://openalex.org/I1282105669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.5378,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.95608351,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9294999837875366,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9294999837875366,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5895000100135803},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5256999731063843},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5001999735832214},{"id":"https://openalex.org/keywords/ptychography","display_name":"Ptychography","score":0.47099998593330383},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4690000116825104},{"id":"https://openalex.org/keywords/reconstruction-algorithm","display_name":"Reconstruction algorithm","score":0.42559999227523804},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4203000068664551},{"id":"https://openalex.org/keywords/data-reduction","display_name":"Data reduction","score":0.4074999988079071},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.3643999993801117},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.35420000553131104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.617900013923645},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5954999923706055},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5895000100135803},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5364000201225281},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5256999731063843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5131999850273132},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5001999735832214},{"id":"https://openalex.org/C78153596","wikidata":"https://www.wikidata.org/wiki/Q7257147","display_name":"Ptychography","level":3,"score":0.47099998593330383},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4690000116825104},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.42559999227523804},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4203000068664551},{"id":"https://openalex.org/C153914771","wikidata":"https://www.wikidata.org/wiki/Q5227343","display_name":"Data reduction","level":2,"score":0.4074999988079071},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3643999993801117},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.35420000553131104},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.35350000858306885},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.3506999909877777},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.3441999852657318},{"id":"https://openalex.org/C68710425","wikidata":"https://www.wikidata.org/wiki/Q5275442","display_name":"Diffusion process","level":3,"score":0.34369999170303345},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3409999907016754},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.33399999141693115},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33239999413490295},{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.30550000071525574},{"id":"https://openalex.org/C55037315","wikidata":"https://www.wikidata.org/wiki/Q5421151","display_name":"Experimental data","level":2,"score":0.3043999969959259},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.3012999892234802},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C207114421","wikidata":"https://www.wikidata.org/wiki/Q133900","display_name":"Diffraction","level":2,"score":0.2842000126838684},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.28119999170303345},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28040000796318054},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.27889999747276306},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C12952745","wikidata":"https://www.wikidata.org/wiki/Q5141350","display_name":"Coherent diffraction imaging","level":4,"score":0.2583000063896179}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp62443.2025.11204220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp62443.2025.11204220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 35th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G102163711","display_name":null,"funder_award_id":"DE\u2010 AC02\u201006CH11357","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"}],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2142949395","https://openalex.org/W2728611525","https://openalex.org/W2772629285","https://openalex.org/W2962850795","https://openalex.org/W3007912468","https://openalex.org/W3046390341","https://openalex.org/W3127764271","https://openalex.org/W3167890826","https://openalex.org/W3172225290","https://openalex.org/W4296690239","https://openalex.org/W4312497550","https://openalex.org/W4388017392","https://openalex.org/W4388328602","https://openalex.org/W4392546234","https://openalex.org/W4392581088"],"related_works":[],"abstract_inverted_index":{"Ptychography":[0],"is":[1],"a":[2,21,59,63,71,100,107,134,145,155],"data-intensive":[3],"computational":[4],"imaging":[5],"technique":[6,18],"that":[7,125],"achieves":[8,129],"high":[9],"spatial":[10],"resolution":[11],"over":[12],"large":[13],"fields":[14],"of":[15],"view.":[16],"The":[17],"involves":[19],"scanning":[20],"coherent":[22],"beam":[23],"across":[24,115],"overlapping":[25],"regions":[26],"and":[27,40,47,120],"recording":[28],"diffraction":[29],"patterns.":[30],"Conventional":[31],"reconstruction":[32,60],"algorithms":[33],"require":[34],"substantial":[35],"overlap,":[36,137],"increasing":[37],"data":[38,46,51,94,159],"volume":[39],"experimental":[41,45],"time,":[42],"reaching":[43],"PiB-scale":[44],"weeks":[48],"to":[49,78,92,113,149,164],"month-long":[50],"acquisition":[52],"times.":[53],"To":[54],"address":[55],"this,":[56],"we":[57,86],"propose":[58],"method":[61,105,128,143],"employing":[62],"physics-guided":[64],"score-based":[65],"diffusion":[66,72,90,98],"model.":[67],"Our":[68,122],"approach":[69],"trains":[70],"model":[73],"on":[74],"representative":[75],"object":[76,81],"images":[77],"learn":[79],"an":[80,162],"distribution":[82],"prior.":[83],"During":[84],"reconstruction,":[85],"modify":[87],"the":[88,126,139],"reverse":[89,97],"process":[91],"enforce":[93],"consistency,":[95],"guiding":[96],"toward":[99],"physically":[101],"plausible":[102],"solution.":[103],"This":[104,153],"requires":[106,144],"single":[108],"pretraining":[109],"phase,":[110],"allowing":[111],"it":[112],"generalize":[114],"varying":[116],"scan":[117],"overlap":[118,148],"ratios":[119],"positions.":[121],"results":[123],"demonstrate":[124],"proposed":[127],"high-fidelity":[130],"reconstructions":[131],"with":[132],"only":[133],"20":[135],"%":[136,147],"while":[138],"widely":[140],"employed":[141],"rPIE":[142],"62":[146],"achieve":[150],"similar":[151],"accuracy.":[152],"represents":[154],"significant":[156],"reduction":[157],"in":[158],"requirements,":[160],"offering":[161],"alternative":[163],"conventional":[165],"techniques.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-24T00:00:00"}