{"id":"https://openalex.org/W4297097684","doi":"https://doi.org/10.1109/iccp54855.2022.9887701","title":"Dynamic Structured Illumination Microscopy with a Neural Space-time Model","display_name":"Dynamic Structured Illumination Microscopy with a Neural Space-time Model","publication_year":2022,"publication_date":"2022-08-01","ids":{"openalex":"https://openalex.org/W4297097684","doi":"https://doi.org/10.1109/iccp54855.2022.9887701"},"language":"en","primary_location":{"id":"doi:10.1109/iccp54855.2022.9887701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp54855.2022.9887701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Computational Photography (ICCP)","raw_type":"proceedings-article"},"type":"article","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/A5010971572","display_name":"Ruiming Cao","orcid":"https://orcid.org/0000-0002-0936-114X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ruiming Cao","raw_affiliation_strings":["Department of Bioengineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Bioengineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087878038","display_name":"Fanglin Linda Liu","orcid":"https://orcid.org/0000-0003-4498-5668"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fanglin Linda Liu","raw_affiliation_strings":["University of California, Berkeley,Department of Electrical Engineering and Computer Sciences,Berkeley,CA,94720"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Berkeley,Department of Electrical Engineering and Computer Sciences,Berkeley,CA,94720","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035634095","display_name":"Li-Hao Yeh","orcid":"https://orcid.org/0000-0003-2803-5996"},"institutions":[{"id":"https://openalex.org/I4210121800","display_name":"Chan Zuckerberg Initiative (United States)","ror":"https://ror.org/02qenvm24","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li-Hao Yeh","raw_affiliation_strings":["Chan Zuckerberg Biohub,San Francisco,CA,94158"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chan Zuckerberg Biohub,San Francisco,CA,94158","institution_ids":["https://openalex.org/I4210121800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013394127","display_name":"Laura Waller","orcid":"https://orcid.org/0000-0003-1243-2356"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Laura Waller","raw_affiliation_strings":["University of California, Berkeley,Department of Electrical Engineering and Computer Sciences,Berkeley,CA,94720"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Berkeley,Department of Electrical Engineering and Computer Sciences,Berkeley,CA,94720","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010971572"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.904,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90728226,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10540","display_name":"Advanced Fluorescence Microscopy Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10540","display_name":"Advanced Fluorescence Microscopy Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11897","display_name":"Digital Holography and Microscopy","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.793222963809967},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6969671845436096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6921339631080627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6775860786437988},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5209216475486755},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4945797622203827},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.42298054695129395},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.28533169627189636},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13940033316612244}],"concepts":[{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.793222963809967},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6969671845436096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6921339631080627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6775860786437988},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5209216475486755},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4945797622203827},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.42298054695129395},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28533169627189636},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13940033316612244},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccp54855.2022.9887701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccp54855.2022.9887701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Computational Photography (ICCP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1982608460","https://openalex.org/W1987206559","https://openalex.org/W2004058320","https://openalex.org/W2020399841","https://openalex.org/W2047933908","https://openalex.org/W2054455698","https://openalex.org/W2056715273","https://openalex.org/W2069659281","https://openalex.org/W2076425962","https://openalex.org/W2090763677","https://openalex.org/W2094376373","https://openalex.org/W2115737236","https://openalex.org/W2136043180","https://openalex.org/W2137983211","https://openalex.org/W2149241780","https://openalex.org/W2158720169","https://openalex.org/W2231009150","https://openalex.org/W2282974062","https://openalex.org/W2520593752","https://openalex.org/W2546606549","https://openalex.org/W2552290192","https://openalex.org/W2782977076","https://openalex.org/W2885311373","https://openalex.org/W2897412090","https://openalex.org/W2899283552","https://openalex.org/W2901691361","https://openalex.org/W2907191966","https://openalex.org/W2942169364","https://openalex.org/W2954206324","https://openalex.org/W2963627347","https://openalex.org/W2971278627","https://openalex.org/W3036843665","https://openalex.org/W3102859559","https://openalex.org/W3105846499","https://openalex.org/W3153220274","https://openalex.org/W3157973839","https://openalex.org/W3180799285","https://openalex.org/W3213204639","https://openalex.org/W3216795669","https://openalex.org/W4200150166","https://openalex.org/W4211116959","https://openalex.org/W4214731463","https://openalex.org/W4221151978","https://openalex.org/W4287756134","https://openalex.org/W4312325284","https://openalex.org/W6753278433","https://openalex.org/W6763480078","https://openalex.org/W6779753539","https://openalex.org/W6780179280","https://openalex.org/W6804485206","https://openalex.org/W6808183544","https://openalex.org/W6810814413"],"related_works":["https://openalex.org/W2793402697","https://openalex.org/W2019193285","https://openalex.org/W2042019967","https://openalex.org/W4391491570","https://openalex.org/W2157133621","https://openalex.org/W4386174346","https://openalex.org/W2093785611","https://openalex.org/W4224073133","https://openalex.org/W2056850745","https://openalex.org/W2049184638"],"abstract_inverted_index":{"Structured":[0],"illumination":[1,15,40],"microscopy":[2],"(SIM)":[3],"reconstructs":[4],"a":[5,30,70,85,117,133],"super-resolved":[6,100],"image":[7],"from":[8],"multiple":[9],"raw":[10,73],"images":[11],"captured":[12],"with":[13,41,59,89,122,136],"different":[14],"patterns;":[16],"hence,":[17],"acquisition":[18],"speed":[19],"is":[20,82],"limited,":[21],"making":[22],"it":[23],"unsuitable":[24],"for":[25,110],"dynamic":[26,57,80,134],"scenes.":[27],"We":[28,105,125],"propose":[29],"new":[31],"method,":[32],"Speckle":[33,61,107,128],"Flow":[34,62,108,129],"SIM,":[35],"that":[36,127],"uses":[37],"static":[38],"patterned":[39],"moving":[42],"samples":[43],"and":[44,94,98,115,139],"models":[45],"the":[46,56,79,95,99,142],"sample":[47,66],"motion":[48,67,96,138],"during":[49],"data":[50],"capture":[51,69],"in":[52,113,145],"order":[53],"to":[54,68],"reconstruct":[55,132],"scene":[58,81,101,135],"super-resolution.":[60],"SIM":[63,109,130],"relies":[64],"on":[65],"sequence":[71],"of":[72,78],"images.":[74],"The":[75],"spatio-temporal":[76],"relationship":[77],"modeled":[83],"using":[84],"neural":[86],"space-time":[87],"model":[88],"coordinate-based":[90],"multi-layer":[91],"perceptrons":[92],"(MLPs),":[93],"dynamics":[97],"are":[102],"jointly":[103],"recovered.":[104],"validate":[106],"coherent":[111],"imaging":[112],"simulation":[114],"build":[116],"simple,":[118],"inexpensive":[119],"experimental":[120],"setup":[121],"off-the-shelf":[123],"components.":[124],"demonstrate":[126],"can":[131],"deformable":[137],"1.88":[140],"x":[141],"diffraction-limited":[143],"resolution":[144],"experiment.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}