{"id":"https://openalex.org/W4393144852","doi":"https://doi.org/10.1109/tcbb.2024.3380410","title":"Deep Spatio-Temporal Network for Low-SNR Cryo-EM Movie Frame Enhancement","display_name":"Deep Spatio-Temporal Network for Low-SNR Cryo-EM Movie Frame Enhancement","publication_year":2024,"publication_date":"2024-03-25","ids":{"openalex":"https://openalex.org/W4393144852","doi":"https://doi.org/10.1109/tcbb.2024.3380410","pmid":"https://pubmed.ncbi.nlm.nih.gov/38526906"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2024.3380410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2024.3380410","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043","2998-4165"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5005218276","display_name":"Xiaoya Chong","orcid":"https://orcid.org/0000-0003-1495-8925"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaoya Chong","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong","Department of Computer Science, City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-1495-8925","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001617092","display_name":"Howard Leung","orcid":"https://orcid.org/0000-0002-2633-2965"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Howard Leung","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong","Department of Computer Science, City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-2633-2965","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404176","display_name":"Qing Li","orcid":"https://orcid.org/0000-0003-3370-471X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qing Li","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong","Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-3370-471X","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100695406","display_name":"Jianhua Yao","orcid":"https://orcid.org/0000-0001-9157-9596"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Yao","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9157-9596","affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068127687","display_name":"Niyun Zhou","orcid":"https://orcid.org/0000-0003-3368-8772"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Niyun Zhou","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-3368-8772","affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4313,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6128961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"21","issue":"5","first_page":"1299","last_page":"1310"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13177","display_name":"Geological and Geophysical Studies","score":0.8428999781608582,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13177","display_name":"Geological and Geophysical Studies","score":0.8428999781608582,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.7714999914169312,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7503652572631836},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7046512365341187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7014844417572021},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6601000428199768},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.567619264125824},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5161141157150269},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4328899085521698},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.4320477247238159},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41166165471076965},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39504462480545044}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7503652572631836},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7046512365341187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7014844417572021},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6601000428199768},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.567619264125824},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5161141157150269},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4328899085521698},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.4320477247238159},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41166165471076965},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39504462480545044},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020285","descriptor_name":"Cryoelectron Microscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D020285","descriptor_name":"Cryoelectron Microscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D020285","descriptor_name":"Cryoelectron Microscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D020285","descriptor_name":"Cryoelectron Microscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbb.2024.3380410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2024.3380410","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043","2998-4165"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:38526906","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38526906","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM transactions on computational biology and bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7326936651","display_name":null,"funder_award_id":"9678139","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"}],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W2051925784","https://openalex.org/W2054520331","https://openalex.org/W2056370875","https://openalex.org/W2072951627","https://openalex.org/W2109476464","https://openalex.org/W2123207418","https://openalex.org/W2149360962","https://openalex.org/W2476548250","https://openalex.org/W2557227117","https://openalex.org/W2560474170","https://openalex.org/W2593511418","https://openalex.org/W2601564443","https://openalex.org/W2609107023","https://openalex.org/W2738579427","https://openalex.org/W2769654144","https://openalex.org/W2845028610","https://openalex.org/W2895361760","https://openalex.org/W2948208276","https://openalex.org/W2963782415","https://openalex.org/W2963821882","https://openalex.org/W2964101377","https://openalex.org/W2965669158","https://openalex.org/W2966926453","https://openalex.org/W2977933365","https://openalex.org/W2978920675","https://openalex.org/W3000775737","https://openalex.org/W3023628373","https://openalex.org/W3034475761","https://openalex.org/W3034850705","https://openalex.org/W3035051775","https://openalex.org/W3035086889","https://openalex.org/W3093295276","https://openalex.org/W3095435396","https://openalex.org/W3097097310","https://openalex.org/W3104438892","https://openalex.org/W3104727101","https://openalex.org/W3109603634","https://openalex.org/W3126841939","https://openalex.org/W3203605797","https://openalex.org/W4206660061","https://openalex.org/W4240181500","https://openalex.org/W4312280925","https://openalex.org/W6749271710"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W2113666009","https://openalex.org/W3037187668","https://openalex.org/W4234772502","https://openalex.org/W2977517636","https://openalex.org/W2810129309"],"abstract_inverted_index":{"Cryo-EM":[0],"in":[1,52,83],"single":[2],"particle":[3,20],"analysis":[4],"is":[5],"known":[6],"to":[7,13,22,87,157],"have":[8],"low":[9,33],"SNR":[10,34],"and":[11,38,117,141,152,174,193],"requires":[12],"utilize":[14],"several":[15],"frames":[16,116],"of":[17,35,80,93],"the":[18,32,45,78,94,159],"same":[19],"sample":[21],"restore":[23],"one":[24,89],"high-quality":[25],"image":[26],"for":[27,71,130],"visualizing":[28],"that":[29,184],"particle.":[30],"However,":[31,67],"cryo-EM":[36,84,101,110,131,171,178],"movie":[37,85,102,111,115,132,172],"motion":[39],"caused":[40],"by":[41,62],"beam":[42],"striking":[43],"make":[44],"task":[46],"very":[47],"challenging.":[48],"Video":[49],"enhancement":[50,134,189],"algorithms":[51],"computer":[53],"vision":[54],"shed":[55],"new":[56],"light":[57],"on":[58,136,168,176],"tackling":[59],"such":[60],"tasks":[61],"utilizing":[63],"deep":[64,126],"neural":[65],"networks.":[66],"they":[68],"are":[69,144,155],"designed":[70,156],"natural":[72],"images":[73],"with":[74,113,196],"high":[75],"SNR.":[76],"Meanwhile,":[77],"lack":[79],"ground":[81,119],"truth":[82,120],"seems":[86],"be":[88],"major":[90],"limiting":[91],"factor":[92],"progress.":[95],"Hence,":[96],"we":[97,123,164],"present":[98],"a":[99,125],"synthetic":[100,138,170],"generation":[103],"pipeline,":[104],"which":[105],"can":[106,186],"produce":[107],"realistic":[108],"diverse":[109],"datasets":[112,173],"low-SNR":[114],"multiple":[118],"values.":[121],"Then":[122],"propose":[124],"spatio-temporal":[127],"network":[128],"(DST-Net)":[129],"frame":[133],"trained":[135],"our":[137,166],"data.":[139,179],"Spatial":[140],"temporal":[142],"features":[143],"first":[145],"extracted":[146],"from":[147],"each":[148],"frame.":[149],"Spatio-temporal":[150],"fusion":[151],"high-resolution":[153],"re-constructor":[154],"obtain":[158],"enhanced":[160],"output.":[161],"For":[162],"evaluation,":[163],"train":[165],"model":[167],"seven":[169],"infer":[175],"real":[177],"The":[180],"experimental":[181],"results":[182],"show":[183],"DST-Net":[185],"achieve":[187],"better":[188],"performance":[190],"both":[191],"quantitatively":[192],"qualitatively":[194],"compared":[195],"others.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
