{"id":"https://openalex.org/W2786974937","doi":"https://doi.org/10.1109/ascc.2017.8287328","title":"A fast CLSM undersampling image reconstruction framework with precise stage positioning for random measurements","display_name":"A fast CLSM undersampling image reconstruction framework with precise stage positioning for random measurements","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2786974937","doi":"https://doi.org/10.1109/ascc.2017.8287328","mag":"2786974937"},"language":"en","primary_location":{"id":"doi:10.1109/ascc.2017.8287328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ascc.2017.8287328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 11th Asian Control Conference (ASCC)","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/A5102887037","display_name":"Kuang\u2010Yao Chang","orcid":"https://orcid.org/0000-0003-2474-877X"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuang-Yao Chang","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051154334","display_name":"Yilin Liu","orcid":"https://orcid.org/0000-0003-4322-1818"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Lin Liu","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100638482","display_name":"Dawei Liu","orcid":"https://orcid.org/0000-0001-5553-2379"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Da-Wei Liu","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089124354","display_name":"Meng-Hao Chou","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Meng-Hao Chou","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064385770","display_name":"Jim\u2010Wei Wu","orcid":"https://orcid.org/0000-0001-8332-768X"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jim-Wei Wu","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101925654","display_name":"Li\u2010Chen Fu","orcid":"https://orcid.org/0000-0002-6947-7646"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Li-Chen Fu","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"9713","issue":null,"first_page":"1122","last_page":"1127"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10540","display_name":"Advanced Fluorescence Microscopy Techniques","score":0.9997000098228455,"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/undersampling","display_name":"Undersampling","score":0.9133853316307068},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7855814695358276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7040401697158813},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6244610548019409},{"id":"https://openalex.org/keywords/reconstruction-algorithm","display_name":"Reconstruction algorithm","score":0.5409958362579346},{"id":"https://openalex.org/keywords/scanner","display_name":"Scanner","score":0.539501428604126},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5174939632415771},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5137704610824585},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.49773433804512024},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.46828100085258484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4575785994529724},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3480902910232544}],"concepts":[{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.9133853316307068},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7855814695358276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7040401697158813},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6244610548019409},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.5409958362579346},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.539501428604126},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5174939632415771},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5137704610824585},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.49773433804512024},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.46828100085258484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4575785994529724},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3480902910232544}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ascc.2017.8287328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ascc.2017.8287328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 11th Asian Control Conference (ASCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5899999737739563,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2015418199","https://openalex.org/W2068145961","https://openalex.org/W2096260418","https://openalex.org/W2104266187","https://openalex.org/W2130120519","https://openalex.org/W2194775991","https://openalex.org/W2219727625","https://openalex.org/W2242218935","https://openalex.org/W2273561594","https://openalex.org/W2297443376","https://openalex.org/W2963676935","https://openalex.org/W2964121744","https://openalex.org/W3102722370"],"related_works":["https://openalex.org/W3011226087","https://openalex.org/W2212041357","https://openalex.org/W2895530314","https://openalex.org/W3214931932","https://openalex.org/W1959447026","https://openalex.org/W2052082011","https://openalex.org/W2903019797","https://openalex.org/W2218273114","https://openalex.org/W2061033783","https://openalex.org/W1994141795"],"abstract_inverted_index":{"Confocal":[0],"laser":[1],"scanning":[2],"microscopy":[3],"(CLSM)":[4],"is":[5,16,50,58,128,143,170],"a":[6,66,113,152],"powerful":[7],"non-destructive":[8],"optical":[9],"measurement":[10],"system.":[11],"Recently,":[12],"compressive":[13,73],"sensing":[14,74],"(CS)":[15],"applied":[17],"to":[18,35,121,155],"the":[19,29,42,83,87,136,147,157,163],"field":[20],"of":[21,31,54,82,89,116,141,165],"CLSM":[22,48,161],"for":[23,151],"high":[24],"speed":[25],"scan":[26],"by":[27,172],"reducing":[28],"number":[30],"sampled":[32],"data":[33],"required":[34],"reconstruct":[36],"an":[37],"accurate":[38],"imaging":[39],"information.":[40],"However,":[41],"CS":[43,127,158],"recovery":[44],"algorithm":[45,111,150],"employed":[46],"in":[47,78,160],"applications":[49],"iteration-based":[51],"optimization":[52],"method":[53,106],"which":[55],"computation":[56,84],"complexity":[57],"relatively":[59],"high.":[60],"In":[61,125],"this":[62,96],"paper,":[63],"we":[64],"propose":[65],"non-iteration-based":[67],"deep":[68],"residual":[69],"convolutional":[70],"neural":[71],"network":[72],"reconstruction":[75,110,122],"framework":[76],"(DRCNN-CSR)":[77],"end-to-end":[79],"manner.":[80],"Both":[81],"time":[85],"and":[86,138],"quality":[88,123],"reconstructed":[90],"image":[91],"are":[92],"largely":[93],"improved":[94],"with":[95,119],"novel":[97],"model.":[98],"The":[99],"experiment":[100],"results":[101],"demonstrate":[102],"that":[103],"our":[104,166],"proposed":[105],"outperforms":[107],"other":[108],"existing":[109],"under":[112],"wide":[114],"range":[115],"undersampling":[117],"rates":[118],"respect":[120],"comparison.":[124],"addition,":[126],"based":[129],"on":[130],"predefined":[131],"random":[132],"location":[133],"sampling;":[134],"consequently,":[135],"fast":[137],"precise":[139],"positioning":[140],"scanner":[142],"required.":[144],"We":[145],"design":[146,169],"adaptive":[148],"control":[149,167],"piezo-driven":[153],"stage":[154],"implement":[156],"approach":[159],"imaging;":[162],"stability":[164],"system":[168],"proved":[171],"Lyapunov":[173],"theorem.":[174]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}