{"id":"https://openalex.org/W2790267366","doi":"https://doi.org/10.1109/icip.2018.8451736","title":"Semi-Blind Spatially-Variant Deconvolution in Optical Microscopy with Local Point Spread Function Estimation by Use of Convolutional Neural Networks","display_name":"Semi-Blind Spatially-Variant Deconvolution in Optical Microscopy with Local Point Spread Function Estimation by Use of Convolutional Neural Networks","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2790267366","doi":"https://doi.org/10.1109/icip.2018.8451736","mag":"2790267366"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1803.07452","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070616943","display_name":"Adrian Shajkofci","orcid":"https://orcid.org/0000-0001-8139-7174"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Adrian Shajkofci","raw_affiliation_strings":["\u00c9cole Poly technique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u00c9cole Poly technique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100429795","display_name":"Michael Liebling","orcid":"https://orcid.org/0000-0001-7608-2733"},"institutions":[{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Michael Liebling","raw_affiliation_strings":["Idiap Research Institute, Martigny, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Idiap Research Institute, Martigny, Switzerland","institution_ids":["https://openalex.org/I7495430"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3818","last_page":"3822"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10540","display_name":"Advanced Fluorescence Microscopy Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9983000159263611,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.9554376602172852},{"id":"https://openalex.org/keywords/point-spread-function","display_name":"Point spread function","score":0.8539041876792908},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.7987809181213379},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6934328079223633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6117202043533325},{"id":"https://openalex.org/keywords/wiener-deconvolution","display_name":"Wiener deconvolution","score":0.594507098197937},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5715947151184082},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5317137837409973},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5174882411956787},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5068300366401672},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45963531732559204},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.43191105127334595},{"id":"https://openalex.org/keywords/optical-transfer-function","display_name":"Optical transfer function","score":0.41187623143196106},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41050031781196594},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39615464210510254},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38707903027534485},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.34356582164764404},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.314004123210907},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2791045308113098},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.228703111410141},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10254776477813721}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.9554376602172852},{"id":"https://openalex.org/C69179731","wikidata":"https://www.wikidata.org/wiki/Q510427","display_name":"Point spread function","level":2,"score":0.8539041876792908},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.7987809181213379},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6934328079223633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6117202043533325},{"id":"https://openalex.org/C15652857","wikidata":"https://www.wikidata.org/wiki/Q599016","display_name":"Wiener deconvolution","level":4,"score":0.594507098197937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5715947151184082},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5317137837409973},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5174882411956787},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5068300366401672},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45963531732559204},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.43191105127334595},{"id":"https://openalex.org/C175231954","wikidata":"https://www.wikidata.org/wiki/Q1942321","display_name":"Optical transfer function","level":2,"score":0.41187623143196106},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41050031781196594},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39615464210510254},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38707903027534485},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.34356582164764404},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.314004123210907},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2791045308113098},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.228703111410141},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10254776477813721}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icip.2018.8451736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1803.07452","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.07452","pdf_url":"https://arxiv.org/pdf/1803.07452","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:infoscience.epfl.ch:256317","is_oa":true,"landing_page_url":"http://publications.idiap.ch/index.php/publications/showcite/Shajkofci_Idiap-RR-07-2018","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference proceedings"},{"id":"pmh:oai:infoscience.epfl.ch:256338","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/256338","pdf_url":null,"source":{"id":"https://openalex.org/S4306400488","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://infoscience.epfl.ch/record/256338","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1803.07452","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.07452","pdf_url":"https://arxiv.org/pdf/1803.07452","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1585369092","https://openalex.org/W1916935112","https://openalex.org/W1991880091","https://openalex.org/W2002358805","https://openalex.org/W2020111712","https://openalex.org/W2026214447","https://openalex.org/W2031124002","https://openalex.org/W2031740917","https://openalex.org/W2059639161","https://openalex.org/W2080875179","https://openalex.org/W2081210827","https://openalex.org/W2088691392","https://openalex.org/W2102605133","https://openalex.org/W2112796928","https://openalex.org/W2118848322","https://openalex.org/W2128254445","https://openalex.org/W2133665775","https://openalex.org/W2141955292","https://openalex.org/W2155893237","https://openalex.org/W2161804069","https://openalex.org/W2163605009","https://openalex.org/W2167208621","https://openalex.org/W2170608748","https://openalex.org/W2187446163","https://openalex.org/W2194775991","https://openalex.org/W2557283755","https://openalex.org/W2560533888","https://openalex.org/W2568027424","https://openalex.org/W2919115771","https://openalex.org/W2950094539","https://openalex.org/W2963136136","https://openalex.org/W6635066143","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2808332603","https://openalex.org/W1522749619","https://openalex.org/W2048473794","https://openalex.org/W2974904990","https://openalex.org/W2004188080","https://openalex.org/W2888591766","https://openalex.org/W2051682859","https://openalex.org/W2540180983","https://openalex.org/W2784224353","https://openalex.org/W1984687499"],"abstract_inverted_index":{"We":[0,63],"present":[1],"a":[2,13,26,40,46],"semi-blind,":[3],"spatially-variant":[4],"deconvolution":[5,24,85],"technique":[6],"aimed":[7],"at":[8],"optical":[9,55],"microscopy":[10],"that":[11],"combines":[12],"local":[14,36],"estimation":[15],"step":[16],"of":[17,53,74,77],"the":[18,35],"point":[19],"spread":[20],"function":[21],"(PSF)":[22],"and":[23,67,70],"using":[25],"spatially":[27],"variant,":[28],"regularized":[29],"Richardson-Lucy":[30],"algorithm":[31],"[1].":[32],"To":[33],"find":[34],"PSF":[37],"map":[38],"in":[39],"computationally":[41],"tractable":[42],"way,":[43],"we":[44],"train":[45],"convolutional":[47],"neural":[48],"network":[49],"to":[50,83],"perform":[51],"regression":[52],"an":[54,72],"parametric":[56],"model":[57],"on":[58,80],"synthetically":[59],"blurred":[60],"image":[61,75],"patches.":[62],"deconvolved":[64],"both":[65],"synthetic":[66],"experimentally-acquired":[68],"data,":[69],"achieved":[71],"improvement":[73],"SNR":[76],"1.00":[78],"dB":[79],"average,":[81],"compared":[82],"other":[84],"algorithms.":[86]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}