{"id":"https://openalex.org/W4229371901","doi":"https://doi.org/10.3390/s22093530","title":"Analysis of Deep Learning-Based Phase Retrieval Algorithm Performance for Quantitative Phase Imaging Microscopy","display_name":"Analysis of Deep Learning-Based Phase Retrieval Algorithm Performance for Quantitative Phase Imaging Microscopy","publication_year":2022,"publication_date":"2022-05-06","ids":{"openalex":"https://openalex.org/W4229371901","doi":"https://doi.org/10.3390/s22093530","pmid":"https://pubmed.ncbi.nlm.nih.gov/35591220"},"language":"en","primary_location":{"id":"doi:10.3390/s22093530","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22093530","pdf_url":"https://www.mdpi.com/1424-8220/22/9/3530/pdf?version=1651825707","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/9/3530/pdf?version=1651825707","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026806152","display_name":"Sarinporn Visitsattapongse","orcid":"https://orcid.org/0009-0004-5890-6427"},"institutions":[{"id":"https://openalex.org/I91538806","display_name":"King Mongkut's Institute of Technology Ladkrabang","ror":"https://ror.org/055mf0v62","country_code":"TH","type":"education","lineage":["https://openalex.org/I91538806"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Sarinporn Visitsattapongse","raw_affiliation_strings":["Department of Biomedical Engineering, School of Engineering, King Mongkut\u2019s Institute of Technology Ladkrabang, Bangkok 10520, Thailand","Department of Biomedical Engineering, School of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, School of Engineering, King Mongkut\u2019s Institute of Technology Ladkrabang, Bangkok 10520, Thailand","institution_ids":["https://openalex.org/I91538806"]},{"raw_affiliation_string":"Department of Biomedical Engineering, School of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand","institution_ids":["https://openalex.org/I91538806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090391013","display_name":"Kitsada Thadson","orcid":null},"institutions":[{"id":"https://openalex.org/I91538806","display_name":"King Mongkut's Institute of Technology Ladkrabang","ror":"https://ror.org/055mf0v62","country_code":"TH","type":"education","lineage":["https://openalex.org/I91538806"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kitsada Thadson","raw_affiliation_strings":["Department of Biomedical Engineering, School of Engineering, King Mongkut\u2019s Institute of Technology Ladkrabang, Bangkok 10520, Thailand","Department of Biomedical Engineering, School of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, School of Engineering, King Mongkut\u2019s Institute of Technology Ladkrabang, Bangkok 10520, Thailand","institution_ids":["https://openalex.org/I91538806"]},{"raw_affiliation_string":"Department of Biomedical Engineering, School of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand","institution_ids":["https://openalex.org/I91538806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086241017","display_name":"Suejit Pechprasarn","orcid":"https://orcid.org/0000-0001-9105-8627"},"institutions":[{"id":"https://openalex.org/I89226531","display_name":"Rangsit University","ror":"https://ror.org/01cqcrc47","country_code":"TH","type":"education","lineage":["https://openalex.org/I89226531"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Suejit Pechprasarn","raw_affiliation_strings":["College of Biomedical Engineering, Rangsit University, Pathum Thani 12000, Thailand"],"raw_orcid":"https://orcid.org/0000-0001-9105-8627","affiliations":[{"raw_affiliation_string":"College of Biomedical Engineering, Rangsit University, Pathum Thani 12000, Thailand","institution_ids":["https://openalex.org/I89226531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038105954","display_name":"Nuntachai Thongpance","orcid":null},"institutions":[{"id":"https://openalex.org/I89226531","display_name":"Rangsit University","ror":"https://ror.org/01cqcrc47","country_code":"TH","type":"education","lineage":["https://openalex.org/I89226531"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Nuntachai Thongpance","raw_affiliation_strings":["College of Biomedical Engineering, Rangsit University, Pathum Thani 12000, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Biomedical Engineering, Rangsit University, Pathum Thani 12000, Thailand","institution_ids":["https://openalex.org/I89226531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5038105954"],"corresponding_institution_ids":["https://openalex.org/I89226531"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.4587,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61053296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"22","issue":"9","first_page":"3530","last_page":"3530"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11897","display_name":"Digital Holography and Microscopy","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11897","display_name":"Digital Holography and Microscopy","score":0.9994999766349792,"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/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/phase-retrieval","display_name":"Phase retrieval","score":0.7007484436035156},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6545323133468628},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.643560528755188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6236571669578552},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.574855387210846},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.574168860912323},{"id":"https://openalex.org/keywords/image-plane","display_name":"Image plane","score":0.5246165990829468},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.4634874165058136},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.463352233171463},{"id":"https://openalex.org/keywords/cardinal-point","display_name":"Cardinal point","score":0.4585115909576416},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.42770764231681824},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.3999670445919037},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3995242714881897},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36663004755973816},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3277853727340698},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2915559411048889},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17303845286369324},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.1039435863494873},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.10320794582366943}],"concepts":[{"id":"https://openalex.org/C81793267","wikidata":"https://www.wikidata.org/wiki/Q7180962","display_name":"Phase retrieval","level":3,"score":0.7007484436035156},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6545323133468628},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.643560528755188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6236571669578552},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.574855387210846},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.574168860912323},{"id":"https://openalex.org/C120515352","wikidata":"https://www.wikidata.org/wiki/Q2564580","display_name":"Image plane","level":3,"score":0.5246165990829468},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.4634874165058136},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.463352233171463},{"id":"https://openalex.org/C138395690","wikidata":"https://www.wikidata.org/wiki/Q376733","display_name":"Cardinal point","level":2,"score":0.4585115909576416},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.42770764231681824},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.3999670445919037},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3995242714881897},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36663004755973816},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3277853727340698},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2915559411048889},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17303845286369324},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.1039435863494873},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.10320794582366943},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22093530","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22093530","pdf_url":"https://www.mdpi.com/1424-8220/22/9/3530/pdf?version=1651825707","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:35591220","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35591220","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:42551351adec4fdab204da581bbac200","is_oa":true,"landing_page_url":"https://doaj.org/article/42551351adec4fdab204da581bbac200","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 9, p 3530 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/9/3530/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22093530","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 9; Pages: 3530","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9104860","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9104860","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22093530","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22093530","pdf_url":"https://www.mdpi.com/1424-8220/22/9/3530/pdf?version=1651825707","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4229371901.pdf","grobid_xml":"https://content.openalex.org/works/W4229371901.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1484412996","https://openalex.org/W1536112911","https://openalex.org/W1972428457","https://openalex.org/W1976028451","https://openalex.org/W1976788088","https://openalex.org/W1991825254","https://openalex.org/W1998906499","https://openalex.org/W2006984862","https://openalex.org/W2017627161","https://openalex.org/W2019806917","https://openalex.org/W2025637590","https://openalex.org/W2068312593","https://openalex.org/W2073239315","https://openalex.org/W2083926174","https://openalex.org/W2099474155","https://openalex.org/W2297216069","https://openalex.org/W2346654400","https://openalex.org/W2568348169","https://openalex.org/W2578975883","https://openalex.org/W2626509531","https://openalex.org/W2750717553","https://openalex.org/W2801456691","https://openalex.org/W2884363302","https://openalex.org/W2888077533","https://openalex.org/W2892479404","https://openalex.org/W2920915268","https://openalex.org/W2963152299","https://openalex.org/W2963354336","https://openalex.org/W2964118901","https://openalex.org/W2966884791","https://openalex.org/W2974343313","https://openalex.org/W2974658264","https://openalex.org/W2998401461","https://openalex.org/W3002102141","https://openalex.org/W3003296300","https://openalex.org/W3011504349","https://openalex.org/W3013682536","https://openalex.org/W3014498350","https://openalex.org/W3036495705","https://openalex.org/W3099346813","https://openalex.org/W3100217509","https://openalex.org/W3101982572","https://openalex.org/W3135487280","https://openalex.org/W3157169982","https://openalex.org/W3171947006","https://openalex.org/W3188175025","https://openalex.org/W4200034871","https://openalex.org/W4200426260","https://openalex.org/W4210873181","https://openalex.org/W4213218813","https://openalex.org/W4226360548","https://openalex.org/W4234009313","https://openalex.org/W4281289484","https://openalex.org/W6628955290"],"related_works":["https://openalex.org/W2978432024","https://openalex.org/W2118338613","https://openalex.org/W1995805316","https://openalex.org/W3180760233","https://openalex.org/W2071387875","https://openalex.org/W1568381040","https://openalex.org/W2132019419","https://openalex.org/W4205915047","https://openalex.org/W2148203918","https://openalex.org/W2276828234"],"abstract_inverted_index":{"Quantitative":[0],"phase":[1,38,41,70,75,81,86,131,151,200,222,229],"imaging":[2,76,155],"has":[3,14,30,95,145],"been":[4,15,31,146,158],"of":[5,27,66,90],"interest":[6],"to":[7,60,83,127,148,219,247],"the":[8,24,64,111,117,129,150,164,178,184,203,207,221,242,245,248],"science":[9],"and":[10,13,21,52,62,99,107,136,163,181,214,238,244],"engineering":[11],"community":[12],"applied":[16],"in":[17,33,49,88,199],"multiple":[18],"research":[19],"fields":[20],"applications.":[22],"Recently,":[23],"data-driven":[25],"approach":[26],"artificial":[28,45],"intelligence":[29,46],"utilized":[32],"several":[34],"optical":[35],"applications,":[36],"including":[37,102,169],"retrieval.":[39],"However,":[40],"images":[42,82,182,230],"recovered":[43,80,231],"from":[44],"are":[47,114,120,134],"questionable":[48],"their":[50,84,91],"correctness":[51],"reliability.":[53],"Here,":[54,225],"we":[55,226],"propose":[56],"a":[57,67,141,170],"theoretical":[58,85,130],"framework":[59],"analyze":[61],"quantify":[63,128],"performance":[65],"deep":[68,233,249],"learning-based":[69],"retrieval":[71,201],"algorithm":[72],"for":[73,166,202],"quantitative":[74],"microscopy":[77],"by":[78],"comparing":[79],"profile":[87,223],"terms":[89],"correctness.":[92],"This":[93],"study":[94],"employed":[96,147],"both":[97,211],"lossless":[98],"lossy":[100],"samples,":[101,205],"uniform":[103,123],"plasmonic":[104,112,204],"gold":[105],"sensors":[106],"dielectric":[108,118,208],"layer":[109,209],"samples;":[110],"samples":[113,124],"lossy,":[115],"whereas":[116,206],"layers":[119],"lossless.":[121],"The":[122,190],"enable":[125],"us":[126],"since":[132],"they":[133],"established":[135],"well":[137],"understood.":[138],"In":[139],"addition,":[140],"context":[142],"aggregation":[143],"network":[144,167],"demonstrate":[149,227],"image":[152,176,179,194,212],"regression.":[153],"Several":[154],"planes":[156],"have":[157],"simulated":[159],"serving":[160],"as":[161],"input":[162,246],"label":[165],"training,":[168],"back":[171,191,215],"focal":[172,192,216],"plane":[173,193,213,217],"image,":[174],"an":[175,196],"at":[177],"plane,":[180],"when":[183],"microscope":[185],"sample":[186,243],"is":[187],"axially":[188],"defocused.":[189],"plays":[195],"essential":[197],"role":[198],"requires":[210],"information":[218],"retrieve":[220],"correctly.":[224],"that":[228],"using":[232],"learning":[234],"can":[235],"be":[236],"robust":[237],"reliable":[239],"depending":[240],"on":[241],"learning.":[250]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
