{"id":"https://openalex.org/W2888396843","doi":"https://doi.org/10.1109/access.2018.2865541","title":"SO-YOLO Based WBC Detection With Fourier Ptychographic Microscopy","display_name":"SO-YOLO Based WBC Detection With Fourier Ptychographic Microscopy","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2888396843","doi":"https://doi.org/10.1109/access.2018.2865541","mag":"2888396843"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2865541","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2865541","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2865541","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115666601","display_name":"Xing Wang","orcid":"https://orcid.org/0000-0001-8640-4388"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xing Wang","raw_affiliation_strings":["Image Engineering and Video Technology Laboratory, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China","ORCiD"],"affiliations":[{"raw_affiliation_string":"Image Engineering and Video Technology Laboratory, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019242095","display_name":"Tingfa Xu","orcid":"https://orcid.org/0000-0001-5452-2662"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingfa Xu","raw_affiliation_strings":["Image Engineering and Video Technology Laboratory, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Image Engineering and Video Technology Laboratory, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043432751","display_name":"Jizhou Zhang","orcid":"https://orcid.org/0000-0002-1015-0534"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jizhou Zhang","raw_affiliation_strings":["Image Engineering and Video Technology Laboratory, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China","ORCiD"],"affiliations":[{"raw_affiliation_string":"Image Engineering and Video Technology Laboratory, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101605951","display_name":"Sining Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sining Chen","raw_affiliation_strings":["Image Engineering and Video Technology Laboratory, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China","ORCiD"],"affiliations":[{"raw_affiliation_string":"Image Engineering and Video Technology Laboratory, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102818042","display_name":"Yi-zhou Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhou Zhang","raw_affiliation_strings":["Image Engineering and Video Technology Laboratory, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Image Engineering and Video Technology Laboratory, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5115666601"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.8967,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.91666802,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"51566","last_page":"51576"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11897","display_name":"Digital Holography and Microscopy","score":0.9993000030517578,"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":0.9993000030517578,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9857000112533569,"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/computer-science","display_name":"Computer science","score":0.711861252784729},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6970372200012207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6331010460853577},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.6209484934806824},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5506040453910828},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5276259779930115},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5035688281059265},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.4542676508426666},{"id":"https://openalex.org/keywords/microscopy","display_name":"Microscopy","score":0.4359835982322693},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43228384852409363},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38170650601387024},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.23312324285507202},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.1801331639289856},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14211943745613098}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.711861252784729},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6970372200012207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6331010460853577},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.6209484934806824},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5506040453910828},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5276259779930115},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5035688281059265},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.4542676508426666},{"id":"https://openalex.org/C147080431","wikidata":"https://www.wikidata.org/wiki/Q1074953","display_name":"Microscopy","level":2,"score":0.4359835982322693},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43228384852409363},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38170650601387024},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.23312324285507202},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.1801331639289856},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14211943745613098},{"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2865541","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2865541","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:17014fab57754ae0849ad250f6d2f89c","is_oa":true,"landing_page_url":"https://doaj.org/article/17014fab57754ae0849ad250f6d2f89c","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 51566-51576 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2865541","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2865541","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3496216929","display_name":null,"funder_award_id":"61471043","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6109479118","display_name":null,"funder_award_id":"61371132","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1832673902","https://openalex.org/W1868246504","https://openalex.org/W1982068528","https://openalex.org/W1985837487","https://openalex.org/W1985935108","https://openalex.org/W1986579450","https://openalex.org/W2007593159","https://openalex.org/W2018254338","https://openalex.org/W2023474364","https://openalex.org/W2026160247","https://openalex.org/W2029250634","https://openalex.org/W2035552932","https://openalex.org/W2047602908","https://openalex.org/W2048248055","https://openalex.org/W2059264719","https://openalex.org/W2068194900","https://openalex.org/W2073809998","https://openalex.org/W2080860745","https://openalex.org/W2093075920","https://openalex.org/W2102605133","https://openalex.org/W2105675367","https://openalex.org/W2108278264","https://openalex.org/W2119107075","https://openalex.org/W2150701585","https://openalex.org/W2161510981","https://openalex.org/W2165161875","https://openalex.org/W2342956157","https://openalex.org/W2544835422","https://openalex.org/W2613718673","https://openalex.org/W2768012587","https://openalex.org/W2793947836","https://openalex.org/W2963037989","https://openalex.org/W3099807102","https://openalex.org/W6620707391","https://openalex.org/W6628973269","https://openalex.org/W6673490701"],"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/W2145649715","https://openalex.org/W2047313939","https://openalex.org/W2113666009","https://openalex.org/W3195209712","https://openalex.org/W4223555864"],"abstract_inverted_index":{"White":[0],"blood":[1,78],"cells":[2],"(WBC)":[3],"play":[4],"a":[5,16,24,44,96,166],"significant":[6],"role":[7],"in":[8,108,115,121,138,190],"human":[9,167],"immune":[10],"system,":[11],"so":[12],"WBC":[13,159],"detection":[14,93,105,132,170],"is":[15,43,128,133,141],"meaningful":[17],"work.":[18],"In":[19],"this":[20,116,139],"paper,":[21],"we":[22,71,88],"propose":[23,89],"novel":[25],"framework":[26,114],"which":[27,49],"combines":[28],"Fourier":[29],"ptychographic":[30],"microscopy":[31],"(FPM)":[32],"and":[33,54,65,110,130,156,163],"SO-you":[34],"only":[35],"look":[36],"once":[37],"(YOLO)":[38],"for":[39],"WCB":[40],"detection.":[41],"FPM":[42,144],"recently":[45],"developed":[46],"microscope":[47],"technology":[48],"can":[50,72,118],"achieve":[51],"high-resolution,":[52],"wide-field,":[53],"quantitative":[55],"phase":[56,66],"imaging":[57],"at":[58,81],"the":[59,69,100,103,125,131,158,173,178,186],"same":[60],"time":[61],"without":[62],"mechanical":[63],"moving":[64],"measurement.":[67],"With":[68],"FPM,":[70],"get":[73],"high":[74,153],"resolution,":[75],"wide":[76],"field-of-view":[77],"cell":[79],"images":[80,155],"one":[82],"time.":[83],"After":[84],"obtaining":[85],"high-resolution":[86],"images,":[87],"SO-YOLO":[90,101,187],"as":[91,177],"our":[92],"method.":[94],"As":[95],"convolutional":[97],"neural":[98],"network,":[99],"outperforms":[102],"state-of-the-art":[104],"methods":[106],"both":[107],"accuracy":[109],"speed.":[111],"The":[112,135,169,181],"proposed":[113],"paper":[117,140],"be":[119],"used":[120],"clinical":[122],"diagnose,":[123],"because":[124],"experiment":[126,182],"setup":[127],"flexible":[129],"fast.":[134],"data":[136,148],"set":[137,149],"made":[142],"with":[143,195],"by":[145,165,172],"ourselves.":[146],"Our":[147],"contains":[150],"1000":[151],"color":[152],"resolution":[154],"all":[157],"has":[160],"been":[161],"detected":[162],"counted":[164],"expert.":[168],"results":[171,183],"experts":[174],"are":[175],"regarded":[176],"ground":[179],"truth.":[180],"show":[184],"that":[185],"performs":[188],"well":[189],"detecting":[191],"small":[192],"objects":[193],"compared":[194],"other":[196],"methods.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":5}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-10-10T00:00:00"}
