{"id":"https://openalex.org/W2588445392","doi":"https://doi.org/10.1109/aspdac.2017.7858283","title":"A 15 \u00d7 15 SPAD array sensor with breakdown-pixel-extraction architecture for efficient data readout","display_name":"A 15 \u00d7 15 SPAD array sensor with breakdown-pixel-extraction architecture for efficient data readout","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2588445392","doi":"https://doi.org/10.1109/aspdac.2017.7858283","mag":"2588445392"},"language":"en","primary_location":{"id":"doi:10.1109/aspdac.2017.7858283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aspdac.2017.7858283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC)","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/A5073402743","display_name":"X. Yang","orcid":"https://orcid.org/0000-0002-1452-9824"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xiao Yang","raw_affiliation_strings":["EEIS, The University of Tokyo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EEIS, The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100755735","display_name":"Hongbo Zhu","orcid":"https://orcid.org/0000-0002-1032-4434"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hongbo Zhu","raw_affiliation_strings":["VLSI Design and Education Center, The University of Tokyo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VLSI Design and Education Center, The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071803491","display_name":"Toru Nakura","orcid":"https://orcid.org/0000-0001-5945-3918"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toru Nakura","raw_affiliation_strings":["VLSI Design and Education Center, The University of Tokyo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VLSI Design and Education Center, The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007028121","display_name":"Tetsuya Iizuka","orcid":"https://orcid.org/0000-0002-1512-4714"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Iizuka","raw_affiliation_strings":["VLSI Design and Education Center, The University of Tokyo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VLSI Design and Education Center, The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028680447","display_name":"Kunihiro Asada","orcid":"https://orcid.org/0000-0002-1150-0241"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kunihiro Asada","raw_affiliation_strings":["VLSI Design and Education Center, The University of Tokyo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VLSI Design and Education Center, The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"140","issue":null,"first_page":"23","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"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/T11472","display_name":"Analytical Chemistry and Sensors","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1502","display_name":"Bioengineering"},"field":{"id":"https://openalex.org/fields/15","display_name":"Chemical Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13869","display_name":"Ocular and Laser Science Research","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7511999607086182},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.5083922743797302},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.4956928491592407},{"id":"https://openalex.org/keywords/optoelectronics","display_name":"Optoelectronics","score":0.4161117970943451},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3783301115036011},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.32036682963371277},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2953142523765564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2206089198589325}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7511999607086182},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.5083922743797302},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.4956928491592407},{"id":"https://openalex.org/C49040817","wikidata":"https://www.wikidata.org/wiki/Q193091","display_name":"Optoelectronics","level":1,"score":0.4161117970943451},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3783301115036011},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.32036682963371277},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2953142523765564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2206089198589325}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aspdac.2017.7858283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aspdac.2017.7858283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2020865944","https://openalex.org/W2043474845","https://openalex.org/W2058662614","https://openalex.org/W2290359631","https://openalex.org/W6661133930"],"related_works":["https://openalex.org/W2349576212","https://openalex.org/W1981776476","https://openalex.org/W2352535872","https://openalex.org/W1590693222","https://openalex.org/W2382967348","https://openalex.org/W2944239605","https://openalex.org/W1873415836","https://openalex.org/W2334823507","https://openalex.org/W2107073676","https://openalex.org/W2565551736"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,46,52],"breakdown-pixel-extraction":[4],"architecture":[5],"for":[6],"SPAD":[7,29,41],"sensor.":[8],"The":[9],"proposed":[10],"readout":[11,35,55],"circuit":[12],"detects":[13],"the":[14,24,33],"breakdown":[15],"pixels":[16],"and":[17,51],"their":[18],"addresses":[19],"are":[20],"readout.":[21],"Therefore,":[22],"under":[23],"faint":[25],"light":[26],"environment,":[27],"this":[28],"sensor":[30,42],"significantly":[31],"improves":[32],"data":[34],"efficiency.":[36],"A":[37],"15":[38,40],"\u00d7":[39],"was":[43],"fabricated":[44],"in":[45],"0.18":[47],"um":[48],"CMOS":[49],"process,":[50],"high":[53],"speed":[54],"is":[56],"verified":[57],"by":[58],"measurement.":[59]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
