{"id":"https://openalex.org/W2093563854","doi":"https://doi.org/10.1109/bmei.2011.6098270","title":"Adaptive three-dimensional wavelet analysis for denoising TOF-SIMS images: Toward digital staining of pathological specimens","display_name":"Adaptive three-dimensional wavelet analysis for denoising TOF-SIMS images: Toward digital staining of pathological specimens","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W2093563854","doi":"https://doi.org/10.1109/bmei.2011.6098270","mag":"2093563854"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2011.6098270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2011.6098270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)","raw_type":"proceedings-article"},"type":"article","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/A5043746721","display_name":"Koichi Tanji","orcid":null},"institutions":[{"id":"https://openalex.org/I1320697193","display_name":"Canon (Japan)","ror":"https://ror.org/05gg0gh87","country_code":"JP","type":"company","lineage":["https://openalex.org/I1320697193"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"K. Tanji","raw_affiliation_strings":["Frontier Research Center, Corporate Research and Development Headquarters Canon Inc., Tokyo, Japan","Frontier Research Center, Corporate R&D Headquarters, Canon Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Frontier Research Center, Corporate Research and Development Headquarters Canon Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I1320697193"]},{"raw_affiliation_string":"Frontier Research Center, Corporate R&D Headquarters, Canon Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I1320697193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111549753","display_name":"M. Komatsu","orcid":null},"institutions":[{"id":"https://openalex.org/I1320697193","display_name":"Canon (Japan)","ror":"https://ror.org/05gg0gh87","country_code":"JP","type":"company","lineage":["https://openalex.org/I1320697193"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M. Komatsu","raw_affiliation_strings":["Frontier Research Center, Corporate Research and Development Headquarters Canon Inc., Tokyo, Japan","Frontier Research Center, Corporate R&D Headquarters, Canon Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Frontier Research Center, Corporate Research and Development Headquarters Canon Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I1320697193"]},{"raw_affiliation_string":"Frontier Research Center, Corporate R&D Headquarters, Canon Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I1320697193"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101642245","display_name":"Hiroyuki Hashimoto","orcid":"https://orcid.org/0000-0003-2792-2403"},"institutions":[{"id":"https://openalex.org/I1320697193","display_name":"Canon (Japan)","ror":"https://ror.org/05gg0gh87","country_code":"JP","type":"company","lineage":["https://openalex.org/I1320697193"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Hashimoto","raw_affiliation_strings":["Frontier Research Center, Corporate Research and Development Headquarters Canon Inc., Tokyo, Japan","Frontier Research Center, Corporate R&D Headquarters, Canon Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Frontier Research Center, Corporate Research and Development Headquarters Canon Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I1320697193"]},{"raw_affiliation_string":"Frontier Research Center, Corporate R&D Headquarters, Canon Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I1320697193"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043746721"],"corresponding_institution_ids":["https://openalex.org/I1320697193"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.07823961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"100","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.995199978351593,"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/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.995199978351593,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9750000238418579,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/wavelet","display_name":"Wavelet","score":0.6970118880271912},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5935715436935425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5779134631156921},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4726150333881378},{"id":"https://openalex.org/keywords/pathological","display_name":"Pathological","score":0.4639449119567871},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4506615698337555},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.44824206829071045},{"id":"https://openalex.org/keywords/staining","display_name":"Staining","score":0.43862855434417725},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4233609437942505},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3957579731941223},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.20619401335716248},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10824787616729736}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6970118880271912},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5935715436935425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5779134631156921},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4726150333881378},{"id":"https://openalex.org/C207886595","wikidata":"https://www.wikidata.org/wiki/Q1456138","display_name":"Pathological","level":2,"score":0.4639449119567871},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4506615698337555},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.44824206829071045},{"id":"https://openalex.org/C74864618","wikidata":"https://www.wikidata.org/wiki/Q2332446","display_name":"Staining","level":2,"score":0.43862855434417725},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4233609437942505},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3957579731941223},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.20619401335716248},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10824787616729736}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmei.2011.6098270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2011.6098270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1529392196","https://openalex.org/W1965994158","https://openalex.org/W1978958941","https://openalex.org/W1997469292","https://openalex.org/W2003595011","https://openalex.org/W2057888153","https://openalex.org/W2091161903","https://openalex.org/W2091639583","https://openalex.org/W2160216174","https://openalex.org/W2201616968"],"related_works":["https://openalex.org/W2077021924","https://openalex.org/W2895947835","https://openalex.org/W2087258800","https://openalex.org/W2810018092","https://openalex.org/W2387428419","https://openalex.org/W2098237619","https://openalex.org/W1974034585","https://openalex.org/W2386722878","https://openalex.org/W2353444452","https://openalex.org/W2001438600"],"abstract_inverted_index":{"In":[0,23,71],"this":[1,72,125],"report,":[2],"we":[3],"propose":[4],"a":[5,120],"three-dimensional":[6,32,87,160],"adaptive":[7],"wavelet":[8,88],"analysis":[9],"algorithm":[10,126],"for":[11,53,99,115],"rapidly":[12],"denoising":[13,128],"data":[14,28,101,117],"acquired":[15],"by":[16,158],"time-of-flight":[17],"secondary":[18],"ion":[19],"mass":[20,49,121],"spectrometry":[21],"(TOF-SIMS).":[22],"the":[24,26,35,39,43,47,58,61,81,84,104,109,139,147,152,159],"computation,":[25],"TOF-SIMS":[27],"are":[29,78],"stored":[30],"in":[31],"space,":[33],"where":[34],"xy-plane":[36,82],"corresponds":[37,45],"to":[38,46,80,127],"measured":[40],"area":[41],"and":[42,69,83,86,90,108,131,150],"z-axis":[44,59],"m/z":[48,55],"spectrum.":[50],"Reconstructed":[51],"images":[52],"specific":[54],"peaks":[56],"along":[57],"indicate":[60],"spatial":[62],"distributions":[63],"of":[64,106,129,146],"components":[65],"such":[66,102,118],"as":[67,103,119],"protein":[68],"lipid.":[70],"algorithm,":[73],"two":[74],"different":[75],"basis":[76,95,111],"functions":[77],"applied":[79],"z-axis,":[85],"shrinkage":[89],"reconstruction":[91],"is":[92,97,113,141,155],"performed.":[93],"One":[94],"function":[96,112],"suitable":[98,114],"continuous":[100],"distribution":[105],"components,":[107],"other":[110],"discrete":[116],"spectra.":[122],"We":[123],"apply":[124],"simulated":[130],"experimental":[132],"image":[133],"data.":[134],"The":[135],"results":[136],"show":[137],"that":[138,151],"noise":[140,161],"markedly":[142],"reduced":[143],"without":[144],"loss":[145],"original":[148],"signals":[149],"signal-to-noise":[153],"ratio":[154],"substantially":[156],"improved":[157],"reduction":[162],"algorithm.":[163]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
