{"id":"https://openalex.org/W1593728888","doi":"https://doi.org/10.5772/4961","title":"Robust Microarray Image Processing","display_name":"Robust Microarray Image Processing","publication_year":2007,"publication_date":"2007-06-01","ids":{"openalex":"https://openalex.org/W1593728888","doi":"https://doi.org/10.5772/4961","mag":"1593728888"},"language":"en","primary_location":{"id":"doi:10.5772/4961","doi":"https://doi.org/10.5772/4961","is_oa":true,"landing_page_url":"https://doi.org/10.5772/4961","pdf_url":null,"source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Vision Systems: Segmentation and Pattern Recognition","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W2479489441","display_name":"Vision Systems: Segmentation and Pattern Recognition"},"type":"book-chapter","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5772/4961","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109219376","display_name":"Eugene G. Novikov","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I102913810","display_name":"Universiti Malaysia Pahang Al-Sultan Abdullah","ror":"https://ror.org/01704wp68","country_code":"MY","type":"education","lineage":["https://openalex.org/I102913810"]},{"id":"https://openalex.org/I80043","display_name":"Institut Curie","ror":"https://ror.org/04t0gwh46","country_code":"FR","type":"nonprofit","lineage":["https://openalex.org/I80043"]}],"countries":["FR","MY"],"is_corresponding":false,"raw_author_name":"Eugene Novikov","raw_affiliation_strings":["University Malaysia Pahang Malaysia","Service Bioinformatique, Institut Curie 26 Rue d'Ulm, 75248 Paris Cedex 05, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Malaysia Pahang Malaysia","institution_ids":["https://openalex.org/I102913810"]},{"raw_affiliation_string":"Service Bioinformatique, Institut Curie 26 Rue d'Ulm, 75248 Paris Cedex 05, France","institution_ids":["https://openalex.org/I80043"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062067186","display_name":"Emmanuel Barillot","orcid":"https://orcid.org/0000-0003-2724-2002","observed_orcids":["https://orcid.org/0000-0003-2724-2002"]},"institutions":[{"id":"https://openalex.org/I102913810","display_name":"Universiti Malaysia Pahang Al-Sultan Abdullah","ror":"https://ror.org/01704wp68","country_code":"MY","type":"education","lineage":["https://openalex.org/I102913810"]},{"id":"https://openalex.org/I80043","display_name":"Institut Curie","ror":"https://ror.org/04t0gwh46","country_code":"FR","type":"nonprofit","lineage":["https://openalex.org/I80043"]}],"countries":["FR","MY"],"is_corresponding":false,"raw_author_name":"Emmanuel Barillot","raw_affiliation_strings":["University Malaysia Pahang Malaysia","Service Bioinformatique, Institut Curie 26 Rue d'Ulm, 75248 Paris Cedex 05, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Malaysia Pahang Malaysia","institution_ids":["https://openalex.org/I102913810"]},{"raw_affiliation_string":"Service Bioinformatique, Institut Curie 26 Rue d'Ulm, 75248 Paris Cedex 05, France","institution_ids":["https://openalex.org/I80043"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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/T10885","display_name":"Gene expression and cancer classification","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.0017000000225380063,"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/T12867","display_name":"Advanced Biosensing Techniques and Applications","score":0.0007999999797903001,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/spot-localization","display_name":"spot localization","score":0.9350000023841858},{"id":"https://openalex.org/keywords/spot-quantification","display_name":"spot quantification","score":0.9210000038146973},{"id":"https://openalex.org/keywords/spot-segmentation","display_name":"spot segmentation","score":0.9190000295639038},{"id":"https://openalex.org/keywords/high-throughput-image-analysis","display_name":"high-throughput image analysis","score":0.6290000081062317}],"concepts":[{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.6789163947105408},{"id":"https://openalex.org/C186836561","wikidata":"https://www.wikidata.org/wiki/Q1931516","display_name":"Microarray","level":4,"score":0.6617584824562073},{"id":"https://openalex.org/C24361400","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Gene chip analysis","level":5,"score":0.5830111503601074},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.5475181937217712},{"id":"https://openalex.org/C187882448","wikidata":"https://www.wikidata.org/wiki/Q283478","display_name":"Complementary DNA","level":3,"score":0.4330718219280243},{"id":"https://openalex.org/C91881484","wikidata":"https://www.wikidata.org/wiki/Q191807","display_name":"Fluorescence","level":2,"score":0.4189970791339874},{"id":"https://openalex.org/C153911025","wikidata":"https://www.wikidata.org/wiki/Q7202","display_name":"Molecular biology","level":1,"score":0.3941155672073364},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.345646470785141},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.30948230624198914},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.30764639377593994},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.2683216333389282},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09488245844841003},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07957771420478821}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.5772/4961","doi":"https://doi.org/10.5772/4961","is_oa":true,"landing_page_url":"https://doi.org/10.5772/4961","pdf_url":null,"source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Vision Systems: Segmentation and Pattern Recognition","raw_type":"book-chapter"},{"id":"pmh:oai:biblioboard.com:793e5076-6259-429d-a896-31c0bfc4df40","doi":null,"is_oa":true,"landing_page_url":"https://openresearchlibrary.org/viewer/793e5076-6259-429d-a896-31c0bfc4df40","pdf_url":null,"source":{"id":"https://openalex.org/S4306401131","display_name":"BiblioBoard Library Catalog (Open Research Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MODID-6d55e02e354:IntechOpen","raw_type":"CHAPTER"},{"id":"pmh:oai:intechopen.com:325","doi":null,"is_oa":true,"landing_page_url":"http://www.intechopen.com/articles/show/title/robust_microarray_image_processing","pdf_url":null,"source":{"id":"https://openalex.org/S4306401291","display_name":"Contact-less Assessment of In-vivo Body Signals Using Microwave Doppler Radar (InTech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210154139","host_organization_name":"Intech (Slovakia)","host_organization_lineage":["https://openalex.org/I4210154139"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.intechopen.com/chapter/pdf-download/325","raw_type":"11"}],"best_oa_location":{"id":"doi:10.5772/4961","doi":"https://doi.org/10.5772/4961","is_oa":true,"landing_page_url":"https://doi.org/10.5772/4961","pdf_url":null,"source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Vision Systems: Segmentation and Pattern Recognition","raw_type":"book-chapter"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320893","display_name":"Institut National de la Sant\u00e9 et de la Recherche M\u00e9dicale","ror":"https://ror.org/02vjkv261"},{"id":"https://openalex.org/F4320322892","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73"},{"id":"https://openalex.org/F4320332622","display_name":"University of California, San Francisco","ror":"https://ror.org/043mz5j54"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W186027190","https://openalex.org/W1484187172","https://openalex.org/W1615172296","https://openalex.org/W1688612833","https://openalex.org/W1779730050","https://openalex.org/W1860661692","https://openalex.org/W1993755478","https://openalex.org/W2000978503","https://openalex.org/W2001074584","https://openalex.org/W2030343556","https://openalex.org/W2035260129","https://openalex.org/W2065460224","https://openalex.org/W2077617582","https://openalex.org/W2099376381","https://openalex.org/W2099388441","https://openalex.org/W2111524581","https://openalex.org/W2117607208","https://openalex.org/W2118221286","https://openalex.org/W2124423732","https://openalex.org/W2125495986","https://openalex.org/W2129249398","https://openalex.org/W2135902042","https://openalex.org/W2138944439","https://openalex.org/W2148917772","https://openalex.org/W2149687233","https://openalex.org/W2154253644","https://openalex.org/W2157356566","https://openalex.org/W2157924997","https://openalex.org/W2160868309","https://openalex.org/W2163646206","https://openalex.org/W2611591252","https://openalex.org/W4249938928","https://openalex.org/W6750519783"],"related_works":["https://openalex.org/W7096500171","https://openalex.org/W2118221286","https://openalex.org/W2065460224","https://openalex.org/W7095381189","https://openalex.org/W2035260129","https://openalex.org/W2158662292","https://openalex.org/W7100511674","https://openalex.org/W2065213690","https://openalex.org/W2131839013","https://openalex.org/W4234838366"],"abstract_inverted_index":{"In":[0],"this":[1,211,502,507],"work":[2],"we":[3,90,138,220,421,509,518],"have":[4],"presented":[5,505],"a":[6,140,222,236,262,311,368],"complete":[7],"solution":[8],"for":[9,18,86,130,206,430,436,460,494,543],"robust,":[10],"high-throughput,":[11],"two-color":[12],"microarray":[13,339,447],"image":[14],"processing":[15],"comprising":[16],"procedures":[17],"automatic":[19,34],"spot":[20,22,25,29,43,223,232,239,256,326,335,390,419,477,514,530],"localization,":[21],"quantification":[23,136],"and":[24,35,45,61,68,118,122,153,195,395,456,462,467],"quality":[26,233,240,257,267,279,284,342,356,515],"control.":[27],"The":[28,231,254,275,341],"localization":[30,391],"algorithm":[31,194,234],"is":[32,78,102,114,145,182,204,259,285,504],"fully":[33,75],"robust":[36,147],"with":[37,354],"respect":[38],"to":[39,95,116,175,226,324,330,349,382,408,500,512,528],"deviations":[40],"from":[41,261,300],"perfect":[42],"alignment":[44],"contamination.":[46],"As":[47,469],"an":[48,540],"input,":[49],"it":[50,82,101,470],"requires":[51],"only":[52,323],"the":[53,66,72,134,166,169,185,193,202,207,228,242,247,273,282,290,294,301,306,317,355,359,364,371,374,384,410,414,427,431,476,495],"common":[54],"array":[55,308],"design":[56],"parameters:":[57],"number":[58,62],"of":[59,63,71,238,244,264,272,277,293,313,334,373,413,475,536],"blocks":[60],"spots":[64,353,461],"in":[65,98,184,210,246,281,338,363,401,506,532],"x":[67],"y":[69],"directions":[70],"array.":[73,88],"Although":[74],"automatic,":[76],"there":[77],"no":[79],"guarantee":[80],"that":[81,168,397,450,520],"will":[83],"perform":[84],"well":[85],"any":[87],"Therefore,":[89],"offer":[91],"some":[92,352],"interactive":[93],"tools":[94,524],"repair":[96],"grid":[97],"case":[99],"if":[100],"erroneous.":[103],"Robust":[104],"ratio":[105,142,249,376],"estimation":[106],"comprises":[107],"two":[108,170,186],"steps.":[109],"First,":[110],"linear":[111,213,432],"regression":[112,162,214,433],"filtering":[113,163],"used":[115,346,510],"identify":[117,331],"remove":[119],"aberrant":[120,437],"pixels,":[121],"then":[123],"more":[124,424,454,457,521],"traditional":[125],"segmentation":[126,224],"approaches":[127],"are":[128,173,379,398,442,452],"applied":[129,527],"final":[131,229],"estimation.":[132],"Using":[133],"two-step":[135],"algorithm,":[137],"ensure":[139],"unique":[141,255],"estimate,":[143],"which":[144,181],"as":[146,148,154,156,367],"estimates":[149,157,215],"based":[150,158,288],"on":[151,159,165,289,305],"medians":[152],"precise":[155],"means.":[160],"Linear":[161],"relies":[164],"fact":[167],"color":[171],"channels":[172],"expected":[174],"be":[176,189,217,345,405,465,483,526],"highly":[177],"correlated.":[178],"Any":[179],"contamination,":[180],"uncorrelated":[183],"channels,":[187],"can":[188,216,344,404,422,464,482,525],"easily":[190],"recognized":[191],"by":[192,444],"removed.":[196],"For":[197,387],"noisy":[198],"(weakly":[199],"correlated)":[200],"data,":[201],"filter":[203],"transparent":[205],"data.":[208],"Moreover,":[209],"case,":[212],"biased.":[218],"Therefore":[219,316],"apply":[221],"step":[225],"establish":[227],"estimate.":[230],"provides":[235],"value":[237,258],"reflecting":[241],"level":[243],"confidence":[245],"obtained":[248,375],"estimate":[250],"at":[251],"each":[252,278],"spot.":[253,274],"derived":[260],"set":[263,312],"ten":[265],"marginal":[266],"parameters":[268,392],"characterizing":[269],"certain":[270],"features":[271,474],"contribution":[276],"parameter":[280],"overall":[283],"automatically":[286],"evaluated":[287],"visual":[291],"classification":[292],"spots,":[295,303],"or":[296,309,362],"using":[297],"information":[298,493,503,531],"available":[299],"replicated":[302,314],"located":[304],"same":[307],"over":[310],"arrays.":[315],"developed":[318,385,466],"procedure":[319],"allows":[320],"us":[321],"not":[322],"quantify":[325],"quality,":[327],"but":[328],"also":[329],"different":[332,473],"types":[333],"deficiency":[336],"occurring":[337],"technology.":[340],"values":[343],"either":[347],"directly":[348],"flag":[350],"out":[351],"lower":[357],"than":[358],"user-defined":[360],"threshold,":[361],"follow-up":[365,496],"analysis":[366],"weight":[369],"controlling":[370],"contribution/influence":[372],"estimates.":[377],"There":[378],"many":[380],"possibilities":[381,538],"advance":[383],"algorithms.":[386],"example,":[388],"several":[389],"(\u03b3,":[393],"\u03b1":[394],"\u03b2),":[396],"currently":[399],"fixed":[400],"predefined":[402],"values,":[403],"iteratively":[406],"adjusted":[407],"achieve":[409],"highest":[411],"regularity":[412],"generated":[415],"grid.":[416],"To":[417],"enhance":[418],"quantification,":[420],"envisage":[423],"sensitive":[425],"(than":[426],"single-case":[428],"diagnostics":[429],"model)":[434],"algorithms":[435],"pixel":[438],"detection.":[439],"These":[440,486],"perspectives":[441],"facilitated":[443],"further":[445],"standardizing":[446],"technology,":[448],"so":[449],"images":[451],"becoming":[453],"regular,":[455],"specific":[458],"models":[459],"arrays":[463],"justified.":[468],"was":[471],"shown,":[472],"(intensity,":[478],"size,":[479],"circularity,":[480],"etc.)":[481],"quantitatively":[484],"characterized.":[485],"characteristics,":[487],"besides":[488],"ratios,":[489],"may":[490],"contain":[491],"useful":[492],"analysis.":[497],"One":[498],"possibility":[499],"utilize":[501],"paper:":[508],"them":[511],"derive":[513],"values.":[516],"However,":[517],"believe":[519],"sophisticated":[522],"analytical":[523],"use":[529],"other":[533],"applications.":[534],"Exploration":[535],"these":[537],"creates":[539],"interesting":[541],"perspective":[542],"future":[544],"developments.":[545]},"counts_by_year":[],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2016-06-24T00:00:00"}