{"id":"https://openalex.org/W2773871881","doi":"https://doi.org/10.1109/eusipco.2016.7760505","title":"Improved resolution of chromatographic peak analysis using multi-snapshot imaging","display_name":"Improved resolution of chromatographic peak analysis using multi-snapshot imaging","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2773871881","doi":"https://doi.org/10.1109/eusipco.2016.7760505","mag":"2773871881"},"language":"en","primary_location":{"id":"doi:10.1109/eusipco.2016.7760505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2016.7760505","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th European Signal Processing Conference (EUSIPCO)","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/A5016434897","display_name":"James R. Hopgood","orcid":"https://orcid.org/0000-0002-3029-2425"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"James R. Hopgood","raw_affiliation_strings":["Institute of Digital Communications, University of Edinburgh"],"affiliations":[{"raw_affiliation_string":"Institute of Digital Communications, University of Edinburgh","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5016434897"],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":0.3419,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65754162,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1533","last_page":"1537"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10412","display_name":"Microfluidic and Capillary Electrophoresis Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10412","display_name":"Microfluidic and Capillary Electrophoresis Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11255","display_name":"Microfluidic and Bio-sensing Technologies","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11393","display_name":"Biosensors and Analytical Detection","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/snapshot","display_name":"Snapshot (computer storage)","score":0.7687137126922607},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5281833410263062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.503025233745575},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4930379092693329},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4736546277999878},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4473084509372711},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.42779260873794556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3616141676902771},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19874218106269836}],"concepts":[{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.7687137126922607},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5281833410263062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.503025233745575},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4930379092693329},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4736546277999878},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4473084509372711},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.42779260873794556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3616141676902771},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19874218106269836},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eusipco.2016.7760505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2016.7760505","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th European Signal Processing Conference (EUSIPCO)","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":9,"referenced_works":["https://openalex.org/W619450810","https://openalex.org/W1555905843","https://openalex.org/W1996678244","https://openalex.org/W1999810562","https://openalex.org/W2026144807","https://openalex.org/W2115251670","https://openalex.org/W2161586009","https://openalex.org/W3103755862","https://openalex.org/W6677138948"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4380682236","https://openalex.org/W4249245269","https://openalex.org/W2025681766","https://openalex.org/W2765548132","https://openalex.org/W2159897444","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W2142226356","https://openalex.org/W3210000161"],"abstract_inverted_index":{"Snapshot":[0],"imaging":[1,36],"has":[2],"a":[3,28,34,80,100],"number":[4],"of":[5,23,142],"advantages":[6],"in":[7,16,122],"automated":[8],"gel":[9],"electrophoresis":[10],"compared":[11],"with":[12],"the":[13,21,111,115,123,140],"finish-line":[14],"method":[15],"capillary":[17],"electrophoresis,":[18],"although":[19],"at":[20,74],"expense":[22],"resolution.":[24,40],"This":[25],"paper":[26],"presents":[27],"novel":[29],"signal":[30,103],"processing":[31],"algorithm":[32],"enabling":[33],"multi-capture":[35],"modality":[37],"which":[38],"improves":[39],"The":[41,88,126],"approach":[42],"takes":[43],"multiple":[44,89],"snapshots":[45,53,66],"as":[46,110],"macromolecules":[47],"are":[48,77,91,108],"electrophoresed.":[49],"Peaks":[50],"from":[51,64],"latter":[52],"have":[54,67],"higher":[55],"resolution":[56,69],"but":[57,70],"poor":[58],"signal-to-noise":[59],"ratio":[60],"(SNR),":[61],"while":[62],"peaks":[63,113],"earlier":[65],"lower":[68],"better":[71],"SNR.":[72],"Signals":[73],"different":[75],"capture-times":[76],"related":[78],"by":[79],"scale-in-separation,":[81],"amplitude":[82],"scaling,":[83],"and":[84,93,99,135,138],"an":[85],"arbitrary":[86],"shift.":[87],"captures":[90],"realigned":[92],"fused":[94],"together":[95],"using":[96],"least-squares":[97],"estimation":[98],"physically":[101],"inspired":[102],"model.":[104],"Since":[105],"partial":[106],"waveforms":[107],"observed":[109],"chromatic":[112],"exit":[114],"sensor's":[116],"field-of-view,":[117],"this":[118],"is":[119],"accounted":[120],"for":[121],"realignment":[124],"algorithm.":[125],"proposed":[127],"technique":[128],"yields":[129],"improved":[130,132],"resolution,":[131],"fragment":[133],"concentration":[134],"size":[136],"estimates,":[137],"allows":[139],"removal":[141],"static":[143],"background":[144],"noise.":[145]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}