{"id":"https://openalex.org/W2906624073","doi":"https://doi.org/10.1109/tbme.2018.2889043","title":"The Resolution Matrix in Tomographic Multiplexing: Optimization of Inter-Parameter Cross-Talk, Relative Quantitation, and Localization","display_name":"The Resolution Matrix in Tomographic Multiplexing: Optimization of Inter-Parameter Cross-Talk, Relative Quantitation, and Localization","publication_year":2018,"publication_date":"2018-12-21","ids":{"openalex":"https://openalex.org/W2906624073","doi":"https://doi.org/10.1109/tbme.2018.2889043","mag":"2906624073","pmid":"https://pubmed.ncbi.nlm.nih.gov/30582520"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2018.2889043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2018.2889043","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Biomedical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6659996","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074011064","display_name":"Steven S. Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I4210105618","display_name":"Alzheimer\u2019s Disease Neuroimaging Initiative","ror":"https://ror.org/01j20wc74","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210105618"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steven S. Hou","raw_affiliation_strings":["Alzheimer's Disease Research Unit, Harvard Medical School"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alzheimer's Disease Research Unit, Harvard Medical School","institution_ids":["https://openalex.org/I4210105618","https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059117241","display_name":"Brian J. Bacskai","orcid":"https://orcid.org/0000-0002-2584-6702"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I4210105618","display_name":"Alzheimer\u2019s Disease Neuroimaging Initiative","ror":"https://ror.org/01j20wc74","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210105618"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian J. Bacskai","raw_affiliation_strings":["Alzheimer's Disease Research Unit, Harvard Medical School"],"raw_orcid":"https://orcid.org/0000-0002-2584-6702","affiliations":[{"raw_affiliation_string":"Alzheimer's Disease Research Unit, Harvard Medical School","institution_ids":["https://openalex.org/I4210105618","https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068715325","display_name":"Anand T. N. Kumar","orcid":"https://orcid.org/0000-0002-8745-9599"},"institutions":[{"id":"https://openalex.org/I4210127055","display_name":"Athinoula A. Martinos Center for Biomedical Imaging","ror":"https://ror.org/032q5ym94","country_code":"US","type":"facility","lineage":["https://openalex.org/I136199984","https://openalex.org/I4210087915","https://openalex.org/I4210127055","https://openalex.org/I48633490","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anand T. N. Kumar","raw_affiliation_strings":["Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Charlestown, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-8745-9599","affiliations":[{"raw_affiliation_string":"Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Charlestown, MA, USA","institution_ids":["https://openalex.org/I4210127055"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7404,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.74561924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"66","issue":"8","first_page":"2341","last_page":"2351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.003000000026077032,"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/T11569","display_name":"Optical Coherence Tomography Applications","score":0.000699999975040555,"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/inverse-problem","display_name":"Inverse problem","score":0.6539642810821533},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6006336212158203},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5822569727897644},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5653306245803833},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4780036509037018},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.4550006687641144},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4487890899181366},{"id":"https://openalex.org/keywords/multiplexing","display_name":"Multiplexing","score":0.4293403625488281},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4287303686141968},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.41007161140441895},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2827240526676178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20031297206878662},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.16125985980033875},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1365489661693573}],"concepts":[{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.6539642810821533},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6006336212158203},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5822569727897644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5653306245803833},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4780036509037018},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.4550006687641144},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4487890899181366},{"id":"https://openalex.org/C19275194","wikidata":"https://www.wikidata.org/wiki/Q222903","display_name":"Multiplexing","level":2,"score":0.4293403625488281},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4287303686141968},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.41007161140441895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2827240526676178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20031297206878662},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.16125985980033875},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1365489661693573},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D041622","descriptor_name":"Tomography, Optical","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D041622","descriptor_name":"Tomography, Optical","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D041622","descriptor_name":"Tomography, Optical","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057054","descriptor_name":"Molecular Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057054","descriptor_name":"Molecular Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057054","descriptor_name":"Molecular Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tbme.2018.2889043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2018.2889043","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:30582520","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30582520","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on bio-medical engineering","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:6659996","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6659996","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Biomed Eng","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:6659996","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6659996","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Biomed Eng","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1385411388","display_name":null,"funder_award_id":"R01 EB 000768","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G4681561251","display_name":null,"funder_award_id":"R01 CA 211084","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W78643859","https://openalex.org/W1514248469","https://openalex.org/W1551325117","https://openalex.org/W1653357460","https://openalex.org/W1738124305","https://openalex.org/W1960176772","https://openalex.org/W1974515299","https://openalex.org/W2003266823","https://openalex.org/W2006911066","https://openalex.org/W2011731415","https://openalex.org/W2016052416","https://openalex.org/W2043649486","https://openalex.org/W2053050827","https://openalex.org/W2059825415","https://openalex.org/W2077264102","https://openalex.org/W2085446806","https://openalex.org/W2090747626","https://openalex.org/W2092911194","https://openalex.org/W2113660763","https://openalex.org/W2124755920","https://openalex.org/W2134642661","https://openalex.org/W2143163067","https://openalex.org/W2145836033","https://openalex.org/W2169523701","https://openalex.org/W2171317940","https://openalex.org/W2299220747","https://openalex.org/W4214677270","https://openalex.org/W4250589301"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W3175363083","https://openalex.org/W4285230481","https://openalex.org/W4385769873","https://openalex.org/W2015759683","https://openalex.org/W4281634296","https://openalex.org/W3155039083","https://openalex.org/W1543136835","https://openalex.org/W4210375670"],"abstract_inverted_index":{"OBJECTIVE:":[0],"We":[1,26,80,150],"use":[2],"a":[3,18,39,46,54,59,68,114,152,161,174,218],"resolution":[4,146],"matrix-based":[5],"Bayesian":[6,169,229],"framework":[7,230],"to":[8,70,124,128,148,173,236],"compare":[9,81],"inversion":[10,29,193],"methods":[11,83,194],"for":[12,156,176,184,200,221,241],"tomographic":[13],"fluorescence":[14,91,209],"lifetime":[15],"multiplexing":[16],"in":[17,113,131],"diffuse":[19],"medium,":[20,118],"such":[21],"as":[22,217],"biological":[23,226],"tissue.":[24],"METHODS:":[25],"consider":[27],"three":[28],"methods;":[30],"an":[31,71],"asymptotic":[32],"time":[33,43,48,62,89],"domain":[34,44,49,63,90,208],"(ATD)":[35],"approach,":[36,51],"based":[37],"on":[38],"multiexponential":[40],"analysis":[41,170],"of":[42,103,109,122,164,179,245],"data,":[45],"direct":[47],"(DTD)":[50],"which":[52,66],"is":[53,67],"minimum":[55],"error":[56,77],"solution,":[57],"and":[58,78,88,106,134,143,159,191],"cross-talk":[60,213],"constrained":[61],"(CCTD)":[64],"inversion,":[65],"solution":[69],"optimization":[72],"problem":[73],"that":[74],"minimizes":[75],"both":[76],"cross-talk.":[79],"these":[82,157],"using":[84,211],"Monte":[85],"Carlo":[86],"simulations":[87],"measurements":[92],"with":[93,119],"tissue-mimicking":[94],"phantoms.":[95],"RESULTS:":[96],"The":[97,168,189,228],"ATD":[98,190],"approach":[99],"provides":[100,137],"high":[101],"accuracy":[102,140],"relative":[104,132],"quantitation":[105,133,139],"spatial":[107,145],"localization":[108],"two":[110],"fluorophores":[111],"embedded":[112],"18-mm":[115],"thick":[116],"turbid":[117],"concentration":[120],"ratios":[121],"up":[123],"1:4.25.":[125],"DTD":[126,181,199],"leads":[127,172],"significant":[129,196],"errors":[130],"localization.":[135],"CCTD":[136,166,192],"improved":[138],"over":[141,198],"DTD,":[142],"better":[144],"compared":[147],"ATD.":[149],"present":[151],"rigorous":[153],"theoretical":[154],"basis":[155],"results":[158],"provide":[160,195],"complete":[162],"derivation":[163],"the":[165,180,242],"estimator.":[167],"also":[171],"formula":[175],"rapid":[177],"computation":[178],"inverse":[182,239],"operator":[183],"large-scale":[185],"tomography":[186],"measurements.":[187],"CONCLUSION:":[188],"advantages":[197],"accurately":[201],"estimating":[202],"multiple":[203,223,246],"overlapping":[204,247],"fluorophores.":[205],"SIGNIFICANCE:":[206],"Time":[207],"tomography,":[210],"zero":[212],"estimators,":[214],"can":[215,233],"serve":[216],"powerful":[219],"tool":[220],"quantifying":[222],"fluorescently":[224],"labeled":[225],"processes.":[227],"presented":[231],"here":[232],"be":[234],"applied":[235],"general":[237],"multiparameter":[238],"problems":[240],"quantitative":[243],"estimation":[244],"parameters.":[248]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}