{"id":"https://openalex.org/W3046096008","doi":"https://doi.org/10.23919/acc45564.2020.9147877","title":"A time-varying approach to single particle tracking with a nonlinear observation model","display_name":"A time-varying approach to single particle tracking with a nonlinear observation model","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3046096008","doi":"https://doi.org/10.23919/acc45564.2020.9147877","mag":"3046096008","pmid":"https://pubmed.ncbi.nlm.nih.gov/34483467","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/8411988"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc45564.2020.9147877","pdf_url":null,"source":{"id":"https://openalex.org/S4363607732","display_name":"2022 American Control Conference (ACC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8411988","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035521823","display_name":"Boris I. Godoy","orcid":"https://orcid.org/0000-0003-0304-7907"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Boris I. Godoy","raw_affiliation_strings":["Department of Mechanical Engineering, Boston University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Boston University, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100856277","display_name":"Ye Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ye Lin","raw_affiliation_strings":["Division of Systems Engineering, Boston University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Division of Systems Engineering, Boston University, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081816980","display_name":"Sean B. Andersson","orcid":"https://orcid.org/0000-0001-7575-3507"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sean B. Andersson","raw_affiliation_strings":["Division of Systems Engineering, Boston University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Division of Systems Engineering, Boston University, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.286,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.698824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":73,"max":77},"biblio":{"volume":null,"issue":null,"first_page":"5151","last_page":"5156"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10540","display_name":"Advanced Fluorescence Microscopy Techniques","score":0.9998,"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/T10540","display_name":"Advanced Fluorescence Microscopy Techniques","score":0.9998,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9757,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9332,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6367805},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.44682518}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.67589116},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6367805},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6038109},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.59475607},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.51215744},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.50630105},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.50554085},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.4957198},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.44682518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44631654},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.43632835},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33645856},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2086015},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0890958},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc45564.2020.9147877","pdf_url":null,"source":{"id":"https://openalex.org/S4363607732","display_name":"2022 American Control Conference (ACC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8411988","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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34483467","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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8411988","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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":29,"referenced_works":["https://openalex.org/W1489990234","https://openalex.org/W1520710862","https://openalex.org/W1967969088","https://openalex.org/W2003967703","https://openalex.org/W2011691068","https://openalex.org/W2021262032","https://openalex.org/W2029298164","https://openalex.org/W2049633694","https://openalex.org/W2061040818","https://openalex.org/W2062552264","https://openalex.org/W2077726577","https://openalex.org/W2089177239","https://openalex.org/W2092923243","https://openalex.org/W2128350437","https://openalex.org/W2135438092","https://openalex.org/W2146404768","https://openalex.org/W2152157469","https://openalex.org/W2315265924","https://openalex.org/W2381448841","https://openalex.org/W2417956311","https://openalex.org/W2498094064","https://openalex.org/W2584476676","https://openalex.org/W2613487680","https://openalex.org/W2792296590","https://openalex.org/W2915172627","https://openalex.org/W2966507839","https://openalex.org/W3010711971","https://openalex.org/W3046619701","https://openalex.org/W4232464081"],"related_works":["https://openalex.org/W4253883008","https://openalex.org/W4252024964","https://openalex.org/W3204184292","https://openalex.org/W2341297234","https://openalex.org/W2162299404","https://openalex.org/W2103062922","https://openalex.org/W2078124810","https://openalex.org/W2041758614","https://openalex.org/W1585960250","https://openalex.org/W1573859018"],"abstract_inverted_index":{"Single":[0],"Particle":[1],"Tracking":[2],"(SPT)":[3],"is":[4,25,155,170],"a":[5,31,51,101,119,148,159,178],"powerful":[6],"class":[7],"of":[8,14,30,33,111,180],"tools":[9],"for":[10,56,190],"analyzing":[11],"the":[12,28,44,62,75,97,107,112,124,138,145,188,191,196],"dynamics":[13],"individual":[15],"biological":[16],"macromolecules":[17],"moving":[18],"inside":[19],"living":[20],"cells.":[21],"The":[22],"acquired":[23],"data":[24,63],"typically":[26],"in":[27,128,172],"form":[29],"sequence":[32],"camera":[34],"images":[35],"that":[36,167],"are":[37],"then":[38],"post-processed":[39],"to":[40,96,106,122,132,137,143],"reveal":[41],"details":[42],"about":[43],"motion.":[45],"In":[46,130],"this":[47,116],"work,":[48],"we":[49,140],"develop":[50],"local":[52],"time-varying":[53,98,135,174],"estimation":[54],"algorithm":[55,79,193],"estimating":[57],"motion":[58],"model":[59,117,149],"parameters":[60],"from":[61,164],"considering":[64],"nonlinear":[65],"observations.":[66],"Our":[67],"approach":[68,136,169],"uses":[69,118],"several":[70],"well-known":[71],"existing":[72],"tools,":[73],"namely":[74],"Expectation":[76],"Maximization":[77],"(EM)":[78],"combined":[80],"with":[81,150],"an":[82,88],"Unscented":[83,89],"Kalman":[84],"filter":[85],"(UKF)":[86],"and":[87,93],"Rauch-Tung-Striebel":[90],"smoother":[91],"(URTSS),":[92],"applies":[94],"them":[95],"case":[99],"through":[100],"sliding":[102],"window":[103],"methodology.":[104],"Due":[105],"shot":[108],"noise":[109,126],"characteristics":[110],"photon":[113],"generation":[114],"process,":[115],"Poisson":[120],"distribution":[121],"capture":[123],"measurement":[125],"inherent":[127],"imaging.":[129],"order":[131],"apply":[133],"our":[134,168],"UKF,":[139],"first":[141],"need":[142],"transform":[144],"measurements":[146],"into":[147],"additive":[151],"Gaussian":[152],"noise.":[153],"This":[154],"carried":[156],"out":[157],"using":[158],"variance":[160],"stabilizing":[161],"transform.":[162],"Results":[163],"simulations":[165],"show":[166],"successful":[171],"tracing":[173],"diffusion":[175],"constants":[176],"at":[177],"range":[179],"physically":[181],"relevant":[182],"signal":[183],"levels.":[184],"We":[185],"also":[186],"discuss":[187],"initialization":[189],"EM":[192],"based":[194],"on":[195],"available":[197],"data.":[198]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3046096008","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2024-12-28T07:51:21.665497","created_date":"2020-08-03"}