{"id":"https://openalex.org/W2997596620","doi":"https://doi.org/10.1109/tmi.2019.2963865","title":"Instance-Level Microtubule Tracking","display_name":"Instance-Level Microtubule Tracking","publication_year":2020,"publication_date":"2020-01-03","ids":{"openalex":"https://openalex.org/W2997596620","doi":"https://doi.org/10.1109/tmi.2019.2963865","mag":"2997596620","pmid":"https://pubmed.ncbi.nlm.nih.gov/31905134"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2019.2963865","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2019.2963865","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1901.06006","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Samira Masoudi","orcid":"https://orcid.org/0000-0002-5266-2386"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]},{"id":"https://openalex.org/I12834331","display_name":"University of Wyoming","ror":"https://ror.org/01485tq96","country_code":"US","type":"education","lineage":["https://openalex.org/I12834331"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samira Masoudi","raw_affiliation_strings":["University of Central Florida, Orlando, USA","University of Wyoming, Laramie, USA"],"raw_orcid":"https://orcid.org/0000-0002-5266-2386","affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, USA","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"University of Wyoming, Laramie, USA","institution_ids":["https://openalex.org/I12834331"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Afsaneh Razi","orcid":"https://orcid.org/0000-0001-5829-8004"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Afsaneh Razi","raw_affiliation_strings":["University of Central Florida, Orlando, USA"],"raw_orcid":"https://orcid.org/0000-0001-5829-8004","affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Cameron H. G. Wright","orcid":"https://orcid.org/0000-0002-6029-1896"},"institutions":[{"id":"https://openalex.org/I12834331","display_name":"University of Wyoming","ror":"https://ror.org/01485tq96","country_code":"US","type":"education","lineage":["https://openalex.org/I12834331"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cameron H. G. Wright","raw_affiliation_strings":["University of Wyoming, Laramie, USA"],"raw_orcid":"https://orcid.org/0000-0002-6029-1896","affiliations":[{"raw_affiliation_string":"University of Wyoming, Laramie, USA","institution_ids":["https://openalex.org/I12834331"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jesse C. Gatlin","orcid":null},"institutions":[{"id":"https://openalex.org/I12834331","display_name":"University of Wyoming","ror":"https://ror.org/01485tq96","country_code":"US","type":"education","lineage":["https://openalex.org/I12834331"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jesse C. Gatlin","raw_affiliation_strings":["University of Wyoming, Laramie, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wyoming, Laramie, USA","institution_ids":["https://openalex.org/I12834331"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ulas Bagci","orcid":"https://orcid.org/0000-0001-7379-6829"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ulas Bagci","raw_affiliation_strings":["University of Central Florida, Orlando, USA"],"raw_orcid":"https://orcid.org/0000-0001-7379-6829","affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, USA","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3379,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.83295157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"39","issue":"6","first_page":"2061","last_page":"2075"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.4361000061035156,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.4361000061035156,"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/T10862","display_name":"AI in cancer detection","score":0.188400000333786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10492","display_name":"Microtubule and mitosis dynamics","score":0.10740000009536743,"subfield":{"id":"https://openalex.org/subfields/1307","display_name":"Cell 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/hyperparameter","display_name":"Hyperparameter","score":0.6294000148773193},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6090999841690063},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6060000061988831},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5669000148773193},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5320000052452087},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4959000051021576},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49050000309944153},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48429998755455017}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6482999920845032},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6417999863624573},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6294000148773193},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6090999841690063},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6060000061988831},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5669000148773193},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5320000052452087},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4959000051021576},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49050000309944153},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48429998755455017},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4790000021457672},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4551999866962433},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4318000078201294},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40209999680519104},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3961000144481659},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.38519999384880066},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.37459999322891235},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.3732999861240387},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.33880001306533813},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.2930000126361847},{"id":"https://openalex.org/C71559656","wikidata":"https://www.wikidata.org/wiki/Q671298","display_name":"Divide and conquer algorithms","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25440001487731934},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2531999945640564},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25049999356269836}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008870","descriptor_name":"Microtubules","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008870","descriptor_name":"Microtubules","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008870","descriptor_name":"Microtubules","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008870","descriptor_name":"Microtubules","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2019.2963865","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2019.2963865","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","raw_type":"journal-article"},{"id":"pmid:31905134","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31905134","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 medical imaging","raw_type":null},{"id":"pmh:oai:arXiv.org:1901.06006","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1901.06006","pdf_url":"https://arxiv.org/pdf/1901.06006","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1901.06006","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1901.06006","pdf_url":"https://arxiv.org/pdf/1901.06006","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W65124300","https://openalex.org/W1497305825","https://openalex.org/W1745334888","https://openalex.org/W1931278930","https://openalex.org/W1963639964","https://openalex.org/W1965404941","https://openalex.org/W1973421894","https://openalex.org/W1979136506","https://openalex.org/W1982221523","https://openalex.org/W1995583822","https://openalex.org/W2004481819","https://openalex.org/W2032733101","https://openalex.org/W2037079071","https://openalex.org/W2047080266","https://openalex.org/W2059612594","https://openalex.org/W2061991703","https://openalex.org/W2092463269","https://openalex.org/W2093057809","https://openalex.org/W2098298049","https://openalex.org/W2101708587","https://openalex.org/W2101916976","https://openalex.org/W2105916176","https://openalex.org/W2108011758","https://openalex.org/W2114477465","https://openalex.org/W2136043254","https://openalex.org/W2168237413","https://openalex.org/W2193325189","https://openalex.org/W2216125271","https://openalex.org/W2287663230","https://openalex.org/W2416899460","https://openalex.org/W2555182955","https://openalex.org/W2557889580","https://openalex.org/W2560474170","https://openalex.org/W2605482930","https://openalex.org/W2606338817","https://openalex.org/W2621053731","https://openalex.org/W2737725206","https://openalex.org/W2758150123","https://openalex.org/W2765268259","https://openalex.org/W2806940272","https://openalex.org/W2962676885","https://openalex.org/W2963150697","https://openalex.org/W2963659353","https://openalex.org/W2963857746","https://openalex.org/W2963921921","https://openalex.org/W2964261464","https://openalex.org/W4292692470","https://openalex.org/W6698583804","https://openalex.org/W6739901393","https://openalex.org/W6743811873","https://openalex.org/W6758619446"],"related_works":[],"abstract_inverted_index":{"We":[0,74,142],"propose":[1],"a":[2,43],"new":[3],"method":[4],"of":[5,82,148,182,187],"instance-level":[6],"microtubule":[7],"(MT)":[8],"tracking":[9],"in":[10,93,170],"time-lapse":[11,80,90],"image":[12,91],"series":[13,81,92],"using":[14,69],"recurrent":[15],"attention.":[16],"Our":[17,116,168],"novel":[18],"deep":[19,153],"learning":[20,124],"algorithm":[21,125],"segments":[22],"individual":[23],"MTs":[24],"at":[25],"each":[26,48],"frame.":[27],"Segmentation":[28],"results":[29,118],"from":[30,78,137,161],"successive":[31],"frames":[32],"are":[33,173],"used":[34],"to":[35,86,135,165,175],"assign":[36],"correspondences":[37],"among":[38],"MTs.":[39],"This":[40,97],"ultimately":[41],"generates":[42],"distinct":[44],"path":[45],"trajectory":[46],"for":[47,107,129],"MT":[49,59,83,89,130],"through":[50],"the":[51,113,121,127,138,146,157,179,185],"frames.":[52],"Based":[53],"on":[54,112],"these":[55],"trajectories,":[56],"we":[57,66],"estimate":[58],"velocities.":[60],"To":[61],"validate":[62],"our":[63,94,108,152],"proposed":[64,122],"technique,":[65],"conduct":[67],"experiments":[68],"real":[70,79,114],"and":[71,104],"simulated":[72,95],"data.":[73,96,115],"use":[75],"statistics":[76],"derived":[77],"gliding":[84],"assays":[85],"simulate":[87],"realistic":[88],"data":[98],"set":[99],"is":[100],"employed":[101],"as":[102],"pre-training":[103],"hyperparameter":[105],"optimization":[106],"network":[109,154],"before":[110],"training":[111],"experimental":[117],"show":[119],"that":[120],"supervised":[123],"improves":[126],"precision":[128],"instance":[131],"velocity":[132],"estimation":[133],"drastically":[134],"71.3%":[136],"baseline":[139],"result":[140],"(29.3%).":[141],"also":[143],"demonstrate":[144],"how":[145],"inclusion":[147],"temporal":[149],"information":[150],"into":[151],"can":[155],"reduce":[156],"false":[158],"negative":[159],"rates":[160],"67.8%":[162],"(baseline)":[163],"down":[164],"28.7%":[166],"(proposed).":[167],"findings":[169],"this":[171],"work":[172],"expected":[174],"help":[176],"biologists":[177],"characterize":[178],"spatial":[180],"arrangement":[181],"MTs,":[183],"specifically":[184],"effects":[186],"MT-MT":[188],"interactions.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2020-01-10T00:00:00"}