{"id":"https://openalex.org/W2003737347","doi":"https://doi.org/10.1109/isbi.2012.6235803","title":"Monitoring cardiomyocyte motionin real time through image registration and time series analysis","display_name":"Monitoring cardiomyocyte motionin real time through image registration and time series analysis","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2003737347","doi":"https://doi.org/10.1109/isbi.2012.6235803","mag":"2003737347"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2012.6235803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100359300","display_name":"Xiaofeng Liu","orcid":"https://orcid.org/0000-0003-1310-6739"},"institutions":[{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaofeng Liu","raw_affiliation_strings":["GE Global Research Center, Niskayuna, NY, USA","GE Global Research Center, One Research Circle, Niskayuna, NY, 12309"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GE Global Research Center, Niskayuna, NY, USA","institution_ids":["https://openalex.org/I4210134512"]},{"raw_affiliation_string":"GE Global Research Center, One Research Circle, Niskayuna, NY, 12309","institution_ids":["https://openalex.org/I4210134512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090539675","display_name":"Satish G. Iyengar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Satish G. Iyengar","raw_affiliation_strings":["GE Global Research Center, Niskayuna, NY, USA","GE Global Research Center, One Research Circle, Niskayuna, NY, 12309"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GE Global Research Center, Niskayuna, NY, USA","institution_ids":["https://openalex.org/I4210134512"]},{"raw_affiliation_string":"GE Global Research Center, One Research Circle, Niskayuna, NY, 12309","institution_ids":["https://openalex.org/I4210134512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027416348","display_name":"Jens Rittscher","orcid":"https://orcid.org/0000-0002-8528-8298"},"institutions":[{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jens Rittscher","raw_affiliation_strings":["GE Global Research Center, Niskayuna, NY, USA","GE Global Research Center, One Research Circle, Niskayuna, NY, 12309"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GE Global Research Center, Niskayuna, NY, USA","institution_ids":["https://openalex.org/I4210134512"]},{"raw_affiliation_string":"GE Global Research Center, One Research Circle, Niskayuna, NY, 12309","institution_ids":["https://openalex.org/I4210134512"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210134512"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1308","last_page":"1311"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9900000095367432,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/autoregressive-model","display_name":"Autoregressive model","score":0.891914963722229},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6967693567276001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6946792602539062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.627610445022583},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6254251003265381},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5748416185379028},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5706905126571655},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5314763188362122},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5024809837341309},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4836043417453766},{"id":"https://openalex.org/keywords/motion-analysis","display_name":"Motion analysis","score":0.47454509139060974},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.47158944606781006},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4437800347805023},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.43166399002075195},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4282698333263397},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.42474493384361267},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14718368649482727},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12589967250823975},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.11355435848236084},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.09439927339553833},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.077882319688797}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.891914963722229},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6967693567276001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6946792602539062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.627610445022583},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6254251003265381},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5748416185379028},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5706905126571655},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5314763188362122},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5024809837341309},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4836043417453766},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.47454509139060974},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.47158944606781006},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4437800347805023},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.43166399002075195},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4282698333263397},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.42474493384361267},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14718368649482727},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12589967250823975},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.11355435848236084},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.09439927339553833},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.077882319688797},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2012.6235803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:ora.ox.ac.uk:uuid:0eb6e30f-f61b-49ca-901e-ff24480bff93","is_oa":false,"landing_page_url":"https://ora.ox.ac.uk/objects/uuid:0eb6e30f-f61b-49ca-901e-ff24480bff93","pdf_url":null,"source":{"id":"https://openalex.org/S4306402636","display_name":"Oxford University Research Archive (ORA) (University of Oxford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40120149","host_organization_name":"University of Oxford","host_organization_lineage":["https://openalex.org/I40120149"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symplectic Elements at Oxford","raw_type":"Conference"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1509205144","https://openalex.org/W2026647000","https://openalex.org/W2046734432","https://openalex.org/W2054658115","https://openalex.org/W2142635246","https://openalex.org/W2144595616","https://openalex.org/W2158167845","https://openalex.org/W2165027208","https://openalex.org/W4292483811"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2126145365","https://openalex.org/W2171218219","https://openalex.org/W2036609560","https://openalex.org/W1972271943","https://openalex.org/W346861917","https://openalex.org/W2349019353"],"abstract_inverted_index":{"Preclinical":[0],"test":[1],"for":[2,40,97],"drug":[3,13,104],"response":[4],"on":[5],"cardiomyocyte":[6,46,114],"populations":[7,115],"is":[8,68,76,83],"a":[9,38,95],"key":[10],"component":[11,73],"in":[12,52],"development.":[14],"The":[15,48,106],"apparent":[16],"motion":[17,55,66],"of":[18,45,100,113],"the":[19,54,65,86],"cardiomyocytes":[20],"can":[21],"be":[22],"captured":[23],"using":[24,29,71,78],"video":[25],"microsopy,":[26],"and":[27,42,75,116],"analyzed":[28],"image":[30],"analysis":[31],"techniques.":[32],"In":[33],"this":[34,91],"paper,":[35],"we":[36],"describe":[37],"system":[39,49],"real-time":[41,53],"automatic":[43,98],"monitoring":[44],"motion.":[47],"first":[50],"computes":[51],"fields":[56],"through":[57],"GPU":[58],"acceleration.":[59],"A":[60],"1-D":[61],"signal":[62],"that":[63,85],"represents":[64],"patterns":[67],"then":[69],"extracted":[70],"principal":[72],"analysis,":[74],"studied":[77],"autoregressive":[79,87],"spectral":[80],"analysis.":[81],"It":[82],"shown":[84],"model":[88],"adequately":[89],"characterizes":[90],"signal,":[92],"thereby":[93],"providing":[94],"basis":[96],"detection":[99],"anomalies":[101],"resulting":[102],"from":[103],"injection.":[105],"approach":[107],"was":[108],"applied":[109],"to":[110],"two":[111],"types":[112],"demonstrated":[117],"promising":[118],"results.":[119]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
