{"id":"https://openalex.org/W2096811773","doi":"https://doi.org/10.1109/cbms.2009.5255317","title":"Life cell tracking in microscopic images for high-content screening","display_name":"Life cell tracking in microscopic images for high-content screening","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2096811773","doi":"https://doi.org/10.1109/cbms.2009.5255317","mag":"2096811773"},"language":"en","primary_location":{"id":"doi:10.1109/cbms.2009.5255317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms.2009.5255317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 22nd IEEE International Symposium on Computer-Based Medical Systems","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/A5020080642","display_name":"Horst Perner","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116523","display_name":"Institute of Computer Vision and Applied Computer Sciences","ror":"https://ror.org/02b790a63","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210116523"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Horst Perner","raw_affiliation_strings":["Institute of Computer Vision and applied Computer Sciences, Leipzig, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Vision and applied Computer Sciences, Leipzig, Germany","institution_ids":["https://openalex.org/I4210116523"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085866048","display_name":"Petra Perner","orcid":"https://orcid.org/0000-0003-3355-1397"},"institutions":[{"id":"https://openalex.org/I4210116523","display_name":"Institute of Computer Vision and Applied Computer Sciences","ror":"https://ror.org/02b790a63","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210116523"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Petra Perner","raw_affiliation_strings":["Institute of Computer Vision and applied Computer Sciences, Leipzig, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Vision and applied Computer Sciences, Leipzig, Germany","institution_ids":["https://openalex.org/I4210116523"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5020080642"],"corresponding_institution_ids":["https://openalex.org/I4210116523"],"apc_list":null,"apc_paid":null,"fwci":0.3728,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77793669,"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":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7565255165100098},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.63606858253479},{"id":"https://openalex.org/keywords/high-content-screening","display_name":"High-content screening","score":0.6102266311645508},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5401297211647034},{"id":"https://openalex.org/keywords/drug-discovery","display_name":"Drug discovery","score":0.5305975675582886},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5286888480186462},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.514623761177063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5023837089538574},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.48737961053848267},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4856792688369751},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4363689422607422},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3772534132003784},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36687013506889343},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36031579971313477},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29787588119506836},{"id":"https://openalex.org/keywords/cell","display_name":"Cell","score":0.29357218742370605},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.15091753005981445},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0865948498249054}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7565255165100098},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.63606858253479},{"id":"https://openalex.org/C157044486","wikidata":"https://www.wikidata.org/wiki/Q5754482","display_name":"High-content screening","level":3,"score":0.6102266311645508},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5401297211647034},{"id":"https://openalex.org/C74187038","wikidata":"https://www.wikidata.org/wiki/Q1418791","display_name":"Drug discovery","level":2,"score":0.5305975675582886},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5286888480186462},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.514623761177063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5023837089538574},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.48737961053848267},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4856792688369751},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4363689422607422},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3772534132003784},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36687013506889343},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36031579971313477},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29787588119506836},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.29357218742370605},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.15091753005981445},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0865948498249054},{"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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":1,"locations":[{"id":"doi:10.1109/cbms.2009.5255317","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms.2009.5255317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 22nd IEEE International Symposium on Computer-Based Medical Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2011153983","https://openalex.org/W2038831543","https://openalex.org/W2133059825","https://openalex.org/W2159128898","https://openalex.org/W6680096826"],"related_works":["https://openalex.org/W3034751833","https://openalex.org/W2021094532","https://openalex.org/W2884937845","https://openalex.org/W2274888953","https://openalex.org/W4285271403","https://openalex.org/W4313700805","https://openalex.org/W2542007731","https://openalex.org/W1865162173","https://openalex.org/W2968379562","https://openalex.org/W2091015105"],"abstract_inverted_index":{"Live-Cell":[0],"Assays":[1],"are":[2,74],"used":[3],"to":[4],"study":[5],"the":[6,26,31,34,37,40,70],"dynamic":[7],"functional":[8],"cellular":[9],"processes":[10],"in":[11,22,39,60],"high-content":[12],"screening":[13],"of":[14,20,28,33,46,69],"drug":[15,83],"discovery":[16,84],"processes.":[17],"One":[18],"class":[19],"tasks":[21],"this":[23,61],"application":[24],"is":[25],"tracking":[27],"cells":[29],"and":[30,36,52,55],"description":[32],"events":[35],"changes":[38],"cell":[41],"characteristics.":[42],"The":[43],"large":[44],"amount":[45],"data":[47],"requires":[48],"fast":[49],"processing":[50],"algorithms":[51],"compact":[53],"object":[54],"event":[56],"descriptions.":[57],"We":[58],"propose":[59],"paper":[62],"a":[63,77,81],"similarity-based":[64],"approach":[65],"for":[66],"motion":[67],"detection":[68],"entire":[71],"cell.":[72],"Results":[73],"given":[75],"on":[76],"test":[78],"series":[79],"from":[80],"real":[82],"process.":[85]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}