{"id":"https://openalex.org/W4288421322","doi":"https://doi.org/10.1145/3535508.3545532","title":"Semi-supervised 3D neural networks to track iPS cell division in label-free phase contrast time series images","display_name":"Semi-supervised 3D neural networks to track iPS cell division in label-free phase contrast time series images","publication_year":2022,"publication_date":"2022-07-28","ids":{"openalex":"https://openalex.org/W4288421322","doi":"https://doi.org/10.1145/3535508.3545532"},"language":"en","primary_location":{"id":"doi:10.1145/3535508.3545532","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3535508.3545532","pdf_url":null,"source":null,"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","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/A5059901229","display_name":"Adele P. Peskin","orcid":"https://orcid.org/0000-0003-4913-5566"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adele Peskin","raw_affiliation_strings":["NIST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NIST","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058861710","display_name":"Joe Chalfoun","orcid":"https://orcid.org/0000-0001-8901-7076"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joe Chalfoun","raw_affiliation_strings":["NIST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NIST","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025865534","display_name":"Michael Halter","orcid":"https://orcid.org/0000-0002-1628-324X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael Halter","raw_affiliation_strings":["NIST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NIST","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015219111","display_name":"Anne L. Plant","orcid":"https://orcid.org/0000-0002-8538-401X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anne Plant","raw_affiliation_strings":["NIST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NIST","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8808,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.87423935,"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":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T11255","display_name":"Microfluidic and Bio-sensing Technologies","score":0.9843999743461609,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.977400004863739,"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/computer-science","display_name":"Computer science","score":0.6208274960517883},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6163530349731445},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5913266539573669},{"id":"https://openalex.org/keywords/division","display_name":"Division (mathematics)","score":0.5417609214782715},{"id":"https://openalex.org/keywords/cell-division","display_name":"Cell division","score":0.5203225612640381},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.50077223777771},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4956899881362915},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4526020884513855},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3979927897453308},{"id":"https://openalex.org/keywords/cell","display_name":"Cell","score":0.2576456069946289},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.20242366194725037},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1080925464630127}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6208274960517883},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6163530349731445},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5913266539573669},{"id":"https://openalex.org/C60798267","wikidata":"https://www.wikidata.org/wiki/Q1226939","display_name":"Division (mathematics)","level":2,"score":0.5417609214782715},{"id":"https://openalex.org/C85813293","wikidata":"https://www.wikidata.org/wiki/Q188909","display_name":"Cell division","level":3,"score":0.5203225612640381},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.50077223777771},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4956899881362915},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4526020884513855},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3979927897453308},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.2576456069946289},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.20242366194725037},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1080925464630127},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3535508.3545532","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3535508.3545532","pdf_url":null,"source":null,"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","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":7,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2003345727","https://openalex.org/W2288807527","https://openalex.org/W2800292742","https://openalex.org/W2984092635","https://openalex.org/W3040314887","https://openalex.org/W3125564923"],"related_works":["https://openalex.org/W2087502554","https://openalex.org/W4213091376","https://openalex.org/W2038973998","https://openalex.org/W2033939734","https://openalex.org/W1975640583","https://openalex.org/W2404102772","https://openalex.org/W2079581397","https://openalex.org/W1545433272","https://openalex.org/W2072775677","https://openalex.org/W2007282198"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,10,29,40,121,140,161,183,200,219],"predict":[3],"cell":[4,47,53,102,125,152,171,250,269],"population":[5],"behavior,":[6],"it":[7],"is":[8,37],"important":[9],"understand":[11],"the":[12,50,202,221,228,237,240,248,262],"dynamic":[13],"characteristics":[14],"of":[15,43,52,75,94,112,124,150,181,215,239,247,267,276],"individual":[16,142],"cells.":[17],"Individual":[18],"induced":[19],"pluripotent":[20],"stem":[21],"(iPS)":[22],"cells":[23,44,80,208,222],"in":[24,59,107,136,166,168,253],"colonies":[25],"have":[26],"been":[27],"difficult":[28],"track":[30,220],"over":[31,118],"long":[32],"times,":[33],"both":[34],"because":[35,46],"segmentation":[36],"challenging":[38],"due":[39],"close":[41],"proximity":[42],"and":[45,87,204,234,260,264],"morphology":[48],"at":[49],"time":[51,205,263],"division":[54,103,126,251,272],"does":[55],"not":[56,66,82],"change":[57],"dramatically":[58],"phase":[60],"contrast":[61],"images;":[62],"image":[63,164,258],"features":[64],"do":[65,81],"provide":[67],"sufficient":[68],"discrimination":[69],"for":[70,134],"2D":[71,131,197,241],"neural":[72,115,132,159,198],"network":[73,116,133,160,199],"models":[74],"label-free":[76],"images.":[77],"However,":[78],"these":[79,137],"move":[83],"significantly":[84],"during":[85],"division,":[86],"they":[88,211],"display":[89],"a":[90,97,110,113,130,147,185],"distinct":[91],"temporal":[92],"pattern":[93],"morphologies.":[95],"As":[96],"result,":[98],"we":[99,145],"can":[100],"detect":[101],"with":[104,178,195,236],"images":[105,135,182],"overlaid":[106],"time.":[108],"Using":[109],"combination":[111],"3D":[114,158,163,188,229],"applied":[117],"time-lapse":[119],"data":[120],"find":[122,141,162,201],"regions":[123,139,165,191],"activity,":[127],"followed":[128],"by":[129],"selected":[138],"dividing":[143],"cells,":[144],"developed":[146],"robust":[148],"detector":[149],"iPS":[151],"division.":[153,224],"We":[154,243],"created":[155],"an":[156,274],"initial":[157],"(x,y,t)":[167],"which":[169],"identified":[170,233,245],"divisions":[172],"occurred,":[173],"then":[174,193],"used":[175],"semi-supervised":[176],"training":[177],"additional":[179],"stacks":[180],"create":[184],"more":[186],"refined":[187],"model.":[189,242],"These":[190],"were":[192,232],"inferenced":[194,230],"our":[196,254],"location":[203,266],"immediately":[206],"before":[207,271],"divide":[209],"when":[210],"contain":[212],"two":[213],"sets":[214],"chromatin,":[216],"information":[217],"needed":[218],"after":[223],"False":[225],"positives":[226],"from":[227],"results":[231],"removed":[235],"addition":[238],"successfully":[244],"37":[246],"38":[249],"events":[252],"manually":[255],"annotated":[256],"test":[257],"stack,":[259],"specified":[261],"(x,y)":[265],"each":[268],"just":[270],"within":[273],"accuracy":[275],"10":[277],"pixels.":[278]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
