{"id":"https://openalex.org/W4205667970","doi":"https://doi.org/10.1109/bigdata52589.2021.9671369","title":"Cell Nuclei and Lipid Droplets Quantification in Stimulated Raman Images","display_name":"Cell Nuclei and Lipid Droplets Quantification in Stimulated Raman Images","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W4205667970","doi":"https://doi.org/10.1109/bigdata52589.2021.9671369"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata52589.2021.9671369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671369","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Big Data (Big Data)","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/A5070232607","display_name":"Adiel Felsen","orcid":null},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Adiel Felsen","raw_affiliation_strings":["Department of Computer Science, Binghamton University, State University of New York, Binghamton, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Binghamton University, State University of New York, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091730669","display_name":"Yuhao Yuan","orcid":"https://orcid.org/0000-0003-0731-0127"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuhao Yuan","raw_affiliation_strings":["Department of Biomedical Engineering, Binghamton University, State University of New York, Binghamton, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Binghamton University, State University of New York, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077697401","display_name":"Nikolas Burzynski","orcid":null},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nikolas Burzynski","raw_affiliation_strings":["Department of Computer Science, Binghamton University, State University of New York, Binghamton, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Binghamton University, State University of New York, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028977108","display_name":"David Reitano","orcid":null},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Reitano","raw_affiliation_strings":["Department of Computer Science, Binghamton University, State University of New York, Binghamton, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Binghamton University, State University of New York, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422345","display_name":"Zhibo Wang","orcid":"https://orcid.org/0000-0002-5804-3279"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhibo Wang","raw_affiliation_strings":["Department of Biomedical Engineering, Binghamton University, State University of New York, Binghamton, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Binghamton University, State University of New York, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070983962","display_name":"Khalid A. Sethi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113162","display_name":"United Health Services","ror":"https://ror.org/024nhth42","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210113162"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khalid A. Sethi","raw_affiliation_strings":["Department of Neurosurgery, United Health Services, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Neurosurgery, United Health Services, NY, USA","institution_ids":["https://openalex.org/I4210113162"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101948412","display_name":"Fake Lu","orcid":"https://orcid.org/0000-0001-6281-7639"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fake Lu","raw_affiliation_strings":["Department of Biomedical Engineering, Binghamton University, State University of New York, Binghamton, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Binghamton University, State University of New York, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051862789","display_name":"Kenneth Chiu","orcid":"https://orcid.org/0000-0001-5643-1043"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kenneth Chiu","raw_affiliation_strings":["Department of Computer Science, Binghamton University, State University of New York, Binghamton, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Binghamton University, State University of New York, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5070232607"],"corresponding_institution_ids":["https://openalex.org/I123946342"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.55128205,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5888","last_page":"5890"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":1.0,"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/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":1.0,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9984999895095825,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9848999977111816,"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/lipid-droplet","display_name":"Lipid droplet","score":0.6677981615066528},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5857337117195129},{"id":"https://openalex.org/keywords/microscopy","display_name":"Microscopy","score":0.539590060710907},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5183992385864258},{"id":"https://openalex.org/keywords/voronoi-diagram","display_name":"Voronoi diagram","score":0.48467209935188293},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.4303871989250183},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.37817448377609253},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3407779932022095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3244759738445282},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.24081292748451233},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.21460095047950745},{"id":"https://openalex.org/keywords/cell-biology","display_name":"Cell biology","score":0.20475837588310242},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1615704596042633}],"concepts":[{"id":"https://openalex.org/C25095133","wikidata":"https://www.wikidata.org/wiki/Q573950","display_name":"Lipid droplet","level":2,"score":0.6677981615066528},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5857337117195129},{"id":"https://openalex.org/C147080431","wikidata":"https://www.wikidata.org/wiki/Q1074953","display_name":"Microscopy","level":2,"score":0.539590060710907},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5183992385864258},{"id":"https://openalex.org/C24881265","wikidata":"https://www.wikidata.org/wiki/Q757267","display_name":"Voronoi diagram","level":2,"score":0.48467209935188293},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.4303871989250183},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.37817448377609253},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3407779932022095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3244759738445282},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.24081292748451233},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.21460095047950745},{"id":"https://openalex.org/C95444343","wikidata":"https://www.wikidata.org/wiki/Q7141","display_name":"Cell biology","level":1,"score":0.20475837588310242},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1615704596042633},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata52589.2021.9671369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671369","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Big Data (Big Data)","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":9,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2115318086","https://openalex.org/W2168056522","https://openalex.org/W2337210439","https://openalex.org/W2914272101","https://openalex.org/W2999770235","https://openalex.org/W4295312788","https://openalex.org/W6735463952","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W3020555194","https://openalex.org/W2793256277","https://openalex.org/W4360958759","https://openalex.org/W2348235448","https://openalex.org/W2116218375","https://openalex.org/W2389906634","https://openalex.org/W176898926","https://openalex.org/W288156810","https://openalex.org/W1562406979","https://openalex.org/W2962797788"],"abstract_inverted_index":{"Stimulated":[0],"Raman":[1],"scattering":[2],"(SRS)":[3],"microscopy":[4],"is":[5,30],"a":[6,82,100,105],"stain-free,":[7],"laser-scanning":[8],"imaging":[9,16],"technology":[10],"that":[11],"allows":[12],"for":[13],"rapid":[14],"chemical":[15],"at":[17],"high-resolution.":[18],"When":[19],"developing":[20],"cancer":[21,77,138],"diagnosis":[22],"based":[23],"on":[24,122],"cellular":[25,131],"and":[26,37,61,93,115,128,136],"tissue":[27],"pathology,":[28],"it":[29],"critical":[31],"to":[32,68,87,108,126],"understand":[33],"the":[34,40,51,59,89,110],"number,":[35],"size,":[36],"density":[38],"of":[39,75,85,91,112],"cell":[41,70],"nuclei,":[42],"as":[43,45,50],"well":[44],"other":[46],"metabolic":[47],"features,":[48],"such":[49],"lipid":[52,94,116],"droplets.":[53,95],"In":[54],"our":[55],"research,":[56],"we":[57,102],"compare":[58],"U-Net":[60,86],"Mask":[62],"R-CNN":[63],"convolutional":[64],"neural":[65],"network":[66],"architectures":[67],"segment":[69,129],"nuclei":[71,92],"from":[72],"SRS":[73,141],"images":[74],"cultured":[76],"cells.":[78],"We":[79],"also":[80],"use":[81],"modified":[83],"version":[84],"identify":[88,127],"centroids":[90,98],"Combining":[96],"these":[97,124],"with":[99,140],"segmentation,":[101],"can":[103],"generate":[104],"Voronoi":[106],"diagram":[107],"estimate":[109],"size":[111],"each":[113],"nucleus":[114],"droplet.":[117],"Future":[118],"work":[119],"will":[120],"focus":[121],"applying":[123],"methods":[125],"various":[130],"structure":[132],"in":[133],"both":[134],"cells":[135],"human":[137],"tissues":[139],"imaging.":[142]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}