{"id":"https://openalex.org/W2956265327","doi":"https://doi.org/10.1109/isbi.2019.8759387","title":"A Unified Bayesian MRF-Based Poissonian Deconvolution And Segmentation Algorithm For Quantitative Colocalization Analysis In Dual-Color Fluorescence Microscopy","display_name":"A Unified Bayesian MRF-Based Poissonian Deconvolution And Segmentation Algorithm For Quantitative Colocalization Analysis In Dual-Color Fluorescence Microscopy","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2956265327","doi":"https://doi.org/10.1109/isbi.2019.8759387","mag":"2956265327"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2019.8759387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2019.8759387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)","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/A5054024045","display_name":"Thyagarajan Radhakrishnan","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Thyagarajan Radhakrishnan","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology (IIT), Bombay, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology (IIT), Bombay, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017642893","display_name":"Suyash P. Awate","orcid":"https://orcid.org/0000-0002-4945-9539"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suyash P. Awate","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology Bombay, Mumbai, Maharashtra, IN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Bombay, Mumbai, Maharashtra, IN","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12590101,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"543","last_page":"547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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/T10540","display_name":"Advanced Fluorescence Microscopy Techniques","score":0.9965999722480774,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9821000099182129,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.8428708910942078},{"id":"https://openalex.org/keywords/colocalization","display_name":"Colocalization","score":0.7562738656997681},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.639931857585907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5753808617591858},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5626740455627441},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.5337485074996948},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.46545296907424927},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4426383972167969},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.4290824234485626},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4002266228199005},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3750917911529541},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.37490156292915344},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25071442127227783},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1337355077266693},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.0710289478302002}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.8428708910942078},{"id":"https://openalex.org/C40209533","wikidata":"https://www.wikidata.org/wiki/Q5147828","display_name":"Colocalization","level":2,"score":0.7562738656997681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.639931857585907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5753808617591858},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5626740455627441},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.5337485074996948},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.46545296907424927},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4426383972167969},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.4290824234485626},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4002266228199005},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3750917911529541},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.37490156292915344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25071442127227783},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1337355077266693},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.0710289478302002},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C95444343","wikidata":"https://www.wikidata.org/wiki/Q7141","display_name":"Cell biology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2019.8759387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2019.8759387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)","raw_type":"proceedings-article"},{"id":"pmh:oai:dsapce.library.iitb.ac.in:100/27848","is_oa":false,"landing_page_url":"http://dspace.library.iitb.ac.in/xmlui/handle/100/27848","pdf_url":null,"source":{"id":"https://openalex.org/S4306400899","display_name":"DSpace (IIT Bombay)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I162827531","host_organization_name":"Indian Institute of Technology Bombay","host_organization_lineage":["https://openalex.org/I162827531"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W146415700","https://openalex.org/W768360798","https://openalex.org/W1828555256","https://openalex.org/W1967374611","https://openalex.org/W1987869189","https://openalex.org/W2066960512","https://openalex.org/W2084120958","https://openalex.org/W2124733101","https://openalex.org/W2125782175","https://openalex.org/W2133665775","https://openalex.org/W2150737519","https://openalex.org/W2163274129","https://openalex.org/W2167439109","https://openalex.org/W2464706565","https://openalex.org/W2618903902","https://openalex.org/W2807492167","https://openalex.org/W2971595373","https://openalex.org/W4213262319","https://openalex.org/W4234848677"],"related_works":["https://openalex.org/W2056918828","https://openalex.org/W2097090565","https://openalex.org/W2008444830","https://openalex.org/W2804375118","https://openalex.org/W2112506753","https://openalex.org/W2029809897","https://openalex.org/W2132110568","https://openalex.org/W2160831725","https://openalex.org/W1495937069","https://openalex.org/W4233585817"],"abstract_inverted_index":{"Colocalization":[0],"studies":[1],"perform":[2],"dual-color":[3],"fluorescence":[4,46],"microscopy":[5],"imaging":[6,55],"of":[7,28,36,73,78,110,133,141,164,173],"two":[8],"(or":[9],"more)":[10],"biological":[11],"entities":[12],"in":[13,42,81],"the":[14,34,45,53,64,111,126,134,139,144,167,171,174],"same":[15],"specimen":[16],"to":[17,33,44,67,98],"elucidate":[18],"common":[19,50],"functional":[20],"characteristics":[21],"from":[22,52],"their":[23],"spatial":[24],"co-distribution.":[25],"Reliable":[26],"estimation":[27,132],"colocalization":[29,61,100,165],"is":[30,116],"challenging":[31],"due":[32],"presence":[35],"both":[37,176],"noise":[38],"and":[39,49,121,124,143,147,154,166,178],"blur":[40,120],"artifacts,":[41],"addition":[43],"intensity":[47,146],"variations":[48],"background,":[51],"digital":[54],"process.":[56],"State-of-the-art":[57],"methods":[58],"that":[59,115,158],"quantify":[60],"either":[62],"require":[63],"input":[65],"images":[66,169],"be":[68],"preprocessed":[69],"or":[70,76],"fall":[71],"short":[72],"addressing":[74],"one":[75],"more":[77],"these":[79],"challenges":[80],"a":[82,94,103],"holistic":[83],"way,":[84],"thereby":[85],"producing":[86],"incorrect":[87],"estimates.":[88],"In":[89],"contrast,":[90],"this":[91],"paper":[92],"proposes":[93],"unified":[95],"statistical":[96],"framework":[97],"estimate":[99],"using":[101],"(i)":[102],"Bayesian":[104],"Markov":[105],"random":[106],"field":[107],"(MRF)":[108],"modeling":[109],"observed":[112],"dual-channel":[113],"image":[114],"corrupted":[117],"by":[118],"(known)":[119],"Poisson":[122],"noise,":[123],"(ii)":[125],"expectation-maximization":[127],"(EM)":[128],"algorithm":[129],"for":[130],"maximum-a-posteriori":[131],"MRF":[135],"model":[136],"parameters,":[137],"including":[138],"degree":[140],"colocalization,":[142],"restored":[145],"segmented":[148],"images.":[149],"Experiments":[150],"on":[151],"several":[152],"benchmark":[153],"laboratory":[155],"datasets":[156],"show":[157],"our":[159],"method":[160],"provides":[161],"reliable":[162],"estimates":[163],"underlying":[168],"over":[170],"state":[172],"art,":[175],"qualitatively":[177],"quantitatively.":[179]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
