{"id":"https://openalex.org/W2762353980","doi":"https://doi.org/10.1109/tip.2017.2763821","title":"Automated and Robust Quantification of Colocalization in Dual-Color Fluorescence Microscopy: A Nonparametric Statistical Approach","display_name":"Automated and Robust Quantification of Colocalization in Dual-Color Fluorescence Microscopy: A Nonparametric Statistical Approach","publication_year":2017,"publication_date":"2017-10-17","ids":{"openalex":"https://openalex.org/W2762353980","doi":"https://doi.org/10.1109/tip.2017.2763821","mag":"2762353980","pmid":"https://pubmed.ncbi.nlm.nih.gov/29053465"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2017.2763821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2763821","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1710.00965","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078789660","display_name":"Shulei Wang","orcid":"https://orcid.org/0000-0001-7440-9544"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]},{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shulei Wang","raw_affiliation_strings":["Columbia University, New York, NY, USA","University of Wisconsin-Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072445273","display_name":"Ellen T. Arena","orcid":"https://orcid.org/0000-0002-1049-9971"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]},{"id":"https://openalex.org/I29680605","display_name":"Morgridge Institute for Research","ror":"https://ror.org/05cb4rb43","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I135310074","https://openalex.org/I29680605"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ellen T. Arena","raw_affiliation_strings":["Morgridge Institute for Research, Madison, WI, USA","University of Wisconsin-Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"Morgridge Institute for Research, Madison, WI, USA","institution_ids":["https://openalex.org/I29680605"]},{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010413374","display_name":"Kevin W. Eliceiri","orcid":"https://orcid.org/0000-0001-8678-670X"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]},{"id":"https://openalex.org/I29680605","display_name":"Morgridge Institute for Research","ror":"https://ror.org/05cb4rb43","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I135310074","https://openalex.org/I29680605"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin W. Eliceiri","raw_affiliation_strings":["Morgridge Institute for Research, Madison, WI, USA","University of Wisconsin-Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"Morgridge Institute for Research, Madison, WI, USA","institution_ids":["https://openalex.org/I29680605"]},{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070196780","display_name":"Ming Yuan","orcid":"https://orcid.org/0000-0002-4415-8606"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]},{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming Yuan","raw_affiliation_strings":["Columbia University, New York, NY, USA","University of Wisconsin-Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078789660"],"corresponding_institution_ids":["https://openalex.org/I135310074","https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":1.9437,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.89531017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"27","issue":"2","first_page":"622","last_page":"636"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9753000140190125,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9405999779701233,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/colocalization","display_name":"Colocalization","score":0.9741864204406738},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.7916710376739502},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7395434975624084},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6140956878662109},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5536389350891113},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4687158167362213},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4550224244594574},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4159236550331116},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.3928160071372986},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23836451768875122},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23469769954681396},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1522473692893982},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09214183688163757}],"concepts":[{"id":"https://openalex.org/C40209533","wikidata":"https://www.wikidata.org/wiki/Q5147828","display_name":"Colocalization","level":2,"score":0.9741864204406738},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.7916710376739502},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7395434975624084},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6140956878662109},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5536389350891113},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4687158167362213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4550224244594574},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4159236550331116},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.3928160071372986},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23836451768875122},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23469769954681396},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1522473692893982},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09214183688163757},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C95444343","wikidata":"https://www.wikidata.org/wiki/Q7141","display_name":"Cell biology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2017.2763821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2763821","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:29053465","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29053465","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:1710.00965","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1710.00965","pdf_url":"https://arxiv.org/pdf/1710.00965","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1710.00965","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1710.00965","pdf_url":"https://arxiv.org/pdf/1710.00965","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5548760859","display_name":null,"funder_award_id":"DMS-1721584","funder_id":"https://openalex.org/F4320332172","funder_display_name":"Directorate for Mathematical and Physical Sciences"},{"id":"https://openalex.org/G6325340832","display_name":null,"funder_award_id":"DMS-1265202","funder_id":"https://openalex.org/F4320337380","funder_display_name":"Division of Mathematical Sciences"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320332172","display_name":"Directorate for Mathematical and Physical Sciences","ror":"https://ror.org/029b7h395"},{"id":"https://openalex.org/F4320337380","display_name":"Division of Mathematical Sciences","ror":"https://ror.org/051fftw81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W568673721","https://openalex.org/W1491718027","https://openalex.org/W1823429634","https://openalex.org/W2000124962","https://openalex.org/W2009708167","https://openalex.org/W2022050193","https://openalex.org/W2022444941","https://openalex.org/W2030667313","https://openalex.org/W2040483003","https://openalex.org/W2059165814","https://openalex.org/W2096000002","https://openalex.org/W2096992152","https://openalex.org/W2098020399","https://openalex.org/W2103012681","https://openalex.org/W2108036428","https://openalex.org/W2108575846","https://openalex.org/W2117867057","https://openalex.org/W2119436275","https://openalex.org/W2124733101","https://openalex.org/W2125782175","https://openalex.org/W2150737519","https://openalex.org/W2157811729","https://openalex.org/W2163274129","https://openalex.org/W2338951332","https://openalex.org/W2508109141","https://openalex.org/W2560690681","https://openalex.org/W2570176224","https://openalex.org/W2962850018","https://openalex.org/W3101643265","https://openalex.org/W3172748503","https://openalex.org/W4233413206","https://openalex.org/W4245577611","https://openalex.org/W6677423002"],"related_works":["https://openalex.org/W2003702921","https://openalex.org/W2765094844","https://openalex.org/W2047131072","https://openalex.org/W2593354205","https://openalex.org/W1828555256","https://openalex.org/W3167115936","https://openalex.org/W2884852261","https://openalex.org/W1482441085","https://openalex.org/W2966858528","https://openalex.org/W2151687600"],"abstract_inverted_index":{"Colocalization":[0],"is":[1,74],"a":[2,69,81],"powerful":[3],"tool":[4],"to":[5,31,87],"study":[6],"the":[7,42,99,102],"interactions":[8],"between":[9],"fluorescently":[10],"labeled":[11],"molecules":[12],"in":[13,29,80],"biological":[14,95],"fluorescence":[15],"microscopy.":[16],"However,":[17],"existing":[18],"techniques":[19,46],"for":[20,47],"colocalization":[21,48,71],"analysis":[22],"have":[23],"not":[24],"undergone":[25],"continued":[26],"development":[27],"especially":[28],"regards":[30],"robust":[32],"statistical":[33,83],"support.":[34],"In":[35,65],"this":[36],"paper,":[37],"we":[38,67],"examine":[39],"two":[40],"of":[41,101],"most":[43],"popular":[44],"quantification":[45],"and":[49,62,78],"argue":[50],"that":[51,73],"they":[52],"could":[53],"be":[54],"improved":[55],"upon":[56],"using":[57],"ideas":[58],"from":[59],"nonparametric":[60],"statistics":[61],"scan":[63],"statistics.":[64],"particular,":[66],"propose":[68],"new":[70],"metric":[72],"robust,":[75],"easily":[76],"implementable,":[77],"optimal":[79],"rigorous":[82],"testing":[84],"framework.":[85],"Application":[86],"several":[88],"benchmark":[89],"data":[90],"sets,":[91],"as":[92,94],"well":[93],"examples,":[96],"further":[97],"demonstrates":[98],"usefulness":[100],"proposed":[103],"technique.":[104]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
