{"id":"https://openalex.org/W1973531256","doi":"https://doi.org/10.1109/isbi.2013.6556620","title":"A statistical analysis of spatial colocalization using Ripley's K function","display_name":"A statistical analysis of spatial colocalization using Ripley's K function","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W1973531256","doi":"https://doi.org/10.1109/isbi.2013.6556620","mag":"1973531256"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2013.6556620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2013.6556620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 10th International Symposium on Biomedical Imaging","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/A5028273553","display_name":"Thibault Lagache","orcid":"https://orcid.org/0000-0002-7033-4677"},"institutions":[{"id":"https://openalex.org/I157536573","display_name":"Institut Pasteur","ror":"https://ror.org/0495fxg12","country_code":"FR","type":"nonprofit","lineage":["https://openalex.org/I157536573"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Thibault Lagache","raw_affiliation_strings":["Institut Pasteur, Quantitative Image Analysis Unit, Paris, France","Quantitative Image Anal. Unit, Inst. Pasteur, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Pasteur, Quantitative Image Analysis Unit, Paris, France","institution_ids":["https://openalex.org/I157536573"]},{"raw_affiliation_string":"Quantitative Image Anal. Unit, Inst. Pasteur, Paris, France","institution_ids":["https://openalex.org/I157536573"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112992372","display_name":"Vannary Meas\u2010Yedid","orcid":null},"institutions":[{"id":"https://openalex.org/I157536573","display_name":"Institut Pasteur","ror":"https://ror.org/0495fxg12","country_code":"FR","type":"nonprofit","lineage":["https://openalex.org/I157536573"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Vannary Meas-Yedid","raw_affiliation_strings":["Institut Pasteur, Quantitative Image Analysis Unit, Paris, France","Quantitative Image Anal. Unit, Inst. Pasteur, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Pasteur, Quantitative Image Analysis Unit, Paris, France","institution_ids":["https://openalex.org/I157536573"]},{"raw_affiliation_string":"Quantitative Image Anal. Unit, Inst. Pasteur, Paris, France","institution_ids":["https://openalex.org/I157536573"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003562216","display_name":"Jean\u2010Christophe Olivo\u2010Mar\u00edn","orcid":"https://orcid.org/0000-0001-6796-0696"},"institutions":[{"id":"https://openalex.org/I157536573","display_name":"Institut Pasteur","ror":"https://ror.org/0495fxg12","country_code":"FR","type":"nonprofit","lineage":["https://openalex.org/I157536573"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Christophe Olivo-Marin","raw_affiliation_strings":["Institut Pasteur, Quantitative Image Analysis Unit, Paris, France","Quantitative Image Anal. Unit, Inst. Pasteur, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Pasteur, Quantitative Image Analysis Unit, Paris, France","institution_ids":["https://openalex.org/I157536573"]},{"raw_affiliation_string":"Quantitative Image Anal. Unit, Inst. Pasteur, Paris, France","institution_ids":["https://openalex.org/I157536573"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157536573"],"apc_list":null,"apc_paid":null,"fwci":2.0969,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.88249661,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"896","last_page":"901"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9865999817848206,"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":0.9865999817848206,"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/T10885","display_name":"Gene expression and cancer classification","score":0.965399980545044,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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":0.9642000198364258,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/colocalization","display_name":"Colocalization","score":0.9885214567184448},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.7571063041687012},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.5353116989135742},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.5128002762794495},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49310728907585144},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.48163193464279175},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47876134514808655},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3766690492630005},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34502965211868286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2675091028213501},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2622128129005432},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2183300256729126},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20476368069648743},{"id":"https://openalex.org/keywords/cell-biology","display_name":"Cell biology","score":0.11194777488708496}],"concepts":[{"id":"https://openalex.org/C40209533","wikidata":"https://www.wikidata.org/wiki/Q5147828","display_name":"Colocalization","level":2,"score":0.9885214567184448},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.7571063041687012},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.5353116989135742},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5128002762794495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49310728907585144},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.48163193464279175},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47876134514808655},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3766690492630005},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34502965211868286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2675091028213501},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2622128129005432},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2183300256729126},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20476368069648743},{"id":"https://openalex.org/C95444343","wikidata":"https://www.wikidata.org/wiki/Q7141","display_name":"Cell biology","level":1,"score":0.11194777488708496}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2013.6556620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2013.6556620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 10th International Symposium on Biomedical Imaging","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W57852748","https://openalex.org/W1995583822","https://openalex.org/W2020658897","https://openalex.org/W2040010587","https://openalex.org/W2090840279","https://openalex.org/W2100726540","https://openalex.org/W2101659226","https://openalex.org/W2108036428","https://openalex.org/W2125782175","https://openalex.org/W2140352513","https://openalex.org/W2166541034","https://openalex.org/W2169714917","https://openalex.org/W2170295075","https://openalex.org/W4205757842"],"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/W4280573273","https://openalex.org/W2969957541","https://openalex.org/W2005266888"],"abstract_inverted_index":{"Proteins":[0],"colocalization":[1,19,35,111],"in":[2],"fluorescence":[3],"microscopy":[4],"is":[5,87,129],"a":[6,15,82],"key":[7],"quantitative":[8],"tool":[9],"to":[10,34,92],"decipher":[11],"cellular":[12],"processes":[13],"at":[14],"molecular":[16],"level.":[17],"Most":[18],"analysis":[20],"are":[21,43,63,68],"based":[22,59,98],"on":[23,60],"intensity":[24],"correlation":[25],"between":[26],"different":[27],"colour":[28],"channels,":[29],"which":[30],"can":[31],"either":[32],"lead":[33],"overestimates":[36],"when":[37,47],"proteins":[38,52,110],"point":[39],"spread":[40],"functions":[41],"(PSF)":[42],"large,":[44],"or":[45],"mis-colocalization":[46],"signals":[48],"of":[49,71,74,109],"spatially":[50],"close":[51],"do":[53],"not":[54],"strictly":[55],"overlap.":[56],"Similarly,":[57],"methods":[58],"Monte-Carlo":[61,120],"simulations":[62,121],"very":[64],"time":[65],"consuming":[66],"and":[67,90,112,122,132],"generally":[69],"out":[70],"the":[72],"reach":[73],"biological":[75],"labs.":[76],"In":[77],"this":[78],"paper,":[79],"we":[80,100],"present":[81],"new":[83],"object-based":[84],"method":[85,104,128],"that":[86,105,126],"both":[88,130],"fast":[89],"easy":[91],"implement.":[93],"Using":[94],"an":[95,102],"asymmetric":[96],"Ripley":[97],"statistic,":[99],"develop":[101],"analytical":[103],"permits":[106],"statistical":[107],"quantification":[108],"accounts":[113],"asymptotically":[114],"for":[115],"ROI":[116],"boundaries.":[117],"Tests":[118],"against":[119],"synthetic":[123],"data":[124],"show":[125],"our":[127],"sensitive":[131],"specific.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
