{"id":"https://openalex.org/W2507962402","doi":"https://doi.org/10.1109/icip.2016.7532947","title":"Learning-based approach to boost detection rate and localisation accuracy in single molecule localisation microscopy","display_name":"Learning-based approach to boost detection rate and localisation accuracy in single molecule localisation microscopy","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2507962402","doi":"https://doi.org/10.1109/icip.2016.7532947","mag":"2507962402"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5015725511","display_name":"Silvia Colabrese","orcid":null},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Silvia Colabrese","raw_affiliation_strings":["Istituto Italiano di Tecnologia (IIT), Genova, Italy"],"affiliations":[{"raw_affiliation_string":"Istituto Italiano di Tecnologia (IIT), Genova, Italy","institution_ids":["https://openalex.org/I30771326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070951465","display_name":"Marco Castello","orcid":"https://orcid.org/0000-0002-4472-6968"},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Castello","raw_affiliation_strings":["Istituto Italiano di Tecnologia (IIT), Genova, Italy"],"affiliations":[{"raw_affiliation_string":"Istituto Italiano di Tecnologia (IIT), Genova, Italy","institution_ids":["https://openalex.org/I30771326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040316453","display_name":"Giuseppe Vicidomini","orcid":"https://orcid.org/0000-0002-3085-730X"},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe Vicidomini","raw_affiliation_strings":["Istituto Italiano di Tecnologia (IIT), Genova, Italy"],"affiliations":[{"raw_affiliation_string":"Istituto Italiano di Tecnologia (IIT), Genova, Italy","institution_ids":["https://openalex.org/I30771326"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046971342","display_name":"Alessio Del Bue","orcid":"https://orcid.org/0000-0002-2262-4872"},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessio Del Bue","raw_affiliation_strings":["Istituto Italiano di Tecnologia (IIT), Genova, Italy"],"affiliations":[{"raw_affiliation_string":"Istituto Italiano di Tecnologia (IIT), Genova, Italy","institution_ids":["https://openalex.org/I30771326"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015725511"],"corresponding_institution_ids":["https://openalex.org/I30771326"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0371345,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"3184","last_page":"3188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10540","display_name":"Advanced Fluorescence Microscopy Techniques","score":0.9998999834060669,"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/T10540","display_name":"Advanced Fluorescence Microscopy Techniques","score":0.9998999834060669,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9972000122070312,"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/T10857","display_name":"Advanced Electron Microscopy Techniques and Applications","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1315","display_name":"Structural 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"}}],"keywords":[{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7280060052871704},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6957712173461914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6016456484794617},{"id":"https://openalex.org/keywords/microscopy","display_name":"Microscopy","score":0.5793397426605225},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5731824636459351},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4636484384536743},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44686242938041687},{"id":"https://openalex.org/keywords/stack","display_name":"Stack (abstract data type)","score":0.41403093934059143},{"id":"https://openalex.org/keywords/simplicity","display_name":"Simplicity","score":0.41084933280944824},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3557615876197815},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32885265350341797},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.17591378092765808},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.141690194606781}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7280060052871704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6957712173461914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6016456484794617},{"id":"https://openalex.org/C147080431","wikidata":"https://www.wikidata.org/wiki/Q1074953","display_name":"Microscopy","level":2,"score":0.5793397426605225},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5731824636459351},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4636484384536743},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44686242938041687},{"id":"https://openalex.org/C9395851","wikidata":"https://www.wikidata.org/wiki/Q177929","display_name":"Stack (abstract data type)","level":2,"score":0.41403093934059143},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.41084933280944824},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3557615876197815},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32885265350341797},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.17591378092765808},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.141690194606781},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7532947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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":18,"referenced_works":["https://openalex.org/W1967811326","https://openalex.org/W1969302126","https://openalex.org/W1977783786","https://openalex.org/W1992858116","https://openalex.org/W2020982888","https://openalex.org/W2041754533","https://openalex.org/W2054455698","https://openalex.org/W2073467673","https://openalex.org/W2076115100","https://openalex.org/W2118585731","https://openalex.org/W2120504118","https://openalex.org/W2125505095","https://openalex.org/W2134396482","https://openalex.org/W2139507280","https://openalex.org/W2169150909","https://openalex.org/W2174811772","https://openalex.org/W3101319012","https://openalex.org/W6677656871"],"related_works":["https://openalex.org/W2368019753","https://openalex.org/W2333930193","https://openalex.org/W2737356002","https://openalex.org/W2246241526","https://openalex.org/W2374150061","https://openalex.org/W4301122218","https://openalex.org/W2081340182","https://openalex.org/W2369703001","https://openalex.org/W2372323577","https://openalex.org/W2321432690"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,14,40,46,56,61],"novel":[4],"system":[5],"for":[6],"the":[7,32,71,74],"analysis":[8],"of":[9,22,26,42,49,73],"superresolution":[10],"microscopy":[11,29],"images":[12,44],"using":[13],"learning":[15],"based":[16],"approach":[17,66],"boosting":[18],"performance":[19],"and":[20],"simplicity":[21],"use.":[23],"Key":[24],"component":[25],"single-molecule-localisation":[27],"(SML)":[28],"techniques":[30],"is":[31],"ability":[33],"to":[34],"localise":[35],"single":[36],"emitting":[37],"molecules":[38],"in":[39],"stack":[41],"noisy":[43],"with":[45,60,70],"high":[47],"degree":[48],"accuracy.":[50],"To":[51],"this":[52],"end,":[53],"we":[54],"propose":[55],"SVM-based":[57],"detector":[58],"coupled":[59],"weighted":[62],"Least":[63],"Squares":[64],"fitting":[65],"that":[67],"favourably":[68],"compares":[69],"state":[72],"art":[75],"on":[76],"established":[77],"evaluation":[78],"protocols.":[79]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}