{"id":"https://openalex.org/W2621078752","doi":"https://doi.org/10.11588/heidok.00014498","title":"Automated Analysis of Biomedical Data from Low to High Resolution","display_name":"Automated Analysis of Biomedical Data from Low to High Resolution","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2621078752","doi":"https://doi.org/10.11588/heidok.00014498","mag":"2621078752"},"language":"en","primary_location":{"id":"pmh:oai:archiv.ub.uni-heidelberg.de:14498","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402333","display_name":"heiDOK (Heidelberg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I223822909","host_organization_name":"Heidelberg University","host_organization_lineage":["https://openalex.org/I223822909"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Dissertation"},"type":"dissertation","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038898203","display_name":"Anna Kreshuk","orcid":"https://orcid.org/0000-0003-1334-6388"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kreshuk, Anna","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5038898203"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27108402,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10519","display_name":"Advanced Proteomics Techniques and Applications","score":0.9596999883651733,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10519","display_name":"Advanced Proteomics Techniques and Applications","score":0.9596999883651733,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"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/computer-science","display_name":"Computer science","score":0.602302610874176},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5256662964820862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5139819979667664},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5039274096488953},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.47580915689468384},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45794007182121277},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4416828751564026},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42609164118766785}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.602302610874176},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5256662964820862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5139819979667664},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5039274096488953},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.47580915689468384},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45794007182121277},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4416828751564026},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42609164118766785}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:archiv.ub.uni-heidelberg.de:14498","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402333","display_name":"heiDOK (Heidelberg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I223822909","host_organization_name":"Heidelberg University","host_organization_lineage":["https://openalex.org/I223822909"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Dissertation"},{"id":"doi:10.11588/heidok.00014498","is_oa":true,"landing_page_url":"https://doi.org/10.11588/heidok.00014498","pdf_url":null,"source":{"id":"https://openalex.org/S7407051545","display_name":"University Library Heidelberg","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:2621078752","is_oa":false,"landing_page_url":"http://archiv.ub.uni-heidelberg.de/volltextserver/14498/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:archiv.ub.uni-heidelberg.de:14498","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402333","display_name":"heiDOK (Heidelberg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I223822909","host_organization_name":"Heidelberg University","host_organization_lineage":["https://openalex.org/I223822909"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Dissertation"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1968134962","https://openalex.org/W2171964619","https://openalex.org/W2481416449","https://openalex.org/W1976765040","https://openalex.org/W2940440548","https://openalex.org/W3086631601","https://openalex.org/W3103053050","https://openalex.org/W2167604934","https://openalex.org/W2120838423","https://openalex.org/W2285055147","https://openalex.org/W2016917092","https://openalex.org/W2151760272","https://openalex.org/W2256207883","https://openalex.org/W2123072397","https://openalex.org/W2753811918","https://openalex.org/W2806592424","https://openalex.org/W1794732265","https://openalex.org/W2747830288","https://openalex.org/W3177342479","https://openalex.org/W2004464262"],"abstract_inverted_index":{"Recent":[0],"developments":[1],"of":[2,14,40,50,95,103,111,145,170,187,201,207,250,260,273,300],"experimental":[3],"techniques":[4],"and":[5,35,89,159,165,199],"instrumentation":[6],"allow":[7],"life":[8],"scientists":[9],"to":[10,56,67,118,133,161,298],"acquire":[11],"enormous":[12],"volumes":[13],"data":[15,22,60,120,164,288],"at":[16],"unprecedented":[17],"resolution.":[18],"While":[19],"this":[20],"new":[21],"brings":[23],"much":[24],"deeper":[25],"insight":[26],"into":[27],"cellular":[28],"processes,":[29],"it":[30],"renders":[31],"manual":[32],"analysis":[33,43,61,94,121],"infeasible":[34],"calls":[36],"for":[37,91,137,196],"the":[38,104,168,221,241,257,261,271,277,293,301],"development":[39],"new,":[41],"automated":[42,197],"procedures.":[44],"This":[45],"thesis":[46],"describes":[47],"how":[48],"methods":[49],"pattern":[51],"recognition":[52],"can":[53],"be":[54],"used":[55],"automate":[57,134],"three":[58],"popular":[59],"protocols:&#13;\\nChapter":[62],"1":[63],"proposes":[64],"a":[65,109,131,185,194,280],"method":[66,82,105,195],"automatically":[68],"locate":[69],"bimodal":[70],"isotope":[71],"distribution":[72],"patterns":[73],"in":[74,189,203,229],"Hydrogen":[75],"Deuterium":[76],"Exchange":[77],"Mass":[78],"Spectrometry":[79],"experiments.":[80],"The":[81,101,174,265],"is":[83,106,122,177,223,267,296],"based":[84,141,155,224],"on":[85,108,142,156,179,225,256],"L1-regularized":[86],"linear":[87],"regression":[88],"allows":[90],"easy":[92],"quantitative":[93],"co-populations":[96],"with":[97,217,238,253,289],"different":[98,148],"exchange":[99],"behavior.":[100],"sensitivity":[102],"tested":[107],"set":[110,186,272],"manually":[112],"identified":[113],"peptides,":[114],"while":[115],"its":[116],"applicability":[117],"exploratory":[119],"validated":[123,178],"by":[124,183,213,246,269,276,284],"targeted":[125],"follow-up":[126],"peptide":[127,135],"identification.&#13;\\nChapter":[128],"2":[129],"develops":[130],"technique":[132],"quantification":[136,175],"mass":[138],"spectrometry":[139],"experiments,":[140],"16O/18O":[143],"labeling":[144],"peptides.":[146],"Two":[147],"spectrum":[149],"segmentation":[150,200],"algorithms":[151],"are":[152],"proposed:":[153],"one":[154,166],"image":[157],"processing":[158],"applicable":[160],"low":[162],"resolution":[163,172],"exploiting":[167],"sparsity":[169],"high":[171],"data.":[173],"accuracy":[176],"calibration":[180],"datasets,":[181],"produced":[182],"mixing":[184],"proteins":[188],"pre-defined":[190],"ratios.&#13;\\nChapter":[191],"3":[192],"provides":[193],"detection":[198,283],"synapses":[202,274],"electron":[204,215,235],"microscopy":[205,216,236],"images":[206,211,237],"neural":[208],"tissue.":[209],"For":[210,233,287],"acquired":[212],"scanning":[214],"nearly":[218,290],"isotropic":[219,291],"resolution,":[220,292],"algorithm":[222,242,278,294],"geometric":[226],"features":[227,254],"computed":[228,255],"3D":[230],"pixel":[231,251],"neighborhoods.":[232],"transmission":[234],"poor":[239],"z-resolution,":[240],"uses":[243],"additional":[244],"regularization":[245],"performing":[247],"several":[248],"rounds":[249],"classification":[252,263],"probability":[258],"maps":[259],"previous":[262],"round.":[264],"validation":[266],"performed":[268],"comparing":[270],"detected":[275],"against":[279],"gold":[281],"standard":[282],"human":[285,302],"experts.":[286],"performance":[295],"comparable":[297],"that":[299],"experts.&#13;\\n":[303]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}
