{"id":"https://openalex.org/W6884726204","doi":"https://doi.org/10.11588/heidok.00034747","title":"New tools for functional and morphological data analysis and quality management in biological research","display_name":"New tools for functional and morphological data analysis and quality management in biological research","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W6884726204","doi":"https://doi.org/10.11588/heidok.00034747"},"language":"en","primary_location":{"id":"pmh:oai:archiv.ub.uni-heidelberg.de:34747","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":"article","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":null,"display_name":"Torelli, Angelo","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Torelli, Angelo","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41906024,"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":true,"primary_topic":{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.08320000022649765,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"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/T12417","display_name":"Morphological variations and asymmetry","score":0.08320000022649765,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.07850000262260437,"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/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.060100000351667404,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/biological-data","display_name":"Biological data","score":0.5446000099182129},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.5307000279426575},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.4970000088214874},{"id":"https://openalex.org/keywords/functional-data-analysis","display_name":"Functional data analysis","score":0.47290000319480896},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4449000060558319},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4438999891281128},{"id":"https://openalex.org/keywords/data-management","display_name":"Data management","score":0.3968000113964081},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.39160001277923584},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.3898000121116638}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7164999842643738},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6126999855041504},{"id":"https://openalex.org/C201797286","wikidata":"https://www.wikidata.org/wiki/Q4914986","display_name":"Biological data","level":2,"score":0.5446000099182129},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.5307000279426575},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.4970000088214874},{"id":"https://openalex.org/C51820054","wikidata":"https://www.wikidata.org/wiki/Q5508814","display_name":"Functional data analysis","level":2,"score":0.47290000319480896},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44749999046325684},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4449000060558319},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4438999891281128},{"id":"https://openalex.org/C1668388","wikidata":"https://www.wikidata.org/wiki/Q1149776","display_name":"Data management","level":2,"score":0.3968000113964081},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.39160001277923584},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3898000121116638},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34940001368522644},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.34860000014305115},{"id":"https://openalex.org/C55037315","wikidata":"https://www.wikidata.org/wiki/Q5421151","display_name":"Experimental data","level":2,"score":0.325300008058548},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.3068000078201294},{"id":"https://openalex.org/C91632574","wikidata":"https://www.wikidata.org/wiki/Q15088675","display_name":"Data curation","level":2,"score":0.29670000076293945},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.29120001196861267},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2858000099658966},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.2784000039100647},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C13926793","wikidata":"https://www.wikidata.org/wiki/Q3507155","display_name":"Group method of data handling","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:archiv.ub.uni-heidelberg.de:34747","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.00034747","is_oa":true,"landing_page_url":"https://doi.org/10.11588/heidok.00034747","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"}],"best_oa_location":{"id":"pmh:oai:archiv.ub.uni-heidelberg.de:34747","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/9","display_name":"Industry, innovation and infrastructure","score":0.406782329082489}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Data":[0,323],"analysis":[1,63,83,105,125,186,258,324],"plays":[2],"a":[3,52,388],"crucial":[4],"role":[5],"in":[6,143,337,395],"biological":[7,26,111,163,249,376],"research,":[8],"enabling":[9],"scientists":[10],"to":[11,79,88,120,181,240,288,339,371,387,391,402,408],"extract":[12,90],"meaningful":[13,414],"insights":[14,129,415],"from":[15,116,176,264,274,416],"complex":[16,121,417],"datasets.":[17,418],"Understanding":[18],"the":[19,41,81,117,131,138,144,150,155,210,229,241,245,248,286,292,297,314,319,341,358,366,373,380,396],"dynamic":[20],"behavior":[21],"and":[22,36,70,97,102,160,170,178,189,215,217,222,236,247,271,295,302,328,349,363,411],"structural":[23],"characteristics":[24,243],"of":[25,55,64,75,141,157,187,231,244,267,280,330,351,365,375,382,385],"systems":[27,377],"is":[28,67,78,94,310,321,370],"essential":[29],"for":[30,48,109,168,207,285,326,360],"uncovering":[31],"underlying":[32,132],"mechanisms,":[33],"identifying":[34],"biomarkers,":[35],"developing":[37,218],"new":[38],"treatments.":[39],"
\\nThroughout":[40],"collaborative":[42],"doctoral":[43],"program":[44],"titled":[45],"\u201dTissue":[46],"analytics":[47],"stem":[49],"cell-based":[50],"diagnostics\u201d,":[51],"significant":[53],"volume":[54],"data":[56,66,82,99,104,124,147,191,213,246,257,263,273,320,386],"was":[57],"generated":[58],"across":[59],"multiple":[60],"projects.":[61],"Manual":[62],"this":[65,76,254],"resource":[68],"intensive":[69],"error":[71],"prone.":[72],"
\\nThe":[73,185,368],"aim":[74,369],"thesis":[77,255],"automate":[80],"by":[84,312,378],"harnessing":[85],"computational":[86,223,237],"algorithms":[87],"efficiently":[89],"insights.":[91],"The":[92,308],"focus":[93],"on":[95,149,154],"functional":[96,188,262],"morphological":[98,103,173,190,272],"analysis.":[100],"Functional":[101,123],"techniques":[106,167],"are":[107,335],"vital":[108],"understanding":[110,374],"processes":[112],"at":[113,400],"different":[114],"scales,":[115],"molecular":[118],"level":[119],"organisms.":[122],"can":[126],"provide":[127],"valuable":[128],"into":[130],"mechanisms":[133],"governing":[134],"physiological":[135],"processes,":[136],"as":[137,355,357],"filtration":[139,269,282],"rate":[140,270,283],"glomeruli":[142],"kidneys.":[145],"Morphological":[146],"analysis,":[148],"other":[151],"hand,":[152],"focuses":[153],"study":[156],"shape,":[158],"structure,":[159],"form":[161],"within":[162,209],"systems.":[164],"It":[165],"involves":[166],"quantifying":[169],"characterizing":[171],"various":[172,193],"features,":[174],"ranging":[175],"cellular":[177],"tissue":[179],"structures":[180],"whole":[182],"organ":[183],"shapes.":[184],"poses":[192],"challenges.":[194],"These":[195],"include":[196],"dealing":[197],"with":[198,261,344],"high":[199],"dimensionality,":[200],"handling":[201],"noisy":[202],"or":[203,399],"missing":[204],"data,":[205,211],"accounting":[206],"dependencies":[208],"ensuring":[212],"quality":[214],"reliability,":[216],"appropriate":[219],"statistical":[220,234],"models":[221],"algorithms.":[224],"Overcoming":[225],"these":[226],"challenges":[227,259],"requires":[228],"development":[230],"innovative":[232],"methodologies,":[233],"frameworks,":[235],"tools":[238],"tailored":[239],"specific":[242],"questions":[250],"being":[251],"addressed.":[252],"
\\nSpecifically,":[253],"addresses":[256],"associated":[260],"transcutaneous":[265],"measurements":[266],"glomerular":[268,281],"colony":[275,331],"forming":[276,332],"units.":[277],"Transcutaneous":[278],"measurement":[279],"allows":[284],"animal":[287],"stay":[289],"conscious":[290],"during":[291],"non-intrusive":[293],"procedure":[294],"avoids":[296],"time":[298],"consuming":[299],"serial":[300],"blood":[301],"urine":[303],"sample":[304],"collection":[305],"previously":[306],"required.":[307],"experimenter":[309],"assisted":[311],"calculating":[313],"elimination":[315],"kinetics":[316],"curve":[317],"after":[318],"collected.":[322],"methods":[325],"counting":[327,343],"characterization":[329],"units":[333],"(CFUs)":[334],"developed":[336],"order":[338],"replace":[340],"manual":[342,409],"automatic":[345],"petri":[346],"dish":[347],"extraction":[348],"detection":[350],"each":[352],"individual":[353],"CFU":[354],"well":[356],"possibility":[359],"correction,":[361],"plotting":[362],"managing":[364],"results.":[367],"advance":[372],"automating":[379],"evaluation":[381,393,410],"large":[383],"amounts":[384],"greater":[389],"extent,":[390],"make":[392,403],"possible":[394],"first":[397],"place":[398],"least":[401],"it":[404],"more":[405],"reliable":[406],"compared":[407],"therefore":[412],"extracting":[413]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}