{"id":"https://openalex.org/W2890676876","doi":"https://doi.org/10.1109/aipr.2017.8457951","title":"A virtual filesystem approach to storage, analysis and delivery of volumetric image data for connectomics","display_name":"A virtual filesystem approach to storage, analysis and delivery of volumetric image data for connectomics","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2890676876","doi":"https://doi.org/10.1109/aipr.2017.8457951","mag":"2890676876"},"language":"en","primary_location":{"id":"doi:10.1109/aipr.2017.8457951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2017.8457951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","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/A5112529387","display_name":"Arthur W. Wetzel","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]},{"id":"https://openalex.org/I35765314","display_name":"Pittsburgh Supercomputing Center","ror":"https://ror.org/04tac1482","country_code":"US","type":"facility","lineage":["https://openalex.org/I35765314"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Arthur W. Wetzel","raw_affiliation_strings":["Pittsburgh Supercomputing Center, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA"],"affiliations":[{"raw_affiliation_string":"Pittsburgh Supercomputing Center, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I35765314","https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060799219","display_name":"Greg Hood","orcid":"https://orcid.org/0000-0001-9871-7154"},"institutions":[{"id":"https://openalex.org/I35765314","display_name":"Pittsburgh Supercomputing Center","ror":"https://ror.org/04tac1482","country_code":"US","type":"facility","lineage":["https://openalex.org/I35765314"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Greg Hood","raw_affiliation_strings":["Pittsburgh Supercomputing Center, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA"],"affiliations":[{"raw_affiliation_string":"Pittsburgh Supercomputing Center, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I35765314","https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091840898","display_name":"Alexander J. Ropelewski","orcid":"https://orcid.org/0000-0001-6874-4477"},"institutions":[{"id":"https://openalex.org/I35765314","display_name":"Pittsburgh Supercomputing Center","ror":"https://ror.org/04tac1482","country_code":"US","type":"facility","lineage":["https://openalex.org/I35765314"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander J. Ropelewski","raw_affiliation_strings":["Pittsburgh Supercomputing Center, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA"],"affiliations":[{"raw_affiliation_string":"Pittsburgh Supercomputing Center, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I35765314","https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112529387"],"corresponding_institution_ids":["https://openalex.org/I35765314","https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30019207,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9751999974250793,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8276845812797546},{"id":"https://openalex.org/keywords/terabyte","display_name":"Terabyte","score":0.8106212615966797},{"id":"https://openalex.org/keywords/connectomics","display_name":"Connectomics","score":0.7635693550109863},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5647828578948975},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5015649795532227},{"id":"https://openalex.org/keywords/file-system","display_name":"File system","score":0.4697706401348114},{"id":"https://openalex.org/keywords/computer-data-storage","display_name":"Computer data storage","score":0.45542943477630615},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.41706976294517517},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.34549853205680847},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.22934722900390625},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11086609959602356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8276845812797546},{"id":"https://openalex.org/C199683683","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Terabyte","level":2,"score":0.8106212615966797},{"id":"https://openalex.org/C2779097318","wikidata":"https://www.wikidata.org/wiki/Q2993446","display_name":"Connectomics","level":4,"score":0.7635693550109863},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5647828578948975},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5015649795532227},{"id":"https://openalex.org/C2780940931","wikidata":"https://www.wikidata.org/wiki/Q174989","display_name":"File system","level":2,"score":0.4697706401348114},{"id":"https://openalex.org/C194739806","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Computer data storage","level":2,"score":0.45542943477630615},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.41706976294517517},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.34549853205680847},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.22934722900390625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11086609959602356},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.0},{"id":"https://openalex.org/C45715564","wikidata":"https://www.wikidata.org/wiki/Q1292103","display_name":"Connectome","level":3,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aipr.2017.8457951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2017.8457951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.49000000953674316,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309652","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1973824709","https://openalex.org/W2022235653","https://openalex.org/W2307899896","https://openalex.org/W2309258625","https://openalex.org/W2584422807","https://openalex.org/W2612078078","https://openalex.org/W2729512695","https://openalex.org/W6698130672","https://openalex.org/W6732534804"],"related_works":["https://openalex.org/W2066858118","https://openalex.org/W2424680827","https://openalex.org/W1980882106","https://openalex.org/W2119101463","https://openalex.org/W2000261782","https://openalex.org/W2100085927","https://openalex.org/W2292917646","https://openalex.org/W2998787404","https://openalex.org/W1500533883","https://openalex.org/W2351285699"],"abstract_inverted_index":{"Biology":[0],"and":[1,10,31,40,48,92,95,104,126,142,153,196],"medicine":[2],"are":[3,17,34,56,85],"increasingly":[4],"driven":[5],"by":[6,102,119],"analyses":[7,101],"of":[8,37,67,81,124,144,175,280],"3D":[9],"time":[11],"series":[12],"imagery":[13],"for":[14,26,46,99,170,248],"studies":[15],"that":[16,217],"not":[18],"possible":[19],"with":[20,130],"2D":[21],"images.":[22],"Structural":[23],"data":[24,72,93,127,132,163,187,220,261,273,283],"required":[25],"building":[27],"spatially":[28],"realistic":[29],"cell":[30],"connectomics":[32],"models":[33],"particularly":[35,157],"demanding":[36],"both":[38],"resolution":[39],"spatial":[41],"extent.":[42],"Image":[43],"capture":[44],"methods":[45],"optical":[47],"electron":[49],"microscopy":[50],"at":[51,71],"gigapixel":[52],"per":[53,69,78],"second":[54],"rates":[55],"now":[57],"routine.":[58],"In":[59,135],"combination":[60],"these":[61,90,115],"factors":[62],"can":[63],"currently":[64],"produce":[65],"hundreds":[66],"terabytes":[68],"specimen":[70],"densities":[73],"up":[74],"to":[75,87,96,114,180,184,210,215],"1":[76],"PB":[77],"cubic":[79],"mm":[80],"tissue.":[82],"New":[83],"techniques":[84],"needed":[86],"economically":[88],"handle":[89],"speeds":[91],"scales":[94],"distribute":[97],"results":[98],"on-demand":[100,228],"researchers":[103],"students":[105],"nationwide.":[106],"A":[107],"virtual":[108,240,282],"volume":[109],"file":[110,212],"system":[111],"(VVFS)":[112],"approach":[113],"problems":[116],"is":[117,156,165,179,200],"suggested":[118],"trends":[120],"in":[121,139,150,159,189,206],"the":[122,140,167,203,225,239,268,281],"economics":[123],"computation":[125,145,161,183,265],"storage":[128,151,188],"along":[129],"typical":[131],"access":[133,238,269],"patterns.":[134],"recent":[136],"years":[137],"improvements":[138],"speed":[141],"cost":[143,152],"have":[146],"dramatically":[147],"outpaced":[148],"gains":[149],"performance.":[154],"This":[155,199,222],"true":[158],"GPGPU":[160],"where":[162],"bandwidth":[164],"often":[166],"limiting":[168],"factor":[169],"overall":[171],"throughput.":[172],"The":[173,242],"essence":[174],"this":[176],"VVFS":[177,243],"mechanism":[178,209],"apply":[181],"on-the-fly":[182],"replace":[185],"redundant":[186,260],"critical":[190],"operations":[191],"such":[192,231],"as":[193,229,232],"registration,":[194],"rendering":[195],"automated":[197],"recognition.":[198],"accomplished":[201],"using":[202],"Linux":[204],"Filesystem":[205],"UserSpace":[207],"(FUSE)":[208],"provide":[211],"compatible":[213],"interfaces":[214],"programs":[216],"operate":[218],"from":[219],"files.":[221,241],"interface":[223],"produces":[224],"appropriate":[226],"content":[227],"applications":[230,256,287],"TensorFlow":[233],"or":[234],"other":[235],"analysis":[236],"systems":[237],"provides":[244],"a":[245],"flexible":[246],"framework":[247],"connecting":[249],"multiple":[250],"program":[251],"units":[252],"into":[253,267],"large":[254],"scale":[255],"while":[257,275],"also":[258],"reducing":[259],"storage.":[262],"By":[263],"moving":[264],"directly":[266],"path":[270],"it":[271],"minimizes":[272],"traffic":[274],"processing":[276],"only":[277],"those":[278],"parts":[279],"which":[284],"end":[285],"user":[286],"consume.":[288]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}