{"id":"https://openalex.org/W4226231936","doi":"https://doi.org/10.2352/ei.2022.34.10.ipas-356","title":"Volumetric segmentation for integral microscopy with Fourier plane recording","display_name":"Volumetric segmentation for integral microscopy with Fourier plane recording","publication_year":2022,"publication_date":"2022-01-16","ids":{"openalex":"https://openalex.org/W4226231936","doi":"https://doi.org/10.2352/ei.2022.34.10.ipas-356"},"language":"en","primary_location":{"id":"doi:10.2352/ei.2022.34.10.ipas-356","is_oa":true,"landing_page_url":"https://doi.org/10.2352/ei.2022.34.10.ipas-356","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/34/10/IPAS-356","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/34/10/IPAS-356","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050985467","display_name":"Sergio Moreschini","orcid":"https://orcid.org/0000-0002-5582-9487"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Sergio Moreschini","raw_affiliation_strings":["Tampere University; Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tampere University; Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048845611","display_name":"Robert Bregovi\u0107","orcid":"https://orcid.org/0000-0002-3878-7588"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Robert Bregovic","raw_affiliation_strings":["Tampere University; Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tampere University; Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077942509","display_name":"Atanas Gotchev","orcid":"https://orcid.org/0000-0003-2320-1000"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Atanas Gotchev","raw_affiliation_strings":["Tampere University; Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tampere University; Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I166825849"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0362379,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":"10","first_page":"356","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10540","display_name":"Advanced Fluorescence Microscopy Techniques","score":0.994700014591217,"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":0.994700014591217,"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/T11897","display_name":"Digital Holography and Microscopy","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.662446141242981},{"id":"https://openalex.org/keywords/epipolar-geometry","display_name":"Epipolar geometry","score":0.6542484760284424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6191796660423279},{"id":"https://openalex.org/keywords/microscopy","display_name":"Microscopy","score":0.5846391916275024},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5653671622276306},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5617631077766418},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5235530734062195},{"id":"https://openalex.org/keywords/plane","display_name":"Plane (geometry)","score":0.5184559226036072},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.5064111948013306},{"id":"https://openalex.org/keywords/microscope","display_name":"Microscope","score":0.4928920269012451},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.4532642066478729},{"id":"https://openalex.org/keywords/cardinal-point","display_name":"Cardinal point","score":0.41413044929504395},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3844369947910309},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2352558970451355},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2127077281475067},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.14958849549293518},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12467247247695923}],"concepts":[{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.662446141242981},{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.6542484760284424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6191796660423279},{"id":"https://openalex.org/C147080431","wikidata":"https://www.wikidata.org/wiki/Q1074953","display_name":"Microscopy","level":2,"score":0.5846391916275024},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5653671622276306},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5617631077766418},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5235530734062195},{"id":"https://openalex.org/C17825722","wikidata":"https://www.wikidata.org/wiki/Q17285","display_name":"Plane (geometry)","level":2,"score":0.5184559226036072},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.5064111948013306},{"id":"https://openalex.org/C67649825","wikidata":"https://www.wikidata.org/wiki/Q196538","display_name":"Microscope","level":2,"score":0.4928920269012451},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.4532642066478729},{"id":"https://openalex.org/C138395690","wikidata":"https://www.wikidata.org/wiki/Q376733","display_name":"Cardinal point","level":2,"score":0.41413044929504395},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3844369947910309},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2352558970451355},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2127077281475067},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.14958849549293518},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12467247247695923},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/ei.2022.34.10.ipas-356","is_oa":true,"landing_page_url":"https://doi.org/10.2352/ei.2022.34.10.ipas-356","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/34/10/IPAS-356","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2352/ei.2022.34.10.ipas-356","is_oa":true,"landing_page_url":"https://doi.org/10.2352/ei.2022.34.10.ipas-356","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/34/10/IPAS-356","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4226231936.pdf","grobid_xml":"https://content.openalex.org/works/W4226231936.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1988809254","https://openalex.org/W1998710444","https://openalex.org/W2055397548","https://openalex.org/W2060167709","https://openalex.org/W2064586097","https://openalex.org/W2125097568","https://openalex.org/W2305716341","https://openalex.org/W2781310020","https://openalex.org/W2902486534","https://openalex.org/W2943330474","https://openalex.org/W2997521429","https://openalex.org/W3046588250","https://openalex.org/W3184729244","https://openalex.org/W4312056176","https://openalex.org/W6647401115","https://openalex.org/W6665317443"],"related_works":["https://openalex.org/W2737258383","https://openalex.org/W2101703235","https://openalex.org/W2048518944","https://openalex.org/W1984315854","https://openalex.org/W2094066981","https://openalex.org/W2022167947","https://openalex.org/W2053554051","https://openalex.org/W3110564048","https://openalex.org/W2052906622","https://openalex.org/W3123020537"],"abstract_inverted_index":{"Light":[0],"Field":[1],"(LF)":[2],"microscopy":[3],"has":[4],"emerged":[5],"as":[6],"a":[7,32,45,62,73,83],"fast-growing":[8],"field":[9],"of":[10,20,44,72,87,126,129],"interest":[11],"in":[12,65],"recent":[13],"years":[14],"due":[15],"to":[16,81,107],"its":[17],"undoubted":[18],"capacity":[19],"capturing":[21,70],"in-vivo":[22],"samples":[23],"from":[24,37,90],"multiple":[25],"perspectives.":[26],"In":[27,50],"this":[28],"work,":[29],"we":[30,53,60],"present":[31],"framework":[33],"for":[34],"Volume":[35],"Reconstruction":[36,122],"LF":[38],"images":[39,77],"created":[40],"following":[41],"the":[42,69,88,102,116,124,127,130],"setup":[43],"Fourier":[46],"Integral":[47],"Microscope":[48],"(FIMic).":[49],"our":[51],"approach":[52],"do":[54],"not":[55],"use":[56,61],"real":[57],"images,":[58],"instead,":[59],"dataset":[63],"generated":[64],"Blender":[66],"which":[67,91],"mimics":[68],"process":[71],"FIMic.":[74],"The":[75,99,120],"resulted":[76],"have":[78,96,104],"been":[79,97,105],"used":[80,106],"create":[82],"Focal":[84],"Stack":[85],"(FS)":[86],"LF,":[89],"Epipolar":[92],"Plane":[93],"Images":[94],"(EPIs)":[95],"extracted.":[98],"FS":[100],"and":[101],"EPIs":[103],"train":[108],"three":[109],"different":[110],"deep":[111],"neural":[112],"networks":[113],"based":[114],"on":[115],"classic":[117],"U-Net":[118],"architecture.":[119],"Volumetric":[121],"is":[123],"result":[125],"average":[128],"probabilities":[131],"produced":[132],"by":[133],"such":[134],"networks.":[135]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}