{"id":"https://openalex.org/W4310978622","doi":"https://doi.org/10.48550/arxiv.2206.13419","title":"DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-sheet Microscopy","display_name":"DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-sheet Microscopy","publication_year":2022,"publication_date":"2022-06-27","ids":{"openalex":"https://openalex.org/W4310978622","doi":"https://doi.org/10.48550/arxiv.2206.13419"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2206.13419","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2206.13419","pdf_url":"https://arxiv.org/pdf/2206.13419","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2206.13419","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010502185","display_name":"Yu Liu","orcid":"https://orcid.org/0000-0002-0779-1488"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Liu, Yu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049749211","display_name":"Kurt R. Weiss","orcid":"https://orcid.org/0000-0003-3859-728X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiss, Kurt","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046896448","display_name":"Nassir Navab","orcid":"https://orcid.org/0000-0002-6032-5611"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Navab, Nassir","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046721596","display_name":"Carsten Marr","orcid":"https://orcid.org/0000-0003-2154-4552"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marr, Carsten","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005769811","display_name":"Jan Huisken","orcid":"https://orcid.org/0000-0001-7250-3756"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huisken, Jan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5070636207","display_name":"Tingying Peng","orcid":"https://orcid.org/0000-0002-7881-1749"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng, Tingying","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5010502185"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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/T10540","display_name":"Advanced Fluorescence Microscopy Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9976000189781189,"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/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9962000250816345,"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/hessian-matrix","display_name":"Hessian matrix","score":0.6644405722618103},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6005523800849915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.599068284034729},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48055699467658997},{"id":"https://openalex.org/keywords/holography","display_name":"Holography","score":0.47589075565338135},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4699822962284088},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.46732890605926514},{"id":"https://openalex.org/keywords/microscopy","display_name":"Microscopy","score":0.46313953399658203},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.4204123020172119},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.34526026248931885},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.24500471353530884},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22989702224731445}],"concepts":[{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.6644405722618103},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6005523800849915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.599068284034729},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48055699467658997},{"id":"https://openalex.org/C187590223","wikidata":"https://www.wikidata.org/wiki/Q527628","display_name":"Holography","level":2,"score":0.47589075565338135},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4699822962284088},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.46732890605926514},{"id":"https://openalex.org/C147080431","wikidata":"https://www.wikidata.org/wiki/Q1074953","display_name":"Microscopy","level":2,"score":0.46313953399658203},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.4204123020172119},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.34526026248931885},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.24500471353530884},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22989702224731445},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2206.13419","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2206.13419","pdf_url":"https://arxiv.org/pdf/2206.13419","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2206.13419","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2206.13419","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2206.13419","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2206.13419","pdf_url":"https://arxiv.org/pdf/2206.13419","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2073609419","https://openalex.org/W2080887039","https://openalex.org/W2059536808","https://openalex.org/W2061067005","https://openalex.org/W4244807703","https://openalex.org/W2042425863","https://openalex.org/W1663308975","https://openalex.org/W2954696068","https://openalex.org/W2143203721","https://openalex.org/W2896001365"],"abstract_inverted_index":{"Light-sheet":[0],"fluorescence":[1,40],"microscopy":[2],"(LSFM)":[3],"is":[4,46,184],"a":[5,31,75,87,147,154,178,187],"cutting-edge":[6],"volumetric":[7],"imaging":[8,14],"technique":[9],"that":[10,37],"allows":[11],"for":[12,151],"three-dimensional":[13],"of":[15,29,103,208],"mesoscopic":[16],"samples":[17],"with":[18,93,153,177,186,216],"decoupled":[19],"illumination":[20,58],"and":[21,42,51,59,134,219],"detection":[22],"paths.":[23],"Although":[24],"the":[25,63,100,114,120,127,163,206],"selective":[26],"excitation":[27],"scheme":[28],"such":[30],"microscope":[32],"provides":[33],"intrinsic":[34],"optical":[35],"sectioning":[36],"minimizes":[38],"out-of-focus":[39],"background":[41],"sample":[43],"photodamage,":[44],"it":[45],"prone":[47],"to":[48,158,197],"light":[49],"absorption":[50],"scattering":[52],"effects,":[53],"which":[54,85],"results":[55,204],"in":[56,62,70,81,106,113,162,171,210,214],"uneven":[57],"striping":[60,108],"artifacts":[61,133],"images":[64],"adversely.":[65],"To":[66],"tackle":[67],"this":[68,71],"issue,":[69],"paper,":[72],"we":[73],"propose":[74],"blind":[76],"stripe":[77,132,221],"artifact":[78,193],"removal":[79],"algorithm":[80],"LSFM,":[82],"called":[83],"DeStripe,":[84],"combines":[86],"self-supervised":[88],"spatio-spectral":[89],"graph":[90,148],"neural":[91,149],"network":[92,150],"unfolded":[94],"Hessian":[95,155],"prior.":[96],"Specifically,":[97],"inspired":[98],"by":[99,125],"desirable":[101],"properties":[102],"Fourier":[104,123,140],"transform":[105],"condensing":[107],"information":[109],"into":[110,146],"isolated":[111],"values":[112],"frequency":[115],"domain,":[116],"DeStripe":[117,183,209],"firstly":[118],"localizes":[119],"potentially":[121],"corrupted":[122,212],"coefficients":[124,141],"exploiting":[126],"structural":[128],"difference":[129],"between":[130],"unidirectional":[131],"more":[135],"isotropic":[136],"foreground":[137],"images.":[138,201],"Affected":[139],"can":[142],"then":[143],"be":[144],"fed":[145],"recovery,":[152],"regularization":[156],"unrolled":[157],"further":[159],"ensure":[160],"structures":[161],"standard":[164,179],"image":[165,180],"space":[166],"are":[167],"well":[168],"preserved.":[169],"Since":[170],"realistic,":[172],"stripe-free":[173,198],"LSFM":[174,215],"barely":[175],"exists":[176],"acquisition":[181],"protocol,":[182],"equipped":[185],"Self2Self":[188],"denoising":[189],"loss":[190],"term,":[191],"enabling":[192],"elimination":[194],"without":[195],"access":[196],"ground":[199],"truth":[200],"Competitive":[202],"experimental":[203],"demonstrate":[205],"efficacy":[207],"recovering":[211],"biomarkers":[213],"both":[217],"synthetic":[218],"real":[220],"artifacts.":[222]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}
