{"id":"https://openalex.org/W7204910050","doi":"https://doi.org/10.48550/arxiv.2608.30768","title":"CORAL: A Benchmark for Structure-aware and Brain-wide Neuron Reconstruction in Light Microscopy","display_name":"CORAL: A Benchmark for Structure-aware and Brain-wide Neuron Reconstruction in Light Microscopy","publication_year":2026,"publication_date":"2026-08-31","ids":{"openalex":"https://openalex.org/W7204910050","doi":"https://doi.org/10.48550/arxiv.2608.30768"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2608.30768","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.30768","pdf_url":"https://arxiv.org/pdf/2608.30768","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2608.30768","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048066205","display_name":"Zekang Yang","orcid":"https://orcid.org/0009-0001-2435-1724","observed_orcids":["https://orcid.org/0009-0001-2435-1724"]},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang, Zekang","raw_affiliation_strings":["Department of Computer Science and Technology ,","Tsinghua Laboratory of Brain and Intelligence (THBI) , IDG/McGovern Institute for Brain Research , Tsinghua University , Beijing 100084 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology ,","institution_ids":[]},{"raw_affiliation_string":"Tsinghua Laboratory of Brain and Intelligence (THBI) , IDG/McGovern Institute for Brain Research , Tsinghua University , Beijing 100084 , China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148928337","display_name":"Jiamin Li","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Jiamin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148906848","display_name":"Zhenghua Li","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li, Zhenghua","raw_affiliation_strings":["Department of Computer Science and Technology ,","Tsinghua Laboratory of Brain and Intelligence (THBI) , IDG/McGovern Institute for Brain Research , Tsinghua University , Beijing 100084 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology ,","institution_ids":[]},{"raw_affiliation_string":"Tsinghua Laboratory of Brain and Intelligence (THBI) , IDG/McGovern Institute for Brain Research , Tsinghua University , Beijing 100084 , China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148937733","display_name":"Jiaqi Fan","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan, Jiaqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006566424","display_name":"Zengcai V. Guo","orcid":"https://orcid.org/0000-0002-4140-7961","observed_orcids":["https://orcid.org/0000-0002-4140-7961"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Zengcai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5148938982","display_name":"Xiaolin Hu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Xiaolin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/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"}},"topics":[{"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/neuron-reconstruction","display_name":"neuron reconstruction","score":0.9269999861717224},{"id":"https://openalex.org/keywords/benchmark","display_name":"benchmark","score":0.5809999704360962},{"id":"https://openalex.org/keywords/light-microscopy","display_name":"optical microscopy","score":0.7020000219345093},{"id":"https://openalex.org/keywords/computational-neuroanatomy","display_name":"computational neuroanatomy","score":0.8759999871253967},{"id":"https://openalex.org/keywords/neuronal-tracing","display_name":"neural tracing","score":0.3050000071525574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6345000267028809},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.5662000179290771},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5541999936103821},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.5512999892234802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5285000205039978},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.51419997215271},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4683000147342682},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4528999924659729},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.4278999865055084},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.42739999294281006},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4230000078678131},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.3691999912261963},{"id":"https://openalex.org/C147080431","wikidata":"https://www.wikidata.org/wiki/Q1074953","display_name":"Microscopy","level":2,"score":0.3614000082015991},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35409998893737793},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C121483023","wikidata":"https://www.wikidata.org/wiki/Q7298343","display_name":"Ray tracing (physics)","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C2779097318","wikidata":"https://www.wikidata.org/wiki/Q2993446","display_name":"Connectomics","level":4,"score":0.29760000109672546},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.2913999855518341},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C2778794669","wikidata":"https://www.wikidata.org/wiki/Q43054","display_name":"Neuron","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.26820001006126404},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25929999351501465},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2608.30768","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.30768","pdf_url":"https://arxiv.org/pdf/2608.30768","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2608.30768","doi":"https://doi.org/10.48550/arxiv.2608.30768","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2608.30768","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2608.30768","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.30768","pdf_url":"https://arxiv.org/pdf/2608.30768","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204910050.pdf","grobid_xml":"https://content.openalex.org/works/W7204910050.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4404397166","https://openalex.org/W2921969230","https://openalex.org/W3173648838","https://openalex.org/W1587637157","https://openalex.org/W2920604022","https://openalex.org/W2766931013","https://openalex.org/W2903771707","https://openalex.org/W7165528968","https://openalex.org/W4400293680","https://openalex.org/W7212166737"],"abstract_inverted_index":{"Automatic":[0],"neuron":[1,56,100,128,138,170,197],"reconstruction":[2,33,57,88,101,129,145,171],"from":[3,58],"light":[4,59],"microscopy":[5,60],"images":[6,61],"is":[7,35],"a":[8,70,117,136],"central":[9],"problem":[10],"in":[11,177],"computational":[12],"neuroanatomy.":[13],"While":[14],"recent":[15],"methods":[16,89,146,167,194],"have":[17],"achieved":[18],"encouraging":[19],"results":[20,181],"on":[21,69,121],"local":[22,64,144,169],"image":[23],"blocks,":[24],"it":[25],"remains":[26],"unclear":[27],"whether":[28],"such":[29],"progress":[30],"translates":[31],"to":[32,41,147],"that":[34,141],"both":[36,63],"structurally":[37],"accurate":[38],"and":[39,65,94,172,188],"scalable":[40],"the":[42,48,103,131,148,161,183,189],"whole-brain":[43,66,72,104,149],"scale.":[44,105],"We":[45],"present":[46],"CORAL,":[47],"first":[49,162],"benchmark":[50],"for":[51,108,168,191,195],"structure-aware":[52,118,163,186],"evaluation":[53,187],"of":[54,165,185],"automatic":[55],"at":[62,102],"scales.":[67],"Built":[68],"high-quality":[71],"fMOST":[73],"dataset":[74],"with":[75],"carefully":[76],"curated":[77],"annotations,":[78],"CORAL":[79],"establishes":[80],"two":[81],"progressive":[82],"tasks:":[83],"block-level":[84],"reconstruction,":[85,96],"which":[86,97],"evaluates":[87],"under":[90],"limited":[91],"spatial":[92],"context,":[93],"brain-wide":[95,137,178],"assesses":[98],"complete":[99,127,196],"To":[106,124],"account":[107],"topological":[109],"correctness":[110],"beyond":[111],"geometric":[112],"distance":[113],"similarity,":[114],"we":[115,134,159],"introduce":[116],"metric":[119],"based":[120],"fiber":[122],"prediction.":[123],"further":[125,173],"achieve":[126],"across":[130],"entire":[132],"brain,":[133],"develop":[135],"tracing":[139],"framework":[140],"extends":[142],"arbitrary":[143],"scale":[150],"through":[151],"an":[152],"iterative":[153],"local-to-global":[154],"process.":[155],"Using":[156],"this":[157],"benchmark,":[158],"provide":[160],"comparison":[164],"mainstream":[166],"evaluate":[174],"their":[175],"performance":[176],"reconstruction.":[179,198],"Our":[180],"underscore":[182],"importance":[184],"need":[190],"more":[192],"robust":[193]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-09-02T00:00:00"}