{"id":"https://openalex.org/W7115560005","doi":"https://doi.org/10.48550/arxiv.2512.11763","title":"Reducing Domain Gap with Diffusion-Based Domain Adaptation for Cell Counting","display_name":"Reducing Domain Gap with Diffusion-Based Domain Adaptation for Cell Counting","publication_year":2025,"publication_date":"2025-12-12","ids":{"openalex":"https://openalex.org/W7115560005","doi":"https://doi.org/10.48550/arxiv.2512.11763"},"language":"en","primary_location":{"id":"pmh:oai:dr.lib.iastate.edu:20.500.12876/7vdXB58v","is_oa":false,"landing_page_url":"https://dr.lib.iastate.edu/handle/20.500.12876/7vdXB58v","pdf_url":null,"source":{"id":"https://openalex.org/S4377196104","display_name":"Iowa State University Digital Repository (Iowa State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I173911158","host_organization_name":"Iowa State University","host_organization_lineage":["https://openalex.org/I173911158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.48550/arXiv.2512.11763","raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2512.11763","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Dehghanmanshadi, Mohammad","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dehghanmanshadi, Mohammad","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Tavanapong, Wallapak","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tavanapong, Wallapak","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.5476999878883362,"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":0.5476999878883362,"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/T10862","display_name":"AI in cancer detection","score":0.18889999389648438,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.08510000258684158,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/synthetic-data","display_name":"Synthetic data","score":0.7235000133514404},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6596999764442444},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.489300012588501},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.46059998869895935},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4442000091075897},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.4203999936580658},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4041000008583069},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.3804999887943268}],"concepts":[{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.7235000133514404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7026000022888184},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6596999764442444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5443000197410583},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.489300012588501},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.46059998869895935},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4442000091075897},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.4203999936580658},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4041000008583069},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.3804999887943268},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3359000086784363},{"id":"https://openalex.org/C147080431","wikidata":"https://www.wikidata.org/wiki/Q1074953","display_name":"Microscopy","level":2,"score":0.3327000141143799},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3321000039577484},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.31700000166893005},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.3163999915122986},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.30630001425743103},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.303600013256073},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3034999966621399},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29420000314712524},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2662000060081482},{"id":"https://openalex.org/C81299745","wikidata":"https://www.wikidata.org/wiki/Q334269","display_name":"Transfer function","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C55037315","wikidata":"https://www.wikidata.org/wiki/Q5421151","display_name":"Experimental data","level":2,"score":0.2531999945640564}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:dr.lib.iastate.edu:20.500.12876/7vdXB58v","is_oa":false,"landing_page_url":"https://dr.lib.iastate.edu/handle/20.500.12876/7vdXB58v","pdf_url":null,"source":{"id":"https://openalex.org/S4377196104","display_name":"Iowa State University Digital Repository (Iowa State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I173911158","host_organization_name":"Iowa State University","host_organization_lineage":["https://openalex.org/I173911158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.48550/arXiv.2512.11763","raw_type":"Preprint"},{"id":"doi:10.48550/arxiv.2512.11763","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.11763","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":"doi:10.48550/arxiv.2512.11763","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.11763","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":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Generating":[0],"realistic":[1],"synthetic":[2,37,94,108,128,156,222],"microscopy":[3,68,91,225],"images":[4,38,92,140],"is":[5],"critical":[6],"for":[7,62,110,233],"training":[8],"deep":[9],"learning":[10],"models":[11,119,152,166,180],"in":[12,80,162],"label-scarce":[13],"environments,":[14],"such":[15,203],"as":[16,204],"cell":[17,112,235],"counting":[18,113,236],"with":[19,77,137,198,206],"many":[20],"cells":[21],"per":[22],"image.":[23],"However,":[24],"traditional":[25],"domain":[26,34,200,219],"adaptation":[27,201],"methods":[28],"often":[29],"struggle":[30],"to":[31,66,84,93,143,151,165,172],"bridge":[32],"the":[33,40,54,86,103,131,218],"gap":[35,220],"when":[36,194],"lack":[39],"complex":[41],"textures":[42],"and":[43,116,130,158,223,246],"visual":[44],"patterns":[45],"of":[46,105],"real":[47,89,125,183,224],"samples.":[48],"In":[49],"this":[50],"work,":[51],"we":[52],"adapt":[53],"Inversion-Based":[55],"Style":[56],"Transfer":[57],"(InST)":[58],"framework":[59],"originally":[60],"designed":[61],"artistic":[63],"style":[64,87,213],"transfer":[65,85,214],"biomedical":[67],"images.":[69],"Our":[70,227],"method":[71],"combines":[72],"latent-space":[73],"Adaptive":[74],"Instance":[75],"Normalization":[76],"stochastic":[78],"inversion":[79],"a":[81,159,230],"diffusion":[82],"model":[83],"from":[88],"fluorescence":[90],"ones,":[95],"while":[96,238],"weakly":[97],"preserving":[98],"content":[99],"structure.":[100],"We":[101],"evaluate":[102],"effectiveness":[104],"our":[106,138,176],"InST-based":[107,212],"dataset":[109],"downstream":[111],"by":[114],"pre-training":[115],"fine-tuning":[117],"EfficientNet-B0":[118],"on":[120,154,168,182],"various":[121],"data":[122,184,197],"sources,":[123],"including":[124],"data,":[126,129,157],"hard-coded":[127,155],"public":[132],"Cell200-s":[133,169],"dataset.":[134],"Models":[135],"trained":[136,153,167,181],"InST-synthesized":[139,196],"achieve":[141],"up":[142],"37\\%":[144],"lower":[145],"Mean":[146],"Absolute":[147],"Error":[148],"(MAE)":[149],"compared":[150,164],"52\\%":[160],"reduction":[161],"MAE":[163],"(from":[170],"53.70":[171],"25.95":[173],"MAE).":[174,189],"Notably,":[175],"approach":[177,228],"also":[178],"outperforms":[179],"alone":[185],"(25.95":[186],"vs.":[187],"27.74":[188],"Further":[190],"improvements":[191],"are":[192,248],"achieved":[193],"combining":[195],"lightweight":[199],"techniques":[202],"DACS":[205],"CutMix.":[207],"These":[208],"findings":[209],"demonstrate":[210],"that":[211],"most":[215],"effectively":[216],"reduces":[217],"between":[221],"data.":[226],"offers":[229],"scalable":[231],"path":[232],"enhancing":[234],"performance":[237],"minimizing":[239],"manual":[240],"labeling":[241],"effort.":[242],"The":[243],"source":[244],"code":[245],"resources":[247],"publicly":[249],"available":[250],"at:":[251],"https://github.com/MohammadDehghan/InST-Microscopy.":[252]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-12-16T00:00:00"}