{"id":"https://openalex.org/W2951268833","doi":"https://doi.org/10.1109/ncc.2019.8732227","title":"A weighted optimization for Fourier Ptychographic Microscopy","display_name":"A weighted optimization for Fourier Ptychographic Microscopy","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2951268833","doi":"https://doi.org/10.1109/ncc.2019.8732227","mag":"2951268833"},"language":"en","primary_location":{"id":"doi:10.1109/ncc.2019.8732227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2019.8732227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 National Conference on Communications (NCC)","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/A5087871225","display_name":"Parimala Kancharla","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Parimala Kancharla","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090343004","display_name":"Sumohana S. Channappayya","orcid":"https://orcid.org/0000-0002-5687-0887"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sumohana S. Channappayya","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087871225"],"corresponding_institution_ids":["https://openalex.org/I65181880"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0973257,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"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/T10857","display_name":"Advanced Electron Microscopy Techniques and Applications","score":0.9725000262260437,"subfield":{"id":"https://openalex.org/subfields/1315","display_name":"Structural Biology"},"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":0.9505000114440918,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ptychography","display_name":"Ptychography","score":0.7321622967720032},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.6219109892845154},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.607803463935852},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5899819135665894},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5752128958702087},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5156856775283813},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5019605159759521},{"id":"https://openalex.org/keywords/phase-retrieval","display_name":"Phase retrieval","score":0.48213741183280945},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4593323767185211},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.45574310421943665},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4386962056159973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3995981514453888},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.30200961232185364},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2732461094856262},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1382303237915039},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06580480933189392}],"concepts":[{"id":"https://openalex.org/C78153596","wikidata":"https://www.wikidata.org/wiki/Q7257147","display_name":"Ptychography","level":3,"score":0.7321622967720032},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.6219109892845154},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.607803463935852},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5899819135665894},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5752128958702087},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5156856775283813},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5019605159759521},{"id":"https://openalex.org/C81793267","wikidata":"https://www.wikidata.org/wiki/Q7180962","display_name":"Phase retrieval","level":3,"score":0.48213741183280945},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4593323767185211},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.45574310421943665},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4386962056159973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3995981514453888},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.30200961232185364},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2732461094856262},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1382303237915039},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06580480933189392},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C207114421","wikidata":"https://www.wikidata.org/wiki/Q133900","display_name":"Diffraction","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ncc.2019.8732227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2019.8732227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 National Conference on Communications (NCC)","raw_type":"proceedings-article"},{"id":"pmh:oai:raiith.iith.ac.in:5651","is_oa":false,"landing_page_url":"http://raiith.iith.ac.in/5651/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400292","display_name":"Research Archive of Indian Institute of Technology Hyderabad (Indian Institute of Technology Hyderabad)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I65181880","host_organization_name":"Indian Institute of Technology Hyderabad","host_organization_lineage":["https://openalex.org/I65181880"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1484412996","https://openalex.org/W1519878159","https://openalex.org/W1896326723","https://openalex.org/W1986579450","https://openalex.org/W2047602908","https://openalex.org/W2081094761","https://openalex.org/W2233912973","https://openalex.org/W2276806140","https://openalex.org/W3103875018","https://openalex.org/W6628955290"],"related_works":["https://openalex.org/W2107277679","https://openalex.org/W3007912468","https://openalex.org/W3129129288","https://openalex.org/W2976010825","https://openalex.org/W4289638512","https://openalex.org/W4285240012","https://openalex.org/W2604617411","https://openalex.org/W4225764830","https://openalex.org/W2964101692","https://openalex.org/W4224918896"],"abstract_inverted_index":{"Fourier":[0],"ptychography":[1],"can":[2],"be":[3],"implemented":[4],"as":[5],"a":[6,41,114],"phase":[7],"retrieval":[8],"optimization":[9,43,110],"algorithm":[10,44,111],"that":[11,63,107],"iteratively":[12],"solves":[13],"for":[14],"high":[15],"resolution":[16,20,28,70,132],"spectrum":[17],"from":[18,134],"low":[19,27,69,131],"images.":[21],"In":[22,36],"prior":[23],"art,":[24],"all":[25],"the":[26,34,47,52,61,85,88,100,108,122],"images":[29,71,133],"were":[30],"considered":[31],"equally":[32],"in":[33,84],"optimization.":[35,86,124],"this":[37],"paper,":[38],"we":[39,78],"propose":[40],"weighted":[42,109],"to":[45,113,121],"enhance":[46],"quality":[48,101],"of":[49,102],"reconstruction":[50],"with":[51],"same":[53],"convergence":[54],"speed.":[55],"Our":[56],"method":[57,90],"is":[58,91],"motivated":[59],"by":[60],"observation":[62],"bright":[64],"field":[65,68],"and":[66,94],"dark":[67],"have":[72],"significantly":[73],"different":[74],"pixel":[75],"intensities.":[76],"Therefore,":[77],"weight":[79],"their":[80],"estimated":[81],"error":[82,118],"differently":[83],"Though":[87],"proposed":[89],"both":[92],"conceptually":[93],"computationally":[95],"simple,":[96],"it":[97],"dramatically":[98],"improves":[99],"reconstruction.":[103],"We":[104,125],"also":[105],"show":[106],"converges":[112],"lower":[115],"mean":[116],"squared":[117],"value":[119],"compared":[120],"conventional":[123],"validate":[126],"our":[127],"approach":[128],"on":[129],"several":[130],"an":[135],"experimental":[136],"dataset.":[137]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}