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Lett."],"published-print":{"date-parts":[[2026,3,15]]},"abstract":"<jats:p>Optical imaging processing is an attractive technology for extracting\n\t\t\t\t\tessential information from target objects without any digital\n\t\t\t\t\tcomputations. Although various nanophotonic devices have been studied\n\t\t\t\t\tfor versatile image processing, their transfer function typically\n\t\t\t\t\trelies on extensive optimizations, thus increasing computational costs\n\t\t\t\t\twhen faced with arbitrary wavelength requirements. Here, a\n\t\t\t\t\tmetal-silicon hybrid nanostack is demonstrated for\n\t\t\t\t\twavelength-tailorable optical image processing in the near-infrared\n\t\t\t\t\trange. By employing the cavity-induced wavelength\/angle-sensitive\n\t\t\t\t\tproperty, the nanostack with five-layered nanofilms directly\n\t\t\t\t\tmanipulates the transmittance of light in the wavevector domain, and\n\t\t\t\t\tperforms edge-enhanced imaging and bright-field imaging in different\n\t\t\t\t\twavelength channels. Moreover, due to the dual Fabry\u2013Perot\n\t\t\t\t\tcavity architecture, the operating wavelength of the nanostack can be\n\t\t\t\t\teffectively and continuously tuned from 850\u2009nm to\n\t\t\t\t\t1250\u2009nm by merely scaling the silicon layer thickness, beyond\n\t\t\t\t\tre-optimization strategies. The proposed nanostack with a simple\n\t\t\t\t\tarchitecture is easy to fabricate and integrate into compact optical\n\t\t\t\t\timaging systems and suggests practical applications in machine vision,\n\t\t\t\t\toptical computing, and intelligent image recognition.<\/jats:p>","DOI":"10.1364\/ol.591466","type":"journal-article","created":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T15:00:09Z","timestamp":1771340409000},"page":"1464","update-policy":"https:\/\/doi.org\/10.1364\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Wavelength-tailorable infrared image processing via a metal-silicon\n\t\t\t\thybrid nanostack"],"prefix":"10.1364","volume":"51","author":[{"given":"Tianyu","family":"Liu","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/05bhmhz54","id-type":"ROR","asserted-by":"publisher"}]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaofeng","family":"Dong","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/05bhmhz54","id-type":"ROR","asserted-by":"publisher"}]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chengwei","family":"Wan","sequence":"additional","affiliation":[{"name":"Hubei University of Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiao","family":"Tang","sequence":"additional","affiliation":[{"name":"Hunan Normal University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhe","family":"Li","sequence":"additional","affiliation":[{"name":"Hubei University of Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6050-5578","authenticated-orcid":true,"given":"Wen-Xing","family":"Yang","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/05bhmhz54","id-type":"ROR","asserted-by":"publisher"}]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6187-7699","authenticated-orcid":true,"given":"Chenjie","family":"Dai","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/05bhmhz54","id-type":"ROR","asserted-by":"publisher"}]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"285","published-online":{"date-parts":[[2026,3,5]]},"reference":[{"key":"ol-51-6-1464-R1","doi-asserted-by":"publisher","first-page":"7078","DOI":"10.1038\/s41467-023-42921-z","type":"journal-article","volume":"14","author":"Cotrufo","year":"2023","journal-title":"Nat.\n\t\t\t\t\tCommun."},{"key":"ol-51-6-1464-R2","doi-asserted-by":"publisher","first-page":"845","DOI":"10.1038\/s41467-024-45284-1","type":"journal-article","volume":"15","author":"Dai","year":"2024","journal-title":"Nat.\n\t\t\t\t\tCommun."},{"key":"ol-51-6-1464-R3","doi-asserted-by":"publisher","first-page":"eadm7458","DOI":"10.1126\/sciadv.adm7458","type":"journal-article","volume":"10","author":"Li","year":"2024","journal-title":"Sci. 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All rights,\n\t\t\t\t\tincluding for text and data mining (TDM), Artificial Intelligence (AI)\n\t\t\t\t\ttraining, and similar technologies, are\n\t\t\t\t\treserved.","name":"copyright","label":"Copyright"}]}}