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The phonon modes within this system, controlled by light polarization, capture molecular refractive index intensity and lineshape features, distinct from those observed with plasmons, enabling more precise and sensitive molecule identification. In a deep learning\u2013assisted imaging demonstration of severe acute respiratory syndrome coronavirus (SARS-CoV), phonons exhibit enhanced identification capabilities (230,400 spectra\/s), facilitating the de-overlapping and observation of the spatial distribution of two mixed SARS-CoV spike proteins. In addition, the plasmon-phonon system demonstrates increased identification accuracy (93%), heightened sensitivity, and enhanced detection limits (down to molecule monolayers). These findings extend phonon polaritonics to hyperspectral imaging, promising applications in imaging-guided molecule screening and pharmaceutical analysis.<\/jats:p>","DOI":"10.1126\/sciadv.ado3179","type":"journal-article","created":{"date-parts":[[2024,5,29]],"date-time":"2024-05-29T13:58:57Z","timestamp":1716991137000},"update-policy":"https:\/\/doi.org\/10.34133\/aaas_crossmark","source":"Crossref","is-referenced-by-count":47,"title":["Surface plasmons-phonons for mid-infrared hyperspectral imaging"],"prefix":"10.1126","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3146-2238","authenticated-orcid":true,"given":"Hong","family":"Zhou","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore."},{"name":"Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117583, 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