AI-enabled real-time dual-comb molecular fingerprint imaging

dc.contributor.authorVoumard, Thibault
dc.contributor.authorWildi, Thibault
dc.contributor.authorBrasch, Victor
dc.contributor.authorÁlvarez, Raúl Gutiérrez
dc.contributor.authorOgando, Germán Vergara
dc.contributor.authorHerr, Tobias
dc.description.abstractHyperspectral imaging provides spatially resolved spectral information. Utilizing dual-frequency combs as active illumination sources, hyperspectral imaging with ultra-high spectral resolution can be implemented in a scan-free manner when a detector array is used for heterodyne detection. Here, we show that dual-comb hyperspectral imaging can be performed with an uncooled near-to-mid-infrared detector by exploiting the detector array’s high frame rate, achieving 10 Hz acquisition in 30 spectral channels across 16,384 pixels. Artificial intelligence (AI) enables real-time data reduction and imaging of gas concentration based on characteristic molecular absorption signatures. Owing to the detector array’s sensitivity from 1 to 5 µm wavelength, this demonstration lays the foundation for real-time versatile imaging of molecular fingerprint signatures across the infrared wavelength regime with high temporal resolution.
dc.identifier.citationOptics Letters, vol. 45 (24), pp. 6583-6586
dc.titleAI-enabled real-time dual-comb molecular fingerprint imaging
dc.typeJournal Article
dc.type.csemresearchareasScientific Instrumentation