AI-enabled real-time dual-comb molecular fingerprint imaging
| dc.contributor.author | Voumard, Thibault | |
| dc.contributor.author | Wildi, Thibault | |
| dc.contributor.author | Brasch, Victor | |
| dc.contributor.author | Álvarez, Raúl Gutiérrez | |
| dc.contributor.author | Ogando, Germán Vergara | |
| dc.contributor.author | Herr, Tobias | |
| dc.date.accessioned | 2022-02-14T17:08:20Z | |
| dc.date.available | 2022-02-14T17:08:20Z | |
| dc.date.issued | 2020-12-15 | |
| dc.description.abstract | Hyperspectral 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.citation | Optics Letters, vol. 45 (24), pp. 6583-6586 | |
| dc.identifier.doi | 10.1364/OL.410762 | |
| dc.identifier.issn | 1539-4794 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12839/992 | |
| dc.identifier.url | https://www.osapublishing.org/ol/abstract.cfm?uri=ol-45-24-6583 | |
| dc.title | AI-enabled real-time dual-comb molecular fingerprint imaging | |
| dc.type | Journal Article | |
| dc.type.csemdivisions | BU-I | |
| dc.type.csemresearchareas | Scientific Instrumentation | |
| dc.type.csemresearchareas | Photonics |