Literature DB >> 33325845

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

Thibault Voumard, Thibault Wildi, Victor Brasch, Raúl Gutiérrez Álvarez, Germán Vergara Ogando, Tobias Herr.   

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.

Year:  2020        PMID: 33325845     DOI: 10.1364/OL.410762

Source DB:  PubMed          Journal:  Opt Lett        ISSN: 0146-9592            Impact factor:   3.776


  2 in total

1.  The time-programmable frequency comb and its use in quantum-limited ranging.

Authors:  Emily D Caldwell; Laura C Sinclair; Nathan R Newbury; Jean-Daniel Deschenes
Journal:  Nature       Date:  2022-10-05       Impact factor: 69.504

2.  Rapid Quantitative Analysis of IR Absorption Spectra for Trace Gas Detection by Artificial Neural Networks Trained with Synthetic Data.

Authors:  Jens Goldschmidt; Leonard Nitzsche; Sebastian Wolf; Armin Lambrecht; Jürgen Wöllenstein
Journal:  Sensors (Basel)       Date:  2022-01-23       Impact factor: 3.576

  2 in total

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