Terahertz Scanless Hypertemporal Imaging

• Published in: Laser & photonics reviews Vol. 17; no. 8
• Main Authors: Zanotto, Luca, Balistreri, Giacomo, Rovere, Andrea, Kwon, O‐Pil, Morandotti, Roberto, Piccoli, Riccardo, Razzari, Luca
• Format: Journal Article
• Language: English
• Published: Weinheim Wiley Subscription Services, Inc 01.08.2023
• Subjects: Complexity; compressed sensing; Delay lines; Image reconstruction; Raster scanning; Refractivity; scanless acquisition; terahertz multidimensional imaging; Time measurement; Wave diffraction; Waveforms
• ISSN: 1863-8880; 1863-8899
• DOI: 10.1002/lpor.202200936

Since its first demonstration in 1995, terahertz time‐domain imaging has attracted an increasingly growing interest for its ability to reveal spectral fingerprints of materials and probe changes in refractive index and absorption, as well as detect the inner structure of complex objects via time‐of‐flight measurements. Practically, however, its widespread use has been hampered by the very long acquisition time typically required to spatially raster‐scan the object, and for each spatial point, record the field in time via a delay line. Here, this fundamental bottleneck is addressed by implementing a scanless single‐pixel imaging scheme, which sets the path for an unprecedented reduction of both system complexity and acquisition time. By properly exploiting natural wave diffraction, time‐to‐space encoding applied to terahertz point detection allows for an almost instantaneous capture of the terahertz waveforms, while multidimensional images are reconstructed via a computational approach. The scheme is a promising solution for the development of next‐generation fast and compact terahertz imagers perfectly suitable for high‐repetition‐rate laser sources. A scanless terahertz time‐domain imaging scheme is implemented. By exploiting natural diffraction, time‐to‐space encoding applied to terahertz point detection allows for an almost instantaneous capture of the terahertz waveforms, while multidimensional images are reconstructed via a computational approach. This novel scheme sets the path for an unprecedented reduction of both system complexity and acquisition time in next‐generation terahertz hypertemporal imagers.