Metrics for spectral and spatial performance in terahertz spectroscopic imaging

In this work, we investigate the spectral and spatial performance of coupled terahertz microjets and apertures, with knowledge that the broadband material characterizations desired in spectroscopy are often at odds with the fine spatial resolutions sought in imaging. To explore this, we characterize lactose masked by apertures of varied widths across a targeted spectrum of 0.3-0.9 THz. We observe the spectra in terms of Kramers-Kronig error, with our spectral cutoff frequency as a metric of spectral performance, and modulation depth, with spatial resolution as a metric of imaging performance. Overall, we see the apertures act as high-pass frequency filters, with the spectral cutoff frequency as a dividing line between inaccurate spectra at low frequencies (due to prevailing random and systematic error) and accurate spectra at high frequencies (due to high transmission). For spectral performance, our aperture widths of 1000, 500, and 250 µm give spectral cutoff frequencies that are less than 0.3 THz, at 0.41 THz, and at 0.84 THz, respectively. For imaging performance, we see frequencies of 0.3, 0.6, and 0.9 THz give spatial resolutions of 1000, 250, and 250 µm, respectively. Ultimately, we conclude that spectroscopic and imaging performance must be considered together in realizing an effective system for terahertz spectroscopic imaging.

Authors

Institutions

Publication Details

Journal
Optics Express
Published
2025-06-16
DOI
https://doi.org/10.1364/oe.563027
Citations
1
Primary Topic
Terahertz technology and applications
Type
article
Field-Weighted Citation Impact
0.73

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Metrics for spectral and spatial performance in terahertz spectroscopic imaging

Jonathan F. Holzman, Jonathan F. Holzman
1 citations
Optics Express
Terahertz technology and applications
0.73
article

Metrics for spectral and spatial performance in terahertz spectroscopic imaging

Jonathan F. Holzman, Jonathan F. Holzman
article en
1 citations

Abstract

In this work, we investigate the spectral and spatial performance of coupled terahertz microjets and apertures, with knowledge that the broadband material characterizations desired in spectroscopy are often at odds with the fine spatial resolutions sought in imaging. To explore this, we characterize lactose masked by apertures of varied widths across a targeted spectrum of 0.3-0.9 THz. We observe the spectra in terms of Kramers-Kronig error, with our spectral cutoff frequency as a metric of spectral performance, and modulation depth, with spatial resolution as a metric of imaging performance. Overall, we see the apertures act as high-pass frequency filters, with the spectral cutoff frequency as a dividing line between inaccurate spectra at low frequencies (due to prevailing random and systematic error) and accurate spectra at high frequencies (due to high transmission). For spectral performance, our aperture widths of 1000, 500, and 250 µm give spectral cutoff frequencies that are less than 0.3 THz, at 0.41 THz, and at 0.84 THz, respectively. For imaging performance, we see frequencies of 0.3, 0.6, and 0.9 THz give spatial resolutions of 1000, 250, and 250 µm, respectively. Ultimately, we conclude that spectroscopic and imaging performance must be considered together in realizing an effective system for terahertz spectroscopic imaging.

Optics ExpressVol. 33(13)
University of British Columbia (CA)
Canada Foundation for Innovation, Natural Sciences and Engineering Research Council of Canada, Western Economic Diversification Canada
Openalex Percentile: Top 27%
Terahertz technology and applications
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.