High‐Speed Hyperspectral Imaging for Near Infrared Fluorescence and Environmental Monitoring

Hyperspectral imaging captures both spectral and spatial information from a sample but is intrinsically slow. The near infrared (NIR, > 800 nm) is advantageous for imaging applications because it falls into the tissue transparency window and also contains vibrational overtone and combination modes useful for molecular fingerprinting. Here, fast hyperspectral NIR imaging is demonstrated using a spectral phasor transformation (HyperNIR). A liquid crystal variable retarder (LCVR) is used for tunable, wavelength-dependent sine- and cosine-filtering that transforms optical signals into a 2D spectral (phasor) space. Spectral information is thus obtained with just three images. The LCVR can be adjusted to cover a spectral range from 900 to 1600 nm in windows tunable from 50 to 700 nm, which enables distinguishing NIR fluorophores with emission peaks less than 5 nm apart. Furthermore, label-free hyperspectral NIR reflectance imaging is demonstrated to identify plastic polymers and monitor in vivo plant health. The approach uses the full camera resolution and reaches hyperspectral frame rates of 0.2 s<sup>-1</sup>, limited only by the switching rate of the LCVR. HyperNIR facilitates straightforward hyperspectral imaging for applications in biomedicine and environmental monitoring.

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Publication Details

Journal
Advanced Science
Published
2025-03-04
DOI
https://doi.org/10.1002/advs.202415238
Citations
6
Primary Topic
Optical Coherence Tomography Applications
Type
article
Field-Weighted Citation Impact
4.04

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article

High‐Speed Hyperspectral Imaging for Near Infrared Fluorescence and Environmental Monitoring

Poul B. Petersen, Justus T. Metternich, Sebastian Kruss, Per Niklas Hedde et al.
6 citations
Advanced Science
Optical Coherence Tomography Applications
4.04
article

High‐Speed Hyperspectral Imaging for Near Infrared Fluorescence and Environmental Monitoring

Poul B. Petersen, Justus T. Metternich, Sebastian Kruss, Per Niklas Hedde, Benjamin S. Flavel, Jan Stegemann, Krisztian Neutsch, Luise Erpenbeck, Han Li, Franziska Gröniger
article en
6 citations

Abstract

Hyperspectral imaging captures both spectral and spatial information from a sample but is intrinsically slow. The near infrared (NIR, > 800 nm) is advantageous for imaging applications because it falls into the tissue transparency window and also contains vibrational overtone and combination modes useful for molecular fingerprinting. Here, fast hyperspectral NIR imaging is demonstrated using a spectral phasor transformation (HyperNIR). A liquid crystal variable retarder (LCVR) is used for tunable, wavelength-dependent sine- and cosine-filtering that transforms optical signals into a 2D spectral (phasor) space. Spectral information is thus obtained with just three images. The LCVR can be adjusted to cover a spectral range from 900 to 1600 nm in windows tunable from 50 to 700 nm, which enables distinguishing NIR fluorophores with emission peaks less than 5 nm apart. Furthermore, label-free hyperspectral NIR reflectance imaging is demonstrated to identify plastic polymers and monitor in vivo plant health. The approach uses the full camera resolution and reaches hyperspectral frame rates of 0.2 s<sup>-1</sup>, limited only by the switching rate of the LCVR. HyperNIR facilitates straightforward hyperspectral imaging for applications in biomedicine and environmental monitoring.

Advanced ScienceVol. 12(16)
Karlsruhe Institute of Technology (DE), University of Turku (FI), Turku Centre for Computer Science (FI), University of California, Irvine (US), Fraunhofer Institute for Microelectronic Circuits and Systems (DE), University Hospital Münster (DE), Beckman Laser Institute and Medical Clinic (US), Ruhr University Bochum (DE)
Deutsche Forschungsgemeinschaft, Volkswagen Foundation, Bundesministerium für Bildung und Forschung, Fraunhofer-Gesellschaft
Life in Land
Openalex Percentile: Top 7%
Optical Coherence Tomography Applications
4.04
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