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Hyperspectral near infrared imaging using a tunable spectral phasor

2024/07/31 by Jan Stegemann, Franziska Gröniger, Stegemann, Jan +17 · 1 citation
Biochemistry, Genetics and Molecular Biology · Engineering · Physics and Astronomy · #Applied Physics (physics.app-ph) #Artificial intelligence #Chemical imaging #Computer science #FOS: Physical sciences #Full spectral imaging #Geology #Hyperspectral imaging #Infrared #Materials science #Near-infrared spectroscopy #Optical and Acousto-Optic Technologies #Optics #Optics (physics.optics) #Phasor #Photonic and Optical Devices #Physics #Remote sensing #Spectral imaging #Spectroscopy Techniques in Biomedical and Chemical Research

paper · pdf · doi:10.48550/arxiv.2407.21684

openalex publication_date 2024/07/31 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

Abstract

Hyperspectral imaging captures both spectral and spatial information from a sample. The near infrared (NIR, > 800 nm) is advantageous for biomedical imaging as it falls into the tissue transparency window but also contains vibrational overtone and combination modes useful for molecular fingerprinting. Here, we demonstrate hyperspectral NIR imaging using a spectral phasor transformation (HyperNIR). This method employs a liquid crystal variable retarder (LCVR) for tunable, wavelength-dependent sine-, cosine and no filtering that transforms optical signals into phasor space. Spectral information is thus obtained with just three images. The LCVR can be adjusted to cover a spectral range from 900 nm to 1600 nm in windows tunable from 50 nm to 700 nm. This approach enables distinguishing NIR fluorophores with emission peaks less than 5 nm apart. Furthermore, we demonstrate label-free hyperspectral NIR reflectance imaging to identify plastic polymers and to monitor in vivo plant health. The approach uses the full camera resolution and reaches hyperspectral frame rates of 0.2 per second, limited only by the switching rate of the LCVR. HyperNIR facilitates straightforward hyperspectral imaging with standard NIR cameras for applications in biomedical imaging and environmental monitoring.

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