Spectroscopy and hyperspectral imaging are widely used tools for identifying compounds and materials. One optical design is a polarization interferometer that uses birefringent wedges, like a Babinet-Soleil compensator, to create the interferograms that are Fourier transformed to give the spectra. Such designs have lateral spatial offset between the no and ne optical beams, which reduces the interferogram intensity and creates a spatially dependent phase that is problematic for hyperspectral imaging. The lateral separation between the beams is wavelength dependent, created by the achromatic nature of Babinet-Soleil compensators. We introduce a birefringent wedge design for Fourier transform spectroscopy that creates collinear no and ne optical beams for optimal interference and no spatial dependent phase. Our 3-wedge design, which we call a Wisconsin interferometer, improves the signal strength of polarization spectrometers, and eliminates phase shifts in hyperspectral imaging. We anticipate that it will find use in analytical, remote sensing, and ultrafast spectroscopy applications.
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http://dx.doi.org/10.1364/OE.538565 | DOI Listing |
Sci Rep
January 2025
Department of Electronic Engineering, Universidad Tecnica Federico Santa Maria, Valparaiso, Chile.
Assessing the health status of vegetation is of vital importance for all stakeholders. Multi-spectral and hyper-spectral imaging systems are tools for evaluating the health of vegetation in laboratory settings, and also hold the potential of assessing vegetation of large portions of land. However, the literature lacks benchmark datasets to test algorithms for predicting plant health status, with most researchers creating tailored datasets.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
January 2025
Institute of Analytical Chemistry and Radiochemistry, University of Innsbruck, Austria. Electronic address:
NIR 2023, or the 21st meeting of The International Council for Near Infrared Spectroscopy (ICNIRS), held in Innsbruck, Austria, in August 2023, was a significant event for the NIR spectroscopy community, bringing together 386 participants from 37 countries. This editorial introduces the Special Issue of Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, featuring nearly 30 articles that represent the topics from the conference. Like the NIR 2023 event itself, this collection highlights advancements in NIR spectroscopy, including fundamental research, instrumentation, and applications.
View Article and Find Full Text PDFCarbohydr Polym
March 2025
Plant Fiber Material Science Research Center, State Key Laboratory of Pulp and Paper Engineering, School of Light Industry and Engineering, South China University of Technology, Guangzhou 510640, China; Guangdong Provincial Key Laboratory of Plant Resources Biorefinery, No. 100, West Outer Ring Road, Guangzhou University Town, Panyu District, Guangzhou 510006, China.
Ancient documents and artworks are invaluable cultural heritage artworks that require careful preservation. Traditional methods for assessing their physical and chemical properties-such as tearing index, tensile index, water absorption, and pH-are often destructive, risking irreversible damage. This study introduces a novel, non-destructive approach using Short-Wave Near-Infrared (SWNIR) hyperspectral imaging (HSI) combined with advanced machine learning models.
View Article and Find Full Text PDFForensic Sci Int
January 2025
School of Criminal Justice, Faculty of Law, Criminal Justice and Public Administration, University of Lausanne, Switzerland.
The search for missing people is a complex and intensive undertaking. Predictive models (such as RAG mapping and geographic profiling) in combination with drone-mounted technologies can improve these searches by driving down time and monetary costs, gathering new types of data and reducing the need for investigators to expose themselves to dangerous environments. Promising technologies to discover traces of clandestine burials in the landscape are LiDAR, RGB photography, multispectral and hyperspectral imaging, as well as infrared/thermal photography.
View Article and Find Full Text PDFAnal Methods
January 2025
College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
The efficacy and safety of drugs are closely related to the geographical origin and quality of the raw materials. This study focuses on using near-infrared hyperspectral imaging (NIR-HSI) combined with machine learning algorithms to construct content prediction models and origin identification models to predict the components and origin of Radix Paeoniae Rubra (RPR). These models are quick, non-destructive, and accurate for assessing both component content and origin.
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