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Biofluorescent response in lumpfish Cyclopterus lumpus to a therapeutic stressor as assessed by hyperspectral imaging
The demand for lumpfish ( Cyclopterus lumpus ) as a biological control for salmon lice is increasing. However, lumpfish welfare is considered a...
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Fifteenth century Florentine mural investigated in situ with VNIR Hyperspectral Imaging and NIR Photography supports interpretation as a bloodletting scene
This study provides new data which suggest a novel interpretative hypothesis not only on the specific painting, but on the use of bloodletting as...
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Histological Hyperspectral Glioblastoma Dataset (HistologyHSI-GB)
Hyperspectral (HS) imaging (HSI) technology combines the main features of two existing technologies: imaging and spectroscopy. This allows to analyse...
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ResNet incorporating the fusion data of RGB & hyperspectral images improves classification accuracy of vegetable soybean freshness
The freshness of vegetable soybean (VS) is an important indicator for quality evaluation. Currently, deep learning-based image recognition technology...
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Flexible hyperspectral surface plasmon resonance microscopy
Optical techniques for visualization and quantification of chemical and biological analytes are always highly desirable. Here we show a hyperspectral...
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A chemometric approach to assess the oil composition and content of microwave-treated mustard (Brassica juncea) seeds using Vis–NIR–SWIR hyperspectral imaging
The wide gap between the demand and supply of edible mustard oil can be overcome to a certain extent by enhancing the oil-recovery during mechanical...
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Systematic reduction of hyperspectral images for high-throughput plastic characterization
Hyperspectral Imaging (HSI) combines microscopy and spectroscopy to assess the spatial distribution of spectroscopically active compounds in objects,...
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Tumor cell identification and classification in esophageal adenocarcinoma specimens by hyperspectral imaging
Esophageal cancer is the sixth leading cause of cancer-related death worldwide. Histopathological confirmation is a key step in tumor diagnosis....
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Diffraction-limited hyperspectral mid-infrared single-pixel microscopy
In this contribution, we demonstrate a wide-field hyperspectral mid-infrared (MIR) microscope based on multidimensional single-pixel imaging (SPI)....
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Prediction of essential oil content in spearmint (Mentha spicata) via near-infrared hyperspectral imaging and chemometrics
Spearmint ( Mentha spicata L.) is grown for its essential oil (EO), which find use in food, beverage, fragrance and other industries. The current...
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Measuring changes in blood volume fraction during induced gingivitis of healthy and unhealthy populations using hyperspectral spatial frequency domain imaging: a clinical study
This investigation aimed to quantitatively measure the changes in inflammation of subjects with healthy and unhealthy gums during a period of induced...
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Spectral organ fingerprints for machine learning-based intraoperative tissue classification with hyperspectral imaging in a porcine model
Visual discrimination of tissue during surgery can be challenging since different tissues appear similar to the human eye. Hyperspectral imaging...
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Multisensor hyperspectral imaging approach for the microchemical analysis of ultramarine blue pigments
This work presents a multisensor hyperspectral approach for the characterization of ultramarine blue, a valuable historical pigment, at the...
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High-speed scanless entire bandwidth mid-infrared chemical imaging
Mid-infrared spectroscopy probes molecular vibrations to identify chemical species and functional groups. Therefore, mid-infrared hyperspectral...
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Quantifying multiple stain distributions in bioimaging by hyperspectral X-ray tomography
Chemical staining of biological specimens is commonly utilised to boost contrast in soft tissue structures, but unambiguous identification of...
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A dual-branch selective attention capsule network for classifying kiwifruit soft rot with hyperspectral images
Kiwifruit soft rot is highly contagious and causes serious economic loss. Therefore, early detection and elimination of soft rot are important for...
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Hygroscopic Mg–Al LDHs composite microspheres for highly efficient hyperspectral camouflage in the VIS and NIR wavebands
In order to enhance the hyperspectral camouflage efficacy of stealth coatings against a natural vegetative backdrop, LiCl, known for its significant...
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Shortwave infrared hyperspectral imaging as a novel method to elucidate multi-phase dolomitization, recrystallization, and cementation in carbonate sedimentary rocks
Carbonate rocks undergo low-temperature, post-depositional changes, including mineral precipitation, dissolution, or recrystallisation (diagenesis)....
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Space object identification and classification from hyperspectral material analysis
This paper presents a data processing pipeline designed to extract information from the hyperspectral signature of unknown space objects. The...
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Retinal hyperspectral imaging in the 5xFAD mouse model of Alzheimer’s disease
Hyperspectral imaging of the retina has recently been posited as a potentially useful form of spectroscopy of amyloid-beta (Aβ) protein in the eyes...
