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VNIR–NIR hyperspectral imaging fusion targeting intraoperative brain cancer detection
Currently, intraoperative guidance tools used for brain tumor resection assistance during surgery have several limitations. Hyperspectral (HS)...
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Visible-NIR hyperspectral classification of grass based on multivariate smooth map** and extreme active learning approach
Grass community classification is the basis for the development of animal husbandry and dynamic monitoring of environment, which has become a...
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Multi-wavelength interference phase imaging for automatic breast cancer detection and delineation using diffuse reflection imaging
Millions of women globally are impacted by the major health problem of breast cancer (BC). Early detection of BC is critical for successful treatment...
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Enhanced hyperspectral tomography for bioimaging by spatiospectral reconstruction
Here we apply hyperspectral bright field imaging to collect computed tomographic images with excellent energy resolution (~ 1 keV), applying it for...
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Multi-scale guided feature extraction and classification algorithm for hyperspectral images
To solve the problem that the traditional hyperspectral image classification method cannot effectively distinguish the boundary of objects with a...
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Distinction of surgically resected gastrointestinal stromal tumor by near-infrared hyperspectral imaging
The diagnosis of gastrointestinal stromal tumor (GIST) using conventional endoscopy is difficult because submucosal tumor (SMT) lesions like GIST are...
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A new hyperspectral image classification method based on spatial-spectral features
In recent years, more and more deep learning frameworks are being applied to hyperspectral image classification tasks and have achieved great...
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Hyperspectral imaging for dynamic thin film interferometry
Dynamic thin film interferometry is a technique used to non-invasively characterize the thickness of thin liquid films that are evolving in both...
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Detection of REEs with lightweight UAV-based hyperspectral imaging
Rare earth elements (REEs) supply is important to ensure the energy transition, e-mobility and ultimately to achieve the sustainable development...
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Map** the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores
Ice-associated microalgae make a significant seasonal contribution to primary production and biogeochemical cycling in polar regions. However, the...
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Hyperspectral terahertz imaging with electro-optic dual combs and a FET-based detector
In this paper, a terahertz hyperspectral imaging architecture based on an electro-optic terahertz dual-comb source is presented and demonstrated. In...
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Asymmetric coordinate attention spectral-spatial feature fusion network for hyperspectral image classification
In recent years, the hyperspectral classification algorithm based on deep learning has received widespread attention, but the existing network models...
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Optimizing multi-spectral ore sorting incorporating wavelength selection utilizing neighborhood component analysis for effective arsenic mineral detection
Arsenic contamination not only complicates mineral processing but also poses environmental and health risks. To address these challenges, this...
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Hyperspectral image processing for the identification and quantification of lentiviral particles in fluid samples
Optical spectroscopic techniques have been commonly used to detect the presence of biofilm-forming pathogens (bacteria and fungi) in the agro-food...
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Vis/NIR hyperspectral imaging distinguishes sub-population, production environment, and physicochemical grain properties in rice
Rice grain quality is a multifaceted quantitative trait that impacts crop value and is influenced by multiple genetic and environmental factors....
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Hyperspectral data as a biodiversity screening tool can differentiate among diverse Neotropical fishes
Hyperspectral data encode information from electromagnetic radiation (i.e., color) of any object in the form of a spectral signature; these data can...
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Imaging cellular forces with photonic crystals
Current techniques for visualizing and quantifying cellular forces have limitations in live cell imaging, throughput, and multi-scale analysis, which...
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Surveying soil-borne disease development on wild rocket salad crop by proximal sensing based on high-resolution hyperspectral features
Wild rocket ( Diplotaxis tenuifolia , Brassicaceae) is a baby-leaf vegetable crop of high economic interest, used in ready-to-eat minimally processed...
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Optical imaging spectroscopy for rapid, primary screening of SARS-CoV-2: a proof of concept
Effective testing is essential to control the coronavirus disease 2019 (COVID-19) transmission. Here we report a-proof-of-concept study on...
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Map** barrier island soil moisture using a radiative transfer model of hyperspectral imagery from an unmanned aerial system
The advent of remote sensing from unmanned aerial systems (UAS) has opened the door to more affordable and effective methods of imaging and map**...
