Results 131 to 140 of about 153,077 (360)
Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang +4 more
wiley +1 more source
Hyperspectral colon tissue cell classification [PDF]
A novel algorithm to discriminate between normal and malignant tissue cells of the human colon is presented. The microscopic level images of human colon tissue cells were acquired using hyperspectral imaging technology at contiguous wavelength intervals ...
Rajpoot, Nasir M. (Nasir Mahmood) +2 more
core
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed +15 more
wiley +1 more source
Spatial Cell Death and Oxidative Stress Dynamics in Gas Plasma‐Treated Tumor Tissues
Schematic representation of the four experimental models to study tissue penetration and oxidation. Four tissue models were used. Human pancreatic cancer cells were grown on the chorioallantois membrane of chicken embryos and gas plasma‐treated in ovo, murine colorectal tumor tissue was gas plasma‐exposed ex vivo, murine squamous cell carcinoma cells ...
Anke Schmidt +4 more
wiley +1 more source
Spectral-Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network
Recent research has shown that using spectral–spatial information can considerably improve the performance of hyperspectral image (HSI) classification. HSI data is typically presented in the format of 3D cubes. Thus, 3D spatial filtering naturally offers
Ying Li, Haokui Zhang, Qiang Shen
semanticscholar +1 more source
Fusing low-resolution hyperspectral images (HSI) with high-resolution multispectral images (MSI) has become a promising technique for generating high-resolution HSI, effectively addressing the low spatial resolution limitations of hyperspectral data ...
Jia Jia +5 more
doaj +1 more source
EnMAP - The future hyperspectral Satellite Mission Product Generation
The basic components of the future German satellite mission EnMAP (Environmental Mapping and Analysis Program) are the project management led by the Space Agency of the German Aerospace Centre (DLR) located in Bonn-Oberkassel, the space segment ...
Neumann, Andreas +13 more
core
Guiding and Manipulating Light Fields in Microstructured Liquid Crystals
This review summarizes recent advances in guided‐wave optics enabled by microstructured liquid crystal (LC) devices, covering their fundamental material properties, key degree of freedom for dynamic light field manipulations. The advances of linear guided‐wave optics, nonlinear‐optics with spatial optical solitons, and microlasers in LC‐based devices ...
Shan‐shan Chang +2 more
wiley +1 more source
Multiscale NMF based on intra-pixel and inter-pixel structure adjustment for spectral unmixing
Various improved nonnegative matrix factorization (NMF) methods have been widely used in spectral unmixing (SU), including nonlinear versions to counter for the lower spatial resolution and interaction between materials.
Tingting Yang +3 more
doaj +1 more source
Resolving Mixed Algal Species in Hyperspectral Images
We investigated a lab-based hyperspectral imaging system’s response from pure (single) and mixed (two) algal cultures containing known algae types and volumetric combinations to characterize the system’s performance.
Mehrube Mehrubeoglu +2 more
doaj +1 more source

