Results 121 to 130 of about 105,347 (307)

The hybrid approach -- Convolutional Neural Networks and Expectation Maximization Algorithm -- for Tomographic Reconstruction of Hyperspectral Images [PDF]

, 2022
Mads J. Ahlebæk, Mads Svanborg Peters, Wei‐Chih Huang, Mads T. Frandsen, René Lynge Eriksen, Bjarke Jørgensen   +5 more
openalex   +1 more source

A Label‐Free Hyperspectral Imaging Device for Ex Vivo Characterization and Grading of Meningioma Tissues

Journal of Biophotonics, EarlyView.
HyperProbe1.1 enables rapid, label‐free biochemical mapping of freshly resected meningiomas. By quantifying endogenous biomarkers such as cytochrome c oxidase, hemoglobin derivatives, and lipids, the system reveals molecular signatures consistent with tumor grading and generates spatial maps that visualize metabolic and vascular heterogeneity across ...
Pietro Ricci, Camilla Bonaudo, Ivan Ezhov, Anam Toaha, Dorotea Nardini, Manuel Camelia, Federica Lucidi, Filippo Nozzoli, Tim Mach, Ilias Tachtsidis, Daniel Rueckert, Alessandro Della Puppa, Luca Giannoni, Francesco S. Pavone   +13 more
wiley   +1 more source

One-Class Risk Estimation for One-Class Hyperspectral Image Classification [PDF]

, 2022
Hengwei Zhao, Yanfei Zhong, Xin He, Xinyu Wang   +3 more
openalex   +1 more source

Deep Learning Integration in Optical Microscopy: Advancements and Applications

Microscopy Research and Technique, EarlyView.
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari, Sagnika Dutta, H. Deeksha, Samreen A. Patel, Budheswar Dehury, Nirmal Mazumder   +5 more
wiley   +1 more source

Subpixel Mapping of Hyperspectral Images Using a Labeled-Unlabeled Hybrid Endmember Library and Abundance Optimization

, 2020
Yifan Zhang, Ting Wang, Shaohui Mei, Qian Du   +3 more
openalex   +1 more source

BCARS Simulated Phantom Dataset for Evaluation of Processing Pipelines

Journal of Raman Spectroscopy, EarlyView.
A tissue phantom, containing fingerprint Raman spectra at each pixel, is developed to evaluate Raman signal processing pipelines. The phantom is created from a BCARS image of a murine hepatic tissue. ABSTRACT Broadband coherent anti‐Stokes Raman scattering (BCARS) microscopy is a powerful label‐free biological imaging technique, but the raw signal ...
Jessica Z. Dixon, Eric G. Baker, Charles H. Camp, Sidharth Laxminarayan, Abigail Bonde, Marcus T. Cicerone   +5 more
wiley   +1 more source

The contribution of vibrational spectroscopy and data analytics towards the achievement of the global sustainability goals

Journal of the Science of Food and Agriculture, EarlyView.
Abstract The United Nations Sustainable Development Goals (UN SDGs) were defined to improve the quality of life of the global population particularly regarding social and economic aspects, with a major focus on environmental sustainability. The incorporation of digital technologies into the agri‐food sector has become a key enabler in increasing the ...
Daniel Cozzolino, Louwrens C Hoffman
wiley   +1 more source

Desertification Risk: Bibliometric Analysis and Future Research Directions

Land Degradation &Development, EarlyView.
ABSTRACT Desertification, driven by climatic and anthropogenic factors, is one of the most pressing global environmental challenges, causing significant economic, ecological, and social consequences. A bibliometric analysis was performed to identify research trends and gaps in the desertification risk topic.
Fatima‐Ezzahrae Imam, Daniela Smiraglia, Antonio Pulina, Francesca Assennato, Elisabetta Raparelli, Giovanna Seddaiu   +5 more
wiley   +1 more source

Feature-Level Fusion Network for Hyperspectral Object Tracking via Mixed Multi-Head Self-Attention Learning

Remote Sensing
Hyperspectral object tracking has emerged as a promising task in visual object tracking. The rich spectral information within hyperspectral images benefits the accurate tracking in challenging scenarios.
Long Gao, Langkun Chen, Yan Jiang, Bobo Xi, Weiying Xie, Yunsong Li   +5 more
doaj   +1 more source

pamfit: A new R package for spatially resolved analysis of Imaging PAM photosynthesis–irradiance light curve parameters

Limnology and Oceanography: Methods, EarlyView.
Abstract Imaging Pulse Amplitude Modulation (PAM) fluorometry allows spatially resolved measurements of Photosystem II (PSII) fluorescence kinetics through time without disturbing study organisms or their environments. In particular, the use of photosynthesis–irradiance curves (P–I curves) provides detailed information on PSII quantum efficiency ...
B. Jesus, P. Cartaxana, C. Williamson
wiley   +1 more source