Results 81 to 90 of about 6,533 (191)
Spectral weighted sparse unmixing based on adaptive total variation and low-rank constraints
Hyperspectral sparse unmixing, an image processing technique, leverages a spectral library enriched with endmember spectral information as a prerequisite.
Chenguang Xu
doaj +1 more source
Spectral variability significantly impacts the accuracy and convergence of hyperspectral unmixing algorithms. Many methods address complex spectral variability; yet large-scale distortions to the scale of the observed pixel signatures due to topography ...
Praveen Sumanasekara +6 more
doaj +1 more source
Hyperspectral Unmixing With Multi-Scale Convolution Attention Network
Hyperspectral unmixing is to decompose the mixed pixel into the spectral signatures (endmembers) with their corresponding abundances. However, the ignorance of endmember variability in hyperspectral unmixing results in low performance.
Sheng Hu, Huali Li
doaj +1 more source
Bioanalytical TERS and Advanced Data Processing Methods
Tip‐enhanced Raman spectroscopy delivers label‐free, subnanometer vibrational imaging of biological systems. Recent advances in instrumentation, data analysis, and ambient/liquid operation enable surface‐selective mapping of molecular heterogeneity in proteins, nucleic acids, membranes, and viruses, positioning TERS as a powerful platform for nanoscale
Sarika Joshi +6 more
wiley +1 more source
Abstract Cyanobacterial and other algal blooms are an environmental concern in waterbodies worldwide. While these blooms are a nuisance for recreational activities, they can also be harmful to human and wildlife health when the algae produce and release toxins.
Natalie C. Hall +7 more
wiley +1 more source
Mapping Immunity With Cutting‐Edge Spatial Biology and Tissue Cytometry Innovations
This review explores how spatial biology integrates multiplexed imaging and tissue cytometry to reveal immune organization within native tissue contexts. ABSTRACT The immune system operates within organized tissue landscapes, where spatial relationships between cells shape the nature and outcome of immune responses.
Lilibeth Cárdenas‐Piedra +5 more
wiley +1 more source
Abunmix enables the simple and robust multiplexed immunofluorescence imaging
Multiplexed fluorescence imaging is limited by bleed‐through signals arising from the use of antibodies derived from the same host species. Abunmix can separate signals from multiple antibodies generated from the same host species using a signal unmixing algorithm.
Woonggi La +14 more
wiley +1 more source
Mapping Quartz and Feldspar Areal Abundance and Grain Sizes Using Integrated VTIR Data
Abstract Mineral dust is sourced from arid regions around the globe, and its composition impacts regional and global environments by affecting radiation balance, cloud formation, nutrient deposition, and snowmelt. As such, mineral dust plays a key role in Earth's energy and biogeochemical budgets.
Kathleen Grant +5 more
wiley +1 more source
SSF-Net: A Spatial–Spectral Features Integrated Autoencoder Network for Hyperspectral Unmixing
In recent years, deep learning has received tremendous attention in the field of hyperspectral unmixing (HU) due to its powerful learning capabilities.
Bin Wang +4 more
doaj +1 more source
Abstract Understanding the mechanisms that drive the mobilization and fate of organic carbon (OC) in Arctic landscapes is important for modeling the feedbacks among permafrost thaw, carbon cycling, and climate change. While significant progress has been made toward measuring in situ OC decomposition in permafrost soils and bulk particulate organic ...
Marisa Repasch +6 more
wiley +1 more source

