Results 71 to 80 of about 6,533 (191)

UnMix-NeRF: Spectral Unmixing Meets Neural Radiance Fields

2025 IEEE/CVF International Conference on Computer Vision (ICCV)
Neural Radiance Field (NeRF)-based segmentation methods focus on object semantics and rely solely on RGB data, lacking intrinsic material properties. This limitation restricts accurate material perception, which is crucial for robotics, augmented reality, simulation, and other applications.
Fabian Perez, Sara Rojas 0001, Carlos Hinojosa, Hoover Rueda-Chacón, Bernard Ghanem   +4 more
openaire   +2 more sources

Multiband Image Fusion Based on Spectral Unmixing [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2016
This paper presents a multi-band image fusion algorithm based on unsupervised spectral unmixing for combining a high-spatial low-spectral resolution image and a low-spatial high-spectral resolution image. The widely used linear observation model (with additive Gaussian noise) is combined with the linear spectral mixture model to form the likelihoods of
Qi Wei 0002, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret, Marcus Chen, Simon J. Godsill   +5 more
openaire   +4 more sources

Multiplexed Immunofluorescent Characterization of T‐Cell and Myeloid Cell Populations Reveals Histologic Subtype Differences Within the Immunosuppressive Landscape of Human Basal Cell Carcinoma

Journal of Cutaneous Pathology, Volume 53, Issue 7, Page 624-632, July 2026.
ABSTRACT Background Basal cell carcinomas (BCCs) are thought to reside within an immunosuppressed tumor microenvironment, but a detailed characterization of BCC‐associated immune cells was lacking. Methods Utilizing multiplex immunohistochemistry (IHC) (Vectra Polaris, Akoya Biosciences), we designed two staining panels, targeting either T cells (CD3 ...
Alan S. Shen, Lauren E. Heusinkveld, Ajay Zalavadia, Andrelie Branicky, Sanjay Anand, Melissa Piliang, Edward V. Maytin   +6 more
wiley   +1 more source

Mapping Peatlands Combing Deep Learning With Sparse Spectral Unmixing Based on Zhuhai-1 Hyperspectral Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The mixed pixel problem, arising from the complex vegetation types of peatlands, poses a significant challenge for remote sensing-based peatland mapping.
Yulin Xu, Xiaodong Na
doaj   +1 more source

Comparison of Soil Mineralogy From EMIT Imaging Spectroscopy and Ground‐Based Measurements in the Deserts of Southern California

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 12, 28 June 2026.
Abstract The highly variable spatial composition of desert soils remains a major source of uncertainty in estimates of dust radiative forcing. Existing soil mineralogy data sets used in climate models are limited by sparse ground observations and coarse spatial resolution.
Xuan Liu, Paul Ginoux, Carlos Pérez García‐Pando, Adolfo González‐Romero, Xavier Querol, Philip G. Brodrick, Amato Evan   +6 more
wiley   +1 more source

Urban greenspace and dementia: Measures, mechanisms, and methodological guidance

Alzheimer's &Dementia, Volume 22, Issue 6, June 2026.
Abstract Urban greenspace has been associated with improved cognition and reduced Alzheimer's disease (AD) and AD‐related dementias (ADRD) risk, but findings remain mixed, study quality varies, and evidence is largely cross‐sectional. To advance the field, we offer guidance to select and apply greenspace exposure measures in AD/ADRD research.
Ingrid Jarvis, Lilah Besser, Jessica Finlay, Perry Hystad, Kevin J. Lane, Ruth F. Hunter, Peter James, Marcia Pescador Jiménez, Mark Nieuwenhuijsen, Matilda van den Bosch, David Van Riper, Jinkook Lee, Dany Doiron, Jeffrey Brook, Sara D. Adar, Michael Brauer   +15 more
wiley   +1 more source

Integration of Raman Spectroscopy and Metabolomics for Early Breast Cancer Detection and Classification

Cancer Medicine, Volume 15, Issue 6, June 2026.
ABSTRACT Breast cancer, now the fourth leading cause of cancer‐related mortality worldwide, necessitates early detection for improved clinical outcomes. Conventional histopathology, though widely used, is invasive and subjective, limiting its utility in early‐stage diagnosis.
Xue Li, He Ren, Yuhan Deng, Yang Li, Fangjie Hu   +4 more
wiley   +1 more source

Conceptual Differences Between Hyperspectral Unmixing, PCA, and Clustering: A Practical Demonstration Using Single‐Cell Raman Imaging

Journal of Chemometrics, Volume 40, Issue 6, June 2026.
ABSTRACT Hyperspectral unmixing is a well‐established approach for analyzing spectroscopic images by recovering chemically interpretable component spectra and their spatial distributions. Despite its distinct analytical objective, unmixing is frequently discussed alongside or directly compared with more familiar multivariate techniques such as ...
Rustam R. Guliev, Ute Neugebauer
wiley   +1 more source

Managing Autofluorescence in Spectral Flow Cytometry for Macrophage Identification in the Liver

European Journal of Immunology, Volume 56, Issue 6, June 2026.
Autofluorescence in liver tissue is heterogeneous and dynamically altered during metabolic liver disease, complicating spectral flow cytometry analysis. We provide a structured framework for identifying and handling condition‐dependent autofluorescence, demonstrating that inadequate autofluorescence correction biases macrophage quantification and ...
Sabine Daemen, Tuneille I. Adelaar, Panos Barlampas, Xiaodi Zhang, Casper G. Schalkwijk, Kristiaan Wouters   +5 more
wiley   +1 more source

A Dynamic Change of Microglial States Occurs During the Transition From Photoreceptor Degeneration to Regeneration in Zebrafish pde6c Mutants

Glia, Volume 74, Issue 6, June 2026.
Zebrafish pde6c mutants undergo photoreceptor degeneration from 5 dpf, but rods regenerate from 4 wpf. scRNA‐seq of retinal microglia reveals dynamic change of states between 5 dpf and 4 wpf. Two states emerge specifically during regeneration. ABSTRACT Microglia, brain‐resident immune cells, maintain brain homeostasis.
Darshini Ravishankar, Yuki Takeuchi, Ichiro Masai   +2 more
wiley   +1 more source