Results 141 to 150 of about 28,301 (266)
Robust estimation of key leaf traits from reflectance spectroscopy of herbarium specimens
Abstract Community‐wide efforts to digitize herbarium specimens have facilitated novel uses of specimen data across scales. However, the need for destructive sampling has prevented large‐scale examination of foliar functional traits. We demonstrate that nondestructive reflectance spectra are an effective tool for estimating leaf traits from herbarium ...
Aaron K. Lee +10 more
wiley +1 more source
Hyperspectral imaging and machine learning for rapid sensing and visualized retrieval of soil nutrients in high-latitude tea-growing regions. [PDF]
Liu X +7 more
europepmc +1 more source
Abstract Soils that contain swelling clay minerals (e.g., montmorillonite) expand and contract during wetting and drying, causing movement within the soil profile. This process, known as argilliturbation, can alter artefact distributions, destroy stratigraphy and complicate the interpretation of archaeological deposits.
Caroline Mather +11 more
wiley +1 more source
Spatially resolved quantification of wheat kernel vitreousness using hyperspectral imaging and spectral unmixing. [PDF]
Jeong SW +7 more
europepmc +1 more source
Adaptive Sampling for BRDF Acquisition
We propose a data‐driven adaptive sampling strategy that predicts the optimal sampling pattern and count for BRDF acquisition from a single image, reducing capture time while preserving quality. Abstract The bidirectional reflectance distribution function (BRDF) describes the ratio of incoming radiance to outgoing radiance for all possible pairs of ...
Behnaz Kavoosighafi +3 more
wiley +1 more source
HS-QFNet: Deep learning-enhanced hyperspectral fluorescence correction for accurate <i>in vivo</i> photosensitizer concentration quantification. [PDF]
Hao S +7 more
europepmc +1 more source
Multi‐Spectral Gaussian Splatting with Neural Color Representation
Abstract 3D Gaussian Splatting (3DGS) [KKLD23] has transformed novel‐view synthesis from RGB images, yet remains restricted to the visible spectrum. Many applications, including agricultural monitoring, rely on multi‐spectral imaging, where spectral camera alignment and scalability pose major challenges.
Lukas Meyer +5 more
wiley +1 more source
This meta‐analysis demonstrates high diagnostic accuracy of computer‐assisted methods in pancreatic EUS‐FNA cytology (AUC 0.92–0.96) and supports an integrated, cytopathologist‐led workflow in which artificial intelligence functions as an adjunct to diagnostic interpretation and on‐site evaluation (ROSE). Created in BioRender. Mohamed Mirzan, A. (2026)
Al‐Amaan Mohamed Mirzan, Roberto Dina
wiley +1 more source
AI Model for Textile Materials Identification Using Hyperspectral Data. [PDF]
Eghtedari F, Pecyna L, Evans R.
europepmc +1 more source
This preliminary study attempted to characterize solar lentigines and post‐inflammatory hyperpigmentation (PIH) observed on Japanese women. Colorimetric features and chromophore concentrations were measured using hyperspectral imaging for each hyperpigmentation type.
Victor Egana +4 more
wiley +1 more source

