Results 191 to 200 of about 16,742 (260)

Broadening the Workflow for Synchrotron‐Based X‐Ray Fluorescence and X‐Ray Absorption Spectroscopy Imaging of Low‐Abundance Cellular Metals

open access: yesChemistry–Methods, Volume 6, Issue 3, March 2026.
We present an accessible plunge‐freezing and freeze‐drying workflow for preparing adherent mammalian cells for synchrotron‐based nanofocused X‐ray fluorescence (XRF) microscopy and X‐ray absorption spectroscopy (XAS), enabling sub‐micron mapping of metal distribution and chemical speciation.
Joaquin Tamargo‐Azpilicueta   +8 more
wiley   +1 more source

Semantic hyperspectral image synthesis for cross-modality knowledge transfer in surgical data science. [PDF]

open access: yesInt J Comput Assist Radiol Surg
Tran Ba V   +11 more
europepmc   +1 more source

The progressive modernization of cassava breeding programs at International Institute of Tropical Agriculture and future prospects

open access: yesCrop Science, Volume 66, Issue 2, March/April 2026.
Abstract Modernizing cassava breeding programs (CBPs) is critical to increase genetic gain, close the yield gap, and ensure food availability, accessibility, and affordability to support livelihood transformation and economic development in sub‐Saharan Africa (SSA).
Edwige Gaby Nkouaya Mbanjo   +10 more
wiley   +1 more source

OHID-1: A New Large Hyperspectral Image Dataset for Multi-Classification. [PDF]

open access: yesSci Data
Mani A   +14 more
europepmc   +1 more source

Drone‐imaging assisted genome‐wide association studies reveal key quantitative trait loci for emergence and late blight resistance in tetraploid potato

open access: yesCrop Science, Volume 66, Issue 2, March/April 2026.
Abstract Solanum tuberosum L. (potato) is the world's most important vegetable crop, and developing improved cultivars is paramount for global food security. The efficacy of the genomic prediction models that accelerate breeding and genome‐wide association studies (GWAS) depends on large, high‐quality phenotypic datasets, which are often associated ...
Trine Aalborg   +5 more
wiley   +1 more source

Remote sensing and machine learning models to assess and predict turfgrass performance and soil water stress under deficit irrigation for creeping bentgrass

open access: yesCrop Science, Volume 66, Issue 2, March/April 2026.
Abstract Turfgrass management faces challenges related to water scarcity, making it essential to explore innovative technologies, such as remote sensing and machine learning (ML), to monitor turf quality (TQ) and soil moisture levels effectively. The objective of this study was to develop ML models using unmanned aerial vehicle and imagery technology ...
Haoguang Yang   +3 more
wiley   +1 more source

Estimating Plant Species Richness With Sentinel and Landsat Data Across Ecosystems in China

open access: yesEcology and Evolution, Volume 16, Issue 3, March 2026.
438 field plots were used to estimate plant diversity across ecosystems; 18 spectral indices were derived from Sentinel and Landsat data; EVI, DVI, PSRI, NDVI, PRI, GNDVI, and GMEVI were identified as powerful indicators for predicting plant alpha diversity.
Keman Wang   +4 more
wiley   +1 more source

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