Results 171 to 180 of about 9,650 (249)

SMILE: Extraction‐free submicron‐resolution mapping of lipid chain length and unsaturation by stimulated Raman imaging

VIEW, Volume 7, Issue 4, August 2026.
In this work, we develop submicron‐resolution mapping of intracellular lipid elements (SMILE) as an extraction‐free vibrational spectroscopic imaging platform based on hyperspectral stimulated Raman scattering microscopy with a spectral analysis pipeline for pixel‐resolved lipid profiling.
Yihui Zhou, Xiangjie Huang, Xingxin Liu, Ling Zhang, Jie Huang, Jing Zhao, Yongqing Zhang, Jin Zhang, Yanqing Gong, Delong Zhang, Hyeon Jeong Lee   +10 more
wiley   +1 more source

A Dense Pyramidal Residual Network with a Tandem Spectral-Spatial Attention Mechanism for Hyperspectral Image Classification. [PDF]

Sensors (Basel)
Guan Y, Li Z, Wang N.
europepmc   +1 more source

Surface Mineralogy and Hydrological Controls on “Hotspots” of Dust Emission at Etosha Pan, Namibia

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 8, August 2026.
Abstract Ephemeral lake beds are globally significant sources of atmospheric mineral dust aerosols, yet emissions from these landforms exhibit considerable spatial and temporal variability. The complex interactions between climatic drivers and surface properties that govern dust emissions remain poorly understood, contributing to uncertainties in model
N. S. Wallum, R. G. Bryant, G. F. S. Wiggs, R. L. Reynolds, H. L. Goldstein, J. A. Leidelmeijer, J. M. Nield, M. C. Baddock   +7 more
wiley   +1 more source

Segmentation-based deep 2D-3D multibranch learning approach for effective hyperspectral image classification. [PDF]

PLoS One
Ahmed T, Mahjabin Nitu A, Ibn Afjal M, Abdulla Al Mamun M, Uddin MP.   +4 more
europepmc   +1 more source

Spectral response of guava leaves under infestation by Costalimaita ferruginea (coleoptera: Chrysomelidae)

Agricultural and Forest Entomology, Volume 28, Issue 3, Page 398-409, August 2026.
Coccinellidae (Coleoptera), Miridae (Hemiptera), Hemerobiidae (Neuroptera), Pentatomidae (Hemiptera), Anystidae (Acari), Erythraeidae (Acari) and spiders (Araneidae, Oxyopidae and Salticidae) fed on the invasive paropsine leaf beetles in Marlborough, New Zealand.
Souradji I. Bachirou, Pedro G. Peixoto, David L. Rosalen   +2 more
wiley   +1 more source

Adaptive pixel attention network for hyperspectral image classification. [PDF]

Sci Rep
Zhao Y, Zai C, Hu N, Shi L, Zhou X, Sun J.   +5 more
europepmc   +1 more source

Simplex‐based model for nanoparticle grain identification in four‐dimensional scanning transmission electron microscopy data

Journal of Microscopy, Volume 303, Issue 2, Page 194-215, August 2026.
Abstract Grain identification in polycrystalline nanoparticles, for example, determining which crystal phases are present at each spatial location, is fundamental to materials characterisation. This is particularly challenging when grains overlap extensively, as commonly occurs in four‐dimensional scanning transmission electron microscopy (4D‐STEM ...
Wei Liu, Roberto dos Reis, Chad A. Mirkin, Vinayak P. Dravid, Wei Chen, Daniel W. Apley   +5 more
wiley   +1 more source

GroupFormer for hyperspectral image classification through group attention. [PDF]

Sci Rep
Khan R, Arshad T, Ma X, Zhu H, Wang C, Khan J, Khan ZU, Khan SU.   +7 more
europepmc   +1 more source

Kinetic parameter prediction using neural networks identifies limitations to C4 photosynthesis

New Phytologist, Volume 251, Issue 3, Page 1578-1594, August 2026.
Schematic overview of the generation of artificial training data and training of neural networks in C4TUNE. Summary Kinetic models of photosynthesis enable time‐resolved predictions of traits related to this key process and provide the means to identify factors limiting photosynthesis.
Philipp Wendering, John Ferguson, Rudan Xu, Johannes Kromdijk, Zoran Nikoloski   +4 more
wiley   +1 more source

Automatic Kiwifruit Segmentation From Terrestrial LiDAR Point Clouds for Precision Agriculture

Transactions in GIS, Volume 30, Issue 5, August 2026.
ABSTRACT With the advancement of automation in agriculture, the determination of the health status of fruits, yield estimation, and the realization of automated harvesting have become critical applications in precision agriculture. In this context, accurate extraction of the spatial information of fruits plays a vital role.
Mustafa Dihkan, Feride Secil Yildirim, Fevzi Karsli, Gultekin Erbas   +3 more
wiley   +1 more source