Results 211 to 220 of about 11,136 (312)

Spatially and Spectrally Concatenated Neural Networks for Efficient Lossless Compression of Hyperspectral Imagery. [PDF]

J Imaging, 2020
Jiang Z, Pan WD, Shen H.
europepmc   +1 more source

Decoding stress resilience in soybean: Regulatory networks and precision breeding under climate change

Journal of Integrative Plant Biology, EarlyView.
This review covers recent progress in the understanding of stress‐responsive regulatory networks in soybean and highlights emerging genomic and breeding strategies. Integrating molecular insights and precision breeding will help to accelerate the development of climate‐resilient soybean cultivars.
Ali Shahzad, Monan Sun, Shuangkang Pei, Xiaoyu Liu, Yinhe Zhang, Keheng Xu, Hongtao Gao, Yonggang Zhou, Haiyan Li   +8 more
wiley   +1 more source

Reconfiguring biofortification strategies to transform food systems and address micronutrient deficiency of the 21st century

Journal of Integrative Plant Biology, EarlyView.
This review explores how to make staple foods and horticultural crops more nutritious, including how artificial intelligence‐based screening of gene banks helps deploy nutritionally rich germplasm into breeding. Genome editing can help develop crops richer in minerals, vitamins, and health‐promoting compounds, supporting healthier diets and more ...
Rhowell Jr. N. Tiozon, Alisdair R. Fernie, Nese Sreenivasulu   +2 more
wiley   +1 more source

Brain tissue classification in hyperspectral images using multistage diffusion features and transformer

Journal of Microscopy, EarlyView.
Abstract Brain surgery is a widely practised and effective treatment for brain tumours, but accurately identifying and classifying tumour boundaries is crucial to maximise resection and avoid neurological complications. This precision in classification is essential for guiding surgical decisions and subsequent treatment planning.
Neetu Sigger, Tuan T. Nguyen, Gianluca Tozzi   +2 more
wiley   +1 more source

Hierarchical Spatial-Spectral Feature Extraction with Long Short Term Memory (LSTM) for Mineral Identification Using Hyperspectral Imagery. [PDF]

Sensors (Basel), 2020
Zhao H, Deng K, Li N, Wang Z, Wei W.
europepmc   +1 more source

When biology meets materials science – Interdisciplinary applications of electron microscopy

Journal of Microscopy, EarlyView.
Abstract Research at the interface between biology and materials science creates challenges for electron microscopists. Everything from the sample preparation to the choice of imaging and analytical techniques and the interpretation of the resulting data refuses to sit comfortably within the domain of one discipline or the other.
Martin Saunders, Peta L. Clode, Enoch V. S. Wong, Anna‐Lee Jessop, Gerd E. Shröder‐Turk, Felix de Tombeur   +5 more
wiley   +1 more source

Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine. [PDF]

Sensors (Basel), 2020
Fang X, Cai Y, Cai Z, Jiang X, Chen Z.
europepmc   +1 more source

Hyperspectral tomographic diffractive microscopy: Development and applications

Journal of Microscopy, EarlyView.
Abstract Tomographic Diffractive Microscopy (TDM) provides label‐free three‐dimensional imaging of transparent samples with resolution surpassing confocal limits. At IRIMAS, successive instrumental developments since 2009 have enhanced TDM capabilities through transmission, reflection, isotropic, polarisation‐sensitive, and dual‐view configurations ...
Leonardo Pestana Legori, Carlos Alberto Chacón Ávila, Matthieu Debailleul, Nicolas Verrier, Olivier Haeberlé   +4 more
wiley   +1 more source

Classifying Hyperspectral Imageries

International Journal for Research in Applied Science and Engineering Technology, 2017
openaire   +1 more source

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

Journal of Microscopy, EarlyView.
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