When biology meets materials science – Interdisciplinary applications of electron microscopy
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 +5 more
wiley +1 more source
HSICNet a novel deep learning architecture for hyperspectral image classification in remote sensing and environmental monitoring. [PDF]
Purnachand K +5 more
europepmc +1 more source
Mineral Identification in LWIR Hyperspectral Imagery Applying Sparse Spectral Clustering
Bardia Yousefi +5 more
openalex +1 more source
Deep data: discovery and visualization Application to hyperspectral ALMA imagery [PDF]
Erzsébet Merényi +2 more
openalex +1 more source
Ground truth and raw hyperspectral files of olive trees for plant stress detection
Ioannis Navrozidis
openalex +1 more source
Hyperspectral tomographic diffractive microscopy: Development and applications
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 +4 more
wiley +1 more source
Dissecting the genetic architecture of seed-related traits in Brassica napus by integrating multi-omics analysis and VIS-NIR hyperspectral imaging. [PDF]
Tan Z +11 more
europepmc +1 more source
A proposed concept for classifying uniaxial compressive strength (UCS) from SWIR hyperspectral data
Edward C. Wellman +5 more
openalex +1 more source
Ryugu Reference Project: Recommendations from the Measurement Definition Team
Abstract Sample return missions play a significant role in planetary science by providing pristine extraterrestrial materials. JAXA's Hayabusa2 and NASA's OSIRIS‐REx missions have returned samples from the C‐type asteroids Ryugu and Bennu, respectively. The chemical and mineralogical compositions of these samples closely resemble those of CI chondrites,
Tetsuya Yokoyama +16 more
wiley +1 more source
Integrating Hyperspectral Data and Deep Learning for Non-Destructive Prediction of Tea Quality Parameters Across Different Physical States of Tea Leaves and Growth Periods. [PDF]
Zhou G +13 more
europepmc +1 more source

