Results 221 to 230 of about 153,077 (360)

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

Label-Free Visualization of the Antifungal Polyene Drug, Nystatin, in Biological Membranes Using Raman Microscopy. [PDF]

Anal Chem
Tipping WJ, Bilal Z, Wells RC, Brown JL, Graham D, Faulds K.   +5 more
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

Quantitative assessment of rheumatoid arthritis treatment response using short-wave infrared hyperspectral imaging soft abundance scoring. [PDF]

J Biomed Opt
Chen HH, Wang HC, Lai KL, Sung CC, Chen JP, Fu YW, Weng SJ, Chen HM.   +7 more
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

Spatial-Spectral Bidirectional-Driven Collaborative Network with Coordinate-Aware and Spectral-Modulated Interaction for Hyperspectral Pansharpening. [PDF]

Sensors (Basel)
Gao Q, Tao C, Du X, Zhu Y, Liu S, Chen X, Chen Q.   +6 more
europepmc   +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

Visualization of Three-Dimensional SSC (Soluble Solids Content) Across the Entire Surface of Strawberries Using Near-Infrared Hyperspectral Imaging. [PDF]

Foods
Seki H, Li B, Kawaide T, Ma T, Tsuchikawa S, Inagaki T.   +5 more
europepmc   +1 more source

Observing the invisible: X‐ray CT for plant–microbe interactions

New Phytologist, EarlyView.
Utility of X‐ray computed tomography (X‐ray CT) for visualising belowground plant interactions between multiple spatial scales and focal planes. Summary Plant–microbe interactions are inherently spatial, yet the physical structure of the soil and rhizosphere is rarely treated as a mechanistic variable in experimental design.
Eric C. Pereira, Chris A. Bell
wiley   +1 more source

Parameter- and Compute-Efficient Spatial-Spectral Transformer Framework for Pixel-Level Classification of Foreign Plastic Objects on Broiler Meat Using NIR-Hyperspectral Imaging. [PDF]

Sensors (Basel)
Khan Z, Yoon SC, Bhandarkar SM.
europepmc   +1 more source