Results 91 to 100 of about 2,885,109 (234)

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

Optical coherence tomography fast versus regular macular thickness mapping in diabetic retinopathy [PDF]

open access: yes, 2008
Objective: The purpose of the study was to investigate if absolute values and reproducibility of thickness maps obtained from 2 optical coherence tomography (OCT) scanning protocols, regular high-resolution and fast low-density mode, differ in patients ...
Ceklic, Lala   +2 more
core   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

open access: yesAdvanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle   +5 more
wiley   +1 more source

Artifacts of optical coherence tomography

open access: yesРоссийский офтальмологический журнал, 2019
Purpose. To study and classify artifacts of spectral-domain optical coherence tomography (OCT).  Material and methods. The retrospective study included OCT data of 112 patients (112 eyes)  examined on two Cirrus HD-OCTs (Carl Zeiss Meditec) sequentially ...
A. A. Shpak, M. V. Korobkova
doaj   +1 more source

Artifacts in optical coherence tomography

open access: yesSaudi Journal of Ophthalmology, 2014
Optical coherence tomography (OCT) is now an integral part of management for numerous retinal diseases for diagnosis, treatment planning and follow up. OCT interpretation must involve the understanding of the associated artifacts. These artifacts can mislead physicians to wrong diagnosis or inappropriate management.
Chhablani, Jay   +3 more
openaire   +2 more sources

Optical coherence tomography in clinical examinations of nonpigmented skin malignancies [PDF]

open access: yes, 2003
Optical coherence tomography (OCT) images of basal cell carcinomas (BCCs) have been acquired using a compact handheld probe with an integrated video camera allowing the OCT images to be correlated to a skin surface image. In general the healthy tissue of
Pedersen, F.   +34 more
core   +1 more source

OntOMat: Toward Ontology‐Based Product and Process Design Engineering and Optimization Solutions Fueling Circular Value Chains

open access: yesAdvanced Engineering Materials, EarlyView.
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ   +19 more
wiley   +1 more source

Optical coherence tomography in neurophthalmology

open access: yesKerala Journal of Ophthalmology, 2018
Optical coherence tomography (OCT), widely used in the management of macular disorders and glaucoma, has proved its usefulness in many neurophthalmic disorders.
J K Ann   +3 more
doaj   +1 more source

High-Definition Optical Coherence Tomography for the in vivo Detection of Demodex Mites [PDF]

open access: yes, 2012
Background: Demodex mites are involved in different skin diseases and are commonly detected by skin scrape tests or superficial biopsies. A new high-definition optical coherence tomography (HD-OCT) with high lateral and axial resolution in a horizontal ...
Sattler, E.   +4 more
core   +1 more source

Semantic Modeling in Materials Science and Engineering With Platform MaterialDigital Core Ontology 3.0

open access: yesAdvanced Engineering Materials, EarlyView.
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling   +15 more
wiley   +1 more source

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