QUANTITATIVE INTEGRATION OF MODERN AUTOMATED MINERALOGY, AND LARGE-AREA SEM IMAGING TECHNIQUES TO SELECT REPRESENTATIVE REGIONS OF INTEREST FOR MICROSTRUCTURAL RESERVOIR ROCK ANALYSIS AT MICRO- AND NANO-SCALE

2017 ◽  
Author(s):  
Andrey Kazak
Keyword(s):  
Imaging Techniques ◽  
Regions Of Interest ◽  
Reservoir Rock ◽  
Large Area ◽  
Nano Scale ◽  
Automated Mineralogy ◽  
Sem Imaging ◽  
Quantitative Integration ◽  
Rock Analysis

Advanced large area characterization of thin-film solar modules by electroluminescence and thermography imaging techniques

2015 ◽  
Vol 135 ◽  
pp. 35-42 ◽  
Author(s):  
A. Gerber ◽  
V. Huhn ◽  
T.M.H. Tran ◽  
M. Siegloch ◽  
Y. Augarten ◽  
...  
Keyword(s):  
Thin Film ◽  
Imaging Techniques ◽  
Large Area

scholarly journals A Reverse Engineering Approach for Imaging Spinal Cord Architecture - Large Area High-Resolution SEM Imaging

2015 ◽  
Vol 21 (S3) ◽  
pp. 921-922
Author(s):  
C. A. Brantner ◽  
M. Rasche ◽  
K. E. Burcham ◽  
J. Klingfus ◽  
J. E. Sanabia ◽  
...  
Keyword(s):  
Spinal Cord ◽  
High Resolution ◽  
Reverse Engineering ◽  
Large Area ◽  
Engineering Approach ◽  
Sem Imaging

scholarly journals Mounted Single Particle Characterization for 3D Mineralogical Analysis—MSPaCMAn

Minerals ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 947
Author(s):  
Jose R. A. Godinho ◽  
Barbara L. D. Grilo ◽  
Friedrich Hellmuth ◽  
Asim Siddique
Keyword(s):  
Single Particle ◽  
Imaging Techniques ◽  
Particle Analysis ◽  
Phase Identification ◽  
Particle Characterization ◽  
Mineralogical Analysis ◽  
Particulate Materials ◽  
Phase Classification ◽  
Automated Mineralogy ◽  
The Impact

This paper demonstrates a new method to classify mineral phases in 3D images of particulate materials obtained by X-ray computed micro-tomography (CT), here named mounted single particle characterization for 3D mineralogical analysis (MSPaCMAn). The method allows minimizing the impact of imaging artefacts that make the classification of voxels inaccurate and thus hinder the use of CT to characterize natural particulate materials. MSPaCMAn consists of (1) sample preparation as particle dispersions; (2) image processing optimized towards the labelling of individual particles in the sample; (3) phase identification performed at the particle level using an interpretation of the grey-values of all voxels in a particle rather than of all voxels in the sample. Additionally, the particle’s geometry and microstructure can be used as classification criteria besides the grey-values. The result is an improved accuracy of phase classification, a higher number of detected phases, a smaller grain size that can be detected, and individual particle statistics can be measured instead of just bulk statistics. Consequently, the method broadens the applicability of 3D imaging techniques for particle analysis at low particle size to voxel size ratio, which is typically limited due to unreliable phase classification and quantification. MSPaCMAn could be the foundation of 3D semi-automated mineralogy similar to the commonly used 2D image-based semi-automated mineralogy methods.

scholarly journals Optical Coherence Tomography Angiography (OCT-A) in a Patient with Occult Retinal Dysfunction

2019 ◽  
Vol 2019 ◽  
pp. 1-7
Author(s):  
Juliana Wons ◽  
Jana Dinges ◽  
Matthias D. Becker ◽  
Stephan Michels
Keyword(s):  
Optical Coherence Tomography ◽  
Visual Field ◽  
Near Infrared ◽  
Infrared Imaging ◽  
Imaging Techniques ◽  
Visual Field Defects ◽  
Retinal Layer ◽  
Optical Coherence ◽  
Large Area ◽  
Sd Oct

Multimodal imaging techniques were performed in a patient with a newly emerged visual field defect; a missing retinal lesion on fundus examination made the diagnosis challenging but infrared imaging showed a larger area of retinal abnormality temporal to the fovea. Indocyanine green angiography (IA) showed late hypofluorescence and there was mild hyperautofluorescence which is known from acute zonal occult outer retinopathy (AZOOR). Despite normal fluorescein angiography (FA) results, a perfusion loss in the outer retinal layer was detected by OCT-A. Similar OCT-A findings were recently described in patients with acute macular neuroretinopathy (AMN). Methods. The methods included FA and IA, spectral domain optical coherence tomography (SD-OCT), near infrared imaging, and autofluorescence imaging (AF), as well as OCT-A. Patient. A 36-year-old patient who suffered from acute symptoms of photopsia and scotoma on her left eye. She had an influenza-like illness two weeks earlier. The scotoma could be verified by visual field testing. Results. The affected retinal zone showed mild fading of external limiting membrane (ELM) and a disorganisation of the ellipsoid zone (EZ) on SD-OCT. OCT-A revealed a large area of reduced perfusion in the outer retinal vascular layer. Conclusion. OCT-A can help to detect reduced capillary network in patients with visual field defects and no visible fundus changes. This case seems to have features of different occult retinal disorders such as AZOOR and AMN.

HYBRID SEMICONDUCTING QUANTUM DOTS–METALLIC NANOPARTICLES ARRAYS FOR POSSIBLE NANOPHOTONIC DEVICES

2011 ◽  
Vol 10 (04n05) ◽  
pp. 1113-1118
Author(s):  
M. HARIDAS ◽  
J. K. BASU
Keyword(s):  
Quantum Dots ◽  
Self Assembly ◽  
Metallic Nanoparticles ◽  
Quantum Information Processing ◽  
Imaging Techniques ◽  
Large Area ◽  
Nanophotonic Devices ◽  
Wide Range ◽  
Potential Applications ◽  
Assembly Technique

Arrays of quantum dots and hybrid arrays of semiconducting quantum dots and metallic nanoparticles have wide range of potential applications from nanophotonics to quantum information processing. Creating such arrays with well-defined morphology and order over a large area is a challenge. We present a reliable method for constructing such arrays using simple self assembly technique. The reliability of the method is verified using AFM. The emission properties of such system are studied using high resolution imaging techniques and we have given the possible explanation for the observed phenomena.

Rapid templated fabrication of large-scale, high-density metallic nanocone arrays and SERS applications

2014 ◽  
Vol 2 (46) ◽  
pp. 9987-9992 ◽  
Author(s):  
Jing Zhao ◽  
Wangning Sun ◽  
Weijie Sun ◽  
Lingzhi Liu ◽  
Xiaoxiang Xia ◽  
...  
Keyword(s):  
Large Scale ◽  
High Density ◽  
Soft Template ◽  
Large Area ◽  
Nano Scale

A simple and universal soft-template approach is developed for fabricating large-area metallic nanocone arrays with nano-scale tips and high density.

scholarly journals Nanoscale Building Material Characterization by Means of High-Resolution SEM Imaging Techniques

2011 ◽  
Vol 17 (S2) ◽  
pp. 1478-1479
Author(s):  
B Möser
Keyword(s):  
High Resolution ◽  
Building Material ◽  
Material Characterization ◽  
Imaging Techniques ◽  
Sem Imaging

Extended abstract of a paper presented at Microscopy and Microanalysis 2011 in Nashville, Tennessee, USA, August 7–August 11, 2011.

scholarly journals Topological representation of the porous structure and its evolution of reservoir sandstone under excavation-induced loads

2017 ◽  
Vol 21 (suppl. 1) ◽  
pp. 285-292 ◽  
Author(s):  
Yang Ju ◽  
Yongming Yang ◽  
Xi Zhao ◽  
Feng Gao ◽  
Wei Song ◽  
...  
Keyword(s):  
Porous Structure ◽  
Numerical Models ◽  
Imaging Techniques ◽  
Reservoir Rock ◽  
Topological Model ◽  
Pore Characteristics ◽  
Deformation And Failure ◽  
Topological Parameters ◽  
Porous Sandstone ◽  
Compressive Loads

The porous structure of a reservoir rock greatly influences its evolutive deformation and fracture behavior during excavation of natural resources reservoirs. Most numerical models for porous structures have been used to predict the quasi-static mechanical properties, but few are available to accurately characterize the evolution process of the porous structure and its influence on the macroscopic properties of reservoir rocks. This study reports a novel method to characterize the porous structure of sandstone using its topological parameters and to determine the laws that govern the evolutive deformation and failure of the topological structure under various uniaxial compressive loads. A numerical model of the porous sandstone was established based on the pore characteristics that were acquired using computed tomography imaging techniques. The analytical method that integrates the grassfire algorithm and the maximum inscribed sphere algorithm was proposed to create the 3-D topological model of the deformed porous structure, through which the topological parameters of the structure were measured and identified. The evolution processes of the porous structure under various loads were characterized using its equivalent topological model and parameters. This study opens a new way to characterize the dynamic evolution of the pore structure of reservoir sandstone under excavation disturbance.

scholarly journals Revealing time’s secrets at the National Theatre of Costa Rica via innovative software for cultural heritage research

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
M. D. Barrantes-Madrigal ◽  
T. Zúñiga-Salas ◽  
R. E. Arce-Tucker ◽  
A. Chavarría-Sibaja ◽  
J. Sánchez-Solís ◽  
...  
Keyword(s):  
Costa Rica ◽  
Cultural Heritage ◽  
Imaging Techniques ◽  
Software Tools ◽  
Regions Of Interest ◽  
White Lead ◽  
Large Format ◽  
National Theatre ◽  
Non Invasive ◽  
Colour Palette

AbstractEstablishing affordable, efficient, accessible, innovative, and multidisciplinary methodologies to the diagnosis of the conservation state of an artwork is key to carry out appropriate strategies of conservation and consequently to the creation of modern public policies on cultural heritage. Limited access to large-format paintings is a challenge to restoration scientists seeking to obtain information quickly, in a non-destructive and non-invasive manner, and identify regions of interest. Therefore, we put forward two unique software tools based on multispectral imaging techniques, with the long-term aim to assess the artist’s intentions, creative process, and colour palette. This development paves the way for a comprehensive and multidisciplinary understanding of the mysteries encompassed in each pictorial layer, through the study of their physical and chemical characteristics. We conducted the first ever study on Musas I and Musas II, two large-format paintings by Italian artist Carlo Ferrario, located in the National Theatre of Costa Rica. In this study, we used our novel imaging techniques to choose regions of interest in order to study sample layers; while also assessing the works’ state of conservation and possible biodeterioration. We explored the applications of our two versatile software tools, RegionOfInterest and CrystalDistribution, and confirmed paint stratigraphies by means of microscopy and spectroscopy analyses (OM, SEM-EDX, Fluorescent microscopy, FTIR-ATR and micro-Raman). In a pilot study, we identified the artist’s main colour palette: zinc white, lead white, chrome yellow, lead read, viridian, along with artificial vermilion and ultramarine pigments. We were able to identify artificial vermilion and ultramarine and distinguish them from the natural pigments using CrystalDistribution to map the average size and diameter of the pigment crystals within the paint layers. This study demonstrated that software-based multidisciplinary imaging techniques are novel in establishing preventive and non-invasive methods for historical painting conservation studies, in addition, this study provides tools with great potential to be used in the future in applications such as virtual restoration.

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