Three-dimensional visualization and characterization of cracks in geothermal reservoir rock using image analysis of reconstructed μCT images: A preliminary study

2014 ◽  
Author(s):  
Fourier Dzar Eljabbar Latief ◽  
Selly Feranie
Keyword(s):  
Image Analysis ◽  
Three Dimensional ◽  
Geothermal Reservoir ◽  
Reservoir Rock ◽  
Preliminary Study

scholarly journals Characterization of three-dimensional cancer cell migration in mixed collagen-Matrigel scaffolds using microfluidics and image analysis

PLoS ONE ◽  
2017 ◽  
Vol 12 (2) ◽  
pp. e0171417 ◽  
Author(s):  
María Anguiano ◽  
Carlos Castilla ◽  
Martin Maška ◽  
Cristina Ederra ◽  
Rafael Peláez ◽  
...  
Keyword(s):  
Image Analysis ◽  
Cell Migration ◽  
Cancer Cell ◽  
Three Dimensional ◽  
Cancer Cell Migration

scholarly journals General Analytical Schemes for the Characterization of Pectin-Based Edible Gelled Systems

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Maryam Haghighi ◽  
Karamatollah Rezaei
Keyword(s):  
Image Analysis ◽  
Three Dimensional ◽  
Analytical Techniques ◽  
Physicochemical Analysis ◽  
Visual Observation ◽  
Scientific Data ◽  
Rheological Measurement ◽  
Rheological Measurements ◽  
Analytical Approaches

Pectin-based gelled systems have gained increasing attention for the design of newly developed food products. For this reason, the characterization of such formulas is a necessity in order to present scientific data and to introduce an appropriate finished product to the industry. Various analytical techniques are available for the evaluation of the systems formulated on the basis of pectin and the designed gel. In this paper, general analytical approaches for the characterization of pectin-based gelled systems were categorized into several subsections including physicochemical analysis, visual observation, textural/rheological measurement, microstructural image characterization, and psychorheological evaluation. Three-dimensional trials to assess correlations among microstructure, texture, and taste were also discussed. Practical examples of advanced objective techniques including experimental setups for small and large deformation rheological measurements and microstructural image analysis were presented in more details.

scholarly journals Comparative evaluation of three image analysis methods for angular displacement measurement in a MEMS microgripper prototype: a preliminary study

ACTA IMEKO ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 119
Author(s):  
Federica Vurchio ◽  
Giorgia Fiori ◽  
Andrea Scorza ◽  
Salvatore Andrea Sciuto
Keyword(s):  
Image Analysis ◽  
Angular Displacement ◽  
Functional Characterization ◽  
Displacement Measurement ◽  
Mems Devices ◽  
Speeded Up Robust Features ◽  
Relevant Today ◽  
Measurement Results ◽  
Preliminary Study

<p class="Abstract"><span lang="EN-US">The functional characterization of MEMS devices is relevant today since it aims at verifying the behavior of these devices, as well as improving their design. In this regard, this study focused on the functional characterization of a MEMS microgripper prototype suitable in biomedical applications: the measurement of the angular displacement of the microgripper comb-drive is carried out by means of two novel automatic procedures, based on an image analysis method, SURF-based (Angular Displacement Measurement based on Speeded Up Robust Features, ADM<sub>SURF</sub>) and FFT-based (Angular Displacement Measurement based on Fast Fourier Transform, ADM<sub>FFT</sub>) method, respectively. Moreover, the measurement results are compared with a Semi-Automatic Method (SAM), to evaluate which of them is the most suitable for the functional characterization of the device. The curve fitting of the outcomes from SAM and ADM<sub>SURF</sub>, showed a quadratic trend in agreement with the analytical model. Moreover, the ADM<sub>SURF</sub> measurements below 1° are affected by an uncertainty of about 0.08° for voltages less than 14 V, confirming its suitability for microgripper characterization. It was also evaluated that the ADM<sub>FFT</sub> is more suitable for measurement of rotations greater than 1° (up to 30°), with a measurement uncertainty of 0.02°, at 95% of confidence level.</span></p>

scholarly journals Novel Image Analysis Approach Quantifies Morphological Characteristics of 3D Breast Culture Acini with Varying Metastatic Potentials

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Lindsey McKeen Polizzotti ◽  
Basak Oztan ◽  
Chris S. Bjornsson ◽  
Katherine R. Shubert ◽  
Bülent Yener ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Image Analysis ◽  
Three Dimensional ◽  
Morphological Characteristics ◽  
Tissue Samples ◽  
Metastatic Cascade ◽  
Automated Grading

Prognosis of breast cancer is primarily predicted by the histological grading of the tumor, where pathologists manually evaluate microscopic characteristics of the tissue. This labor intensive process suffers from intra- and inter-observer variations; thus, computer-aided systems that accomplish this assessment automatically are in high demand. We address this by developing an image analysis framework for the automated grading of breast cancer inin vitrothree-dimensional breast epithelial acini through the characterization of acinar structure morphology. A set of statistically significant features for the characterization of acini morphology are exploited for the automated grading of six (MCF10 series) cell line cultures mimicking three grades of breast cancer along the metastatic cascade. In addition to capturing both expected and visually differentiable changes, we quantify subtle differences that pose a challenge to assess through microscopic inspection. Our method achieves 89.0% accuracy in grading the acinar structures as nonmalignant, noninvasive carcinoma, and invasive carcinoma grades. We further demonstrate that the proposed methodology can be successfully applied for the grading ofin vivotissue samples albeit with additional constraints. These results indicate that the proposed features can be used to describe the relationship between the acini morphology and cellular function along the metastatic cascade.

scholarly journals Three-dimensional geometric measurements of snow microstructural evolution under isothermal conditions

2004 ◽  
Vol 38 ◽  
pp. 39-44 ◽  
Author(s):  
Frédéric Flin ◽  
Jean-Bruno Brzoska ◽  
Bernard Lesaffre ◽  
Cécile Coléou ◽  
Romeu André Pieritz
Keyword(s):  
Image Analysis ◽  
Adaptive Algorithm ◽  
Complex Geometry ◽  
Three Dimensional ◽  
Volume Data ◽  
Tomographic Data ◽  
The Many ◽  
Curvature Distribution ◽  
Curvature Computation

AbstractSnow, from its fall until its full melting, undergoes a structural metamorphism that is governed by temperature and humidity fields. Among the many possible mechanisms that contribute to snow metamorphism, those that depend only on curvature are the most accessible to modelling. In this paper, techniques of volume data analysis adapted to the complex geometry of snow are introduced and then applied to experimental tomographic data coming from the isothermal metamorphism of snow near 0°C. In particular, an adaptive algorithm of curvature computation is described. Present results on the evolution of specific surface area and anisotropy already show that such image-analysis methods are relevant tools for the characterization of real snow microstructures. Moreover, the evolution of the curvature distribution with time provides valuable information for the development of sintering models, in the same way as a possible quantitative calibration of snow-grain coarsening laws.

Three-Dimensional Characterization of Pigment Dispersion in Dried Paint Films Using Focused Ion Beam–Scanning Electron Microscopy

2012 ◽  
Vol 18 (2) ◽  
pp. 266-271 ◽  
Author(s):  
Jui-Ching Lin ◽  
William Heeschen ◽  
John Reffner ◽  
John Hook
Keyword(s):  
Image Analysis ◽  
Focused Ion Beam ◽  
Ion Beam ◽  
Three Dimensional ◽  
Pigment Dispersion ◽  
Beam Scanning ◽  
Quantitative Characterization ◽  
Paint Films ◽  
Scanning Electron

AbstractThe combination of integrated focused ion beam–scanning electron microscope (FIB-SEM) serial sectioning and imaging techniques with image analysis provided quantitative characterization of three-dimensional (3D) pigment dispersion in dried paint films. The focused ion beam in a FIB-SEM dual beam system enables great control in slicing paints, and the sectioning process can be synchronized with SEM imaging providing high quality serial cross-section images for 3D reconstruction. Application of Euclidean distance map and ultimate eroded points image analysis methods can provide quantitative characterization of 3D particle distribution. It is concluded that 3D measurement of binder distribution in paints is effective to characterize the order of pigment dispersion in dried paint films.

Characterization of photosystem II with the atomic-force microscope

1992 ◽  
Vol 50 (2) ◽  
pp. 1146-1147
Author(s):  
Kathleen M. Marr ◽  
Mary K. Lyon
Keyword(s):  
Photosystem Ii ◽  
Atomic Force Microscope ◽  
Three Dimensional ◽  
Biologically Active ◽  
Atomic Force ◽  
Freeze Etching ◽  
Image Averaging ◽  
Oxygen Evolving ◽  
Averaging Techniques

Photosystem II (PSII) is different from all other reaction centers in that it splits water to evolve oxygen and hydrogen ions. This unique ability to evolve oxygen is partly due to three oxygen evolving polypeptides (OEPs) associated with the PSII complex. Freeze etching on grana derived insideout membranes revealed that the OEPs contribute to the observed tetrameric nature of the PSIl particle; when the OEPs are removed, a distinct dimer emerges. Thus, the surface of the PSII complex changes dramatically upon removal of these polypeptides. The atomic force microscope (AFM) is ideal for examining surface topography. The instrument provides a topographical view of individual PSII complexes, giving relatively high resolution three-dimensional information without image averaging techniques. In addition, the use of a fluid cell allows a biologically active sample to be maintained under fully hydrated and physiologically buffered conditions. The OEPs associated with PSII may be sequentially removed, thereby changing the surface of the complex by one polypeptide at a time.

convergent-beam diffraction from surfaces

1987 ◽  
Vol 45 ◽  
pp. 30-33
Author(s):  
J. A. Eades ◽  
A. E. Smith ◽  
D. F. Lynch
Keyword(s):  
Reciprocal Lattice ◽  
Three Dimensional ◽  
Grazing Incidence ◽  
Three Dimensions ◽  
Plane Figure ◽  
Transmission Electron ◽  
Convergent Beam ◽  
Beam Patterns ◽  
Beam Diffraction

It is quite simple (in the transmission electron microscope) to obtain convergent-beam patterns from the surface of a bulk crystal. The beam is focussed onto the surface at near grazing incidence (figure 1) and if the surface is flat the appropriate pattern is obtained in the diffraction plane (figure 2). Such patterns are potentially valuable for the characterization of surfaces just as normal convergent-beam patterns are valuable for the characterization of crystals.There are, however, several important ways in which reflection diffraction from surfaces differs from the more familiar electron diffraction in transmission.GeometryIn reflection diffraction, because of the surface, it is not possible to describe the specimen as periodic in three dimensions, nor is it possible to associate diffraction with a conventional three-dimensional reciprocal lattice.

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