scholarly journals INTERPRETATION OF MERCURY INJECTION EXPERIMENTS USING A MINIMUM SET OF POROUS DESCRIPTORS DERIVED BY QUANTITATIVE IMAGE ANALYSIS

2011 ◽  
Vol 21 (2) ◽  
pp. 127 ◽  
Author(s):  
Yannick Anguy ◽  
Sophie Belin ◽  
Robert Ehrlich ◽  
Azita Ahmadi
Keyword(s):  
Image Analysis ◽  
Quantitative Image Analysis ◽  
Thin Sections ◽  
Quantitative Image ◽  
Sandstone Reservoir ◽  
Area North ◽  
Type Data ◽  
Pore Types ◽  
Capillary Pressure Curves ◽  
Arkosic Sandstone

The porosity exposed in a series of petrographic thin sections from a sub-arkosic sandstone reservoir of the Alwyn area (North Sea) is described by 5 morphological porous descriptors, Pore-Types, obtained by quantitative image analysis procedures and pattern recognition algorithms developed by Ehrlich et al. (1991a). By combining Pore-Type data with capillary pressure curves, we obtain preliminary results showing that in the studied reservoir, the achieved Pore-Types relate better to petrophysics when they are complemented with a sedimentological information.

Quantitative image analysis of polymer blends

1994 ◽  
Vol 52 ◽  
pp. 920-921
Author(s):  
X. Zhang ◽  
V. K. Berry
Keyword(s):  
Image Analysis ◽  
Polymer Blend ◽  
Volume Fraction ◽  
Imaging System ◽  
Quantitative Image Analysis ◽  
Styrene Butadiene Rubber ◽  
Butadiene Rubber ◽  
Structure Property ◽  
Thin Sections ◽  
Quantitative Image

Quantitative image analysis is important in understanding the role of microstructure in polymer blend properties, as revealed by the TEM. This paper presents an example of the application of the image analysis method to the study of structure/property relationship of an acrylonitrile-butadiene-styrene (ABS) polymer.ABS is a rubber-toughened two-phase polymer blend. As shown in Figure 1, the microstructure of ABSconsists of small rubber particles embedded in a styrene-acrylonitrile copolymer (SAN) matrix. The morphologies of these blends, which depend on the polymerization conditions, play a key role to the overall physical and mechanical properties of the blends. The quantitative characterization of the rubber phase involves measuring its volume fraction as well as the particle size distribution.Four ABS samples, available commercially, with different levels of styrene butadiene rubber (SBR),were used in this study. The samples were block stained, using osmium tctroxide (OsO4) solution, and thin sectioned in an ultramicrotome.The thin sections were examined in a JEM-100CX II TEM, operated at 60KV. The representative images were acquired on a SEMICAPS Imaging System using a GATAN CCD TV rate camera.

Digital image acquisition, processing, and analysis in a polymer microscopy laboratory

1994 ◽  
Vol 52 ◽  
pp. 454-455
Author(s):  
Vinod K. Berry ◽  
Xiao Zhang
Keyword(s):  
United States ◽  
Image Analysis ◽  
Digital Image ◽  
Image Acquisition ◽  
Image Transmission ◽  
The United States ◽  
Quantitative Image Analysis ◽  
Quantitative Image

In recent years it became apparent that we needed to improve productivity and efficiency in the Microscopy Laboratories in GE Plastics. It was realized that digital image acquisition, archiving, processing, analysis, and transmission over a network would be the best way to achieve this goal. Also, the capabilities of quantitative image analysis, image transmission etc. available with this approach would help us to increase our efficiency. Although the advantages of digital image acquisition, processing, archiving, etc. have been described and are being practiced in many SEM, laboratories, they have not been generally applied in microscopy laboratories (TEM, Optical, SEM and others) and impact on increased productivity has not been yet exploited as well.In order to attain our objective we have acquired a SEMICAPS imaging workstation for each of the GE Plastic sites in the United States. We have integrated the workstation with the microscopes and their peripherals as shown in Figure 1.

scholarly journals Quantitative image analysis of microbial communities with BiofilmQ

2021 ◽  
Author(s):  
Raimo Hartmann ◽  
Hannah Jeckel ◽  
Eric Jelli ◽  
Praveen K. Singh ◽  
Sanika Vaidya ◽  
...  
Keyword(s):  
Image Analysis ◽  
Microbial Communities ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Software Tool ◽  
Image Cytometry ◽  
Quantitative Image Analysis ◽  
Space And Time ◽  
Quantitative Image ◽  
Three Dimensional Space

AbstractBiofilms are microbial communities that represent a highly abundant form of microbial life on Earth. Inside biofilms, phenotypic and genotypic variations occur in three-dimensional space and time; microscopy and quantitative image analysis are therefore crucial for elucidating their functions. Here, we present BiofilmQ—a comprehensive image cytometry software tool for the automated and high-throughput quantification, analysis and visualization of numerous biofilm-internal and whole-biofilm properties in three-dimensional space and time.

Quantitative Image Analysis of Nuclear Chromatin Distribution for Cytological Diagnosis

2011 ◽  
Vol 55 (5) ◽  
pp. 455-459 ◽  
Author(s):  
Ryotaro Jingu ◽  
Masafumi Ohki ◽  
Sumiko Watanabe ◽  
Sadafumi Tamiya ◽  
Setsuo Sugishima ◽  
...  
Keyword(s):  
Image Analysis ◽  
Quantitative Image Analysis ◽  
Cytological Diagnosis ◽  
Nuclear Chromatin ◽  
Quantitative Image
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