Monte Carlo Simulation of an Electron Microscope Image and Its Application to Quantitative Image Analysis

2014 ◽  
Vol 64 (11) ◽  
pp. 1064-1071
Author(s):  
Myeong Chun SONG ◽  
Hyun Hee KIM ◽  
Sung Hyon KIM ◽  
Jin Seung KIM* ◽  
Byong Chon PARK
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Image Analysis ◽  
Electron Microscope ◽  
Quantitative Image Analysis ◽  
Microscope Image ◽  
Quantitative Image ◽  
Electron Microscope Image

Improved Particle Size Measurements on Pigments for Rubber

1983 ◽  
Vol 56 (5) ◽  
pp. 892-917 ◽  
Author(s):  
W. M. Hess ◽  
G. C. McDonald
Keyword(s):  
Particle Size ◽  
Image Analysis ◽  
Electron Microscope ◽  
Particle Size Analysis ◽  
Size Analysis ◽  
Precipitated Calcium Carbonate ◽  
Microscope Image ◽  
Carbon Blacks ◽  
Grade Classification ◽  
Electron Microscope Image

Abstract High shear mixes of carbon black and many other pigments in a cellulose acetate butyrate paint chip formulation have provided superior specimens for analysis by automated electron microscope image analysis. Specimens prepared from these mixes exhibit reduced aggregation and improved dispersion. Testing accuracy, precision, and sampling are significantly improved in comparison to previous techniques. The CAB method is applicable to carbon blacks, silica, precipitated calcium carbonate, red iron oxide, titanium dioxide, and any rubber grade pigment that is composed of stable particles that are reasonably isotropic in nature. Certain ground pigments or those containing highly anisotropic particles may give erroneous results due to breakage (e.g., clay, acicular zinc oxide). An improved particle size analysis program for automated electron microscope image analysis was developed. This utilizes a self-determining factor to correct for particle aggregation. The method provided good grade classification for a broad range of carbon blacks in CAB and is also suitable for screening blacks in the dry state or extracted from rubber.

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.

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