Determining the petrographic fabric of a compacted soil using semivariance analysis: sample preparation and digital petrographic image analysis

Geoderma ◽  
2004 ◽  
Vol 120 (1-2) ◽  
pp. 47-61 ◽  
Author(s):  
C.G Dillon ◽  
L.K Philip
Keyword(s):  
Image Analysis ◽  
Sample Preparation ◽  
Compacted Soil ◽  
Semivariance Analysis ◽  
Petrographic Image Analysis

Image analysis software and sample preparation demands

1990 ◽  
Author(s):  
Karl n. Roth ◽  
Knut Wenzelides ◽  
Guenter Wolf ◽  
Peter Hufnagl
Keyword(s):  
Image Analysis ◽  
Sample Preparation ◽  
Analysis Software ◽  
Image Analysis Software

scholarly journals Application of petrographic image analysis in assessment of chemical attack in the concrete segments of a tunnel

2018 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Faramarz Moodi ◽  
Ali Akbar Ramezanianpour ◽  
Qasem Bagheri Chenar ◽  
Erfan Riahi Dehkordi
Keyword(s):  
Image Analysis ◽  
Chemical Attack ◽  
Petrographic Image Analysis

Improved image analysis system for technical sugar crystal suspensions

2017 ◽  
pp. 538-543
Author(s):  
René Daniëls ◽  
Daniel Nouws ◽  
Arend Wittenberg
Keyword(s):  
Image Analysis ◽  
Sample Preparation ◽  
Crystal Size ◽  
Original System ◽  
Image Analysis System ◽  
Software Configuration ◽  
Grain Formation ◽  
Sample Preparation Procedure ◽  
Analysis System ◽  
Set Up

Since 2003, Suiker Unie has used an off-line image analysis system (IAS) to measure the size distribution of crystals in industrial massecuites. This paper describes the technical set-up, the methods of sampling and sample preparation, and of particle sizing and classification. Based on the experiences of Suiker Unie a couple of improvements were developed that have been realized when updating the system in 2015/16. Analyzing final Aproduct (Asugar) with a crystal size of approximately 600µm was not possible with the original system. When updating the system the opportunity was taken to extend the measuring range to include Asugar. The original light-microscope and automated XYstage were extended with new components: an XYstage controller, a high resolution camera and customized image analysis software, providing new methods of image acquisition and processing. The new hardware and software configuration now allows measurements in the crystal size range of 10µm to 2000µm. The sample preparation procedure was modified to avoid false grain formation especially in suspensions of low purity. Samples are now directly dispersed in a sucrose-fructose solution. The updated system and procedure show less variance in mean aperture (MA) and coefficient of variation (CV) compared to the formerly used method. Both seed crystals and the final Asugar can now be analyzed, thus covering the complete sugar crystallization process.

Comprehensive Particle and Fiber Testing for Cleanroom Wipers

1998 ◽  
Vol 41 (6) ◽  
pp. 19-25
Author(s):  
Himansu Battacharjee ◽  
Steven Paley
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Image Analysis ◽  
Sample Preparation ◽  
Measurement Technique ◽  
Single Sample ◽  
Composite Measure ◽  
Computerized Image Analysis ◽  
Scanning Electron ◽  
Number Of Particles

A microscopy-based measurement technique has been developed for accurately quantifying the total number of particles and fibers in all size ranges released from a cleanroom wiper during conditions of simulated use. The method uses both optical and scanning electron microscopy in conjunction with computerized image analysis for counting particles and fibers. The technique uses a single sample preparation for the extraction of both particles and fibers from the wiper. Seven cleanroom wiping products were examined using this measurement technique. The results are shown for the various size groupings of particles and fibers. A composite measure of contamination is presented. This work reveals that a cleanroon wiper may appear very clean in certain size categories and appear extremely dirty in others. The results of this study show that all size ranges of particles and fibers need to be examined when determining the total contamination risk posed by any cleanroom wiper.

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