Single Particle Detection and Size Analysis with Statistical Methods from Particle Imaging Data

The application of imaging techniques for particle characterization in the micrometer range is often advantageous under process conditions. Particle imaging analysis of disperse systems not only allows the evaluation of the particle size, but also the concentration of particles and particle shape. U...

Full description

Saved in:
Bibliographic Details
Published in:Particle & particle systems characterization 2006-08, Vol.23 (2), p.165-169
Main Authors: Wessely, Benno, Gabsch, Stephan, Altmann, Justus, Babick, Frank
Format: Article
Language:English
Subjects:
concentrated suspensions
dynamic image analysis
extinction measurement
particle size distribution (PSD)
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The application of imaging techniques for particle characterization in the micrometer range is often advantageous under process conditions. Particle imaging analysis of disperse systems not only allows the evaluation of the particle size, but also the concentration of particles and particle shape. Under process conditions online imaging techniques have to deal with high particle concentrations and sometimes with high velocities. Two general principles for the evaluation of particle images are discussed in this paper: particle analysis by means of object identification and a statistical method to analyze overlapping clusters of particles. Imaging techniques are versatile methods for particle characterization in the micrometer size range. This paper compares two very different imaging techniques, namely identification of individual particles and a statistical method to analyze even overlapping clusters of particles in higher concentrated systems.
ISSN:0934-0866
1521-4117
DOI:10.1002/ppsc.200601034