Document Detail


Comparison of particle size spectrum determination from images made using manual and automated image analysis.
MedLine Citation:
PMID:  18975851     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A digital processing method is described for determining the size spectra of sub-micron particles in natural water from transmission electron microscopy images of particles collected by ultracentrifugation, and is compared with traditional manual counting and size measurement methods. The processing method is based on the use of the MatLab Image Processing toolbox. The manual method was found to underestimate the population of particles smaller than 40 nm equivalent radius, primarily because of a "fatigue factor" in counting the very large numbers of particles in this size range. By contrast, the manual method produced higher particle counts of particles >50 nm radius, primarily because manual counters tend to group together particles as aggregates that digital processing indicates are not contiguous. The digitally-produced size spectrum for a river water sample was found to closely follow a power-series law down to the smallest particle size.
Authors:
J P Kim; U Nowostawska; K A Hunter
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Environmental technology     Volume:  29     ISSN:  0959-3330     ISO Abbreviation:  Environ Technol     Publication Date:  2008 Nov 
Date Detail:
Created Date:  2008-11-03     Completed Date:  2009-01-14     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9884939     Medline TA:  Environ Technol     Country:  England    
Other Details:
Languages:  eng     Pagination:  1191-8     Citation Subset:  IM    
Affiliation:
Department of Chemistry, University of Otago, Box 56, Dunedin, New Zealand.
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MeSH Terms
Descriptor/Qualifier:
Image Processing, Computer-Assisted / methods*
Microscopy, Electron, Transmission
Particle Size*
Reproducibility of Results
Ultracentrifugation
Water / analysis*
Chemical
Reg. No./Substance:
7732-18-5/Water

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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