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JPR Advance Access originally published online on October 14, 2009
Journal of Plankton Research 2009 31(12):1505-1516; doi:10.1093/plankt/fbp094
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© The Author 2009. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oxfordjournals.org

Comparison between automated analysis of zooplankton using ZooImage and traditional methodology

Astthor Gislason* and Teresa Silva

Marine Research Institute, Skulagata 4, PO Box 1390, 121 Reykjavik, Iceland

* CORRESPONDING AUTHOR: astthor{at}hafro.is

Received on April 7, 2009; accepted on September 15, 2009


  Abstract

The objective of this study was to evaluate the accuracy of the ZooImage image analysis system for taxonomic classification of zooplankton samples. For this purpose, automated analysis with the ZooImage software was compared with traditional analysis, using zooplankton samples collected in the Iceland Sea in July 2006. When compared with the traditional methodology, ZooImage was able to classify zooplankton into main taxonomic entities (size classes and families or genera in some cases), while being less successful in identifying the zooplankton into species. Other important information, that is difficult and time consuming to obtain by traditional methods such as biomass and size distributions are, however, easily obtained with ZooImage. The automated analysis takes much less time than the traditional methods. While the study confirms that ZooImage is a promising tool for rapidly analysing zooplankton samples, it is also clear that the traditional approach will be needed in future investigations, particularly studies addressing zooplankton community structure, development and life history.

Corresponding editor: Mark J. Gibbons


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