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With the present thesis a method for the analysis of zooplankton field<br />

samples by means of quantitative automated image analysis is<br />

introduced. The procedure served for the investigation of net samples<br />

collected during the "Meteor - Equator - Expedition 1979".<br />

The image analysis method has been developed for the "Quantimet 720"<br />

system produced by "Cambridge Instruments". A detailed description of<br />

the system's structure and its mode of operation is given. For the<br />

investigation of the zooplankton samples the system was equipped with<br />

a "Tessovar" microscope by Zeiss that enabled measurements by a 2-fold<br />

and a 3.2-fold magnification. Using this system a quick, precise and<br />

objective measurement of planktonic organisms is possible. Only copepods<br />

and their developmental stages were investigated. The geometrical<br />

parameters, length and area, were used for the measurements. Assuming<br />

that the ideal shape of a copepod equals an ellipsoid, the individual<br />

volume was calculated. The processing of the automatically stored raw<br />

data was carried out with specially developed computer programs. With<br />

these programs a statistical analysis and the presentation of results<br />

in the form of size - frequency - distributions are possible.<br />

The potential measurement speed of the image analysis system was<br />

reduced to eliminate errors caused by artefacts arising from the<br />

adhering or overlapping of single organisms. Furthermore a counting<br />

chamber was designed to allow the repositioning of the organisms<br />

during measurement. The operator also has the possibility to append<br />

additional information in the form of indices to the measured data.<br />

The copepods have been differentiated into 4 fuctional groups:<br />

floaters, swimmers, wrigglers and nauplii. A clear visual distinction<br />

between these groups is easily made via the monitor and so a quick<br />

index assignment is possible.<br />

The described system works more slowly than the coulter - counter -<br />

method but exceeds the traditional microscopic analysis in speed. Its<br />

information content surpasses that of the coulter - counter - method<br />

and is comparable with information gained by traditional microscopic

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