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| A high level of functionality with a priority placed upon ease-of-use is built into the FPIA-3000 software. Sysmex has vast experience and expertise in programming and testing such analysis software which means you get the best out of the instrument and the data it generates. |
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A configurable record view allows you to view a summary of the measurement results and define the information which is displayed for each record. Selecting a record or multiple records allows you to view the details (scattergram graphs, particle images, raw statistical data etc) associated with each record.
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The results of a single analysis are represented in a 3 graph format – a particle size distribution (green), a particle shape distribution (red) and a scattergram plot of size against shape (blue). The statistical parameters associated with each distribution (mean, mode, lower, median and upper percentile values etc) are also displayed.
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Images of all particles are saved. These images can be viewed and manipulated through the particle viewer. The images can be magnified and sorted on any size or shape parameter allowing the operator to quickly and easily identify anomalies – perhaps agglomerates or the presence of unexpected foreign particles for example.
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| Along with detailed data on individual records the software has the ability to further manipulate the data and compare multiple records to identify subtle differences and trends of key parameters |
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View up to 8 scattergrams side by side for a quick visual comparison of results. This allows the operator to spot gross differences or trends quickly without having to deeply probe the statistics behind each record. Any anomalies or significant differences can be investigated further by drilling down deeper into the raw data.
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Overplot multiple records for a more detailed comparison. Data is displayed on three graphs – a size frequency distribution, a shape frequency distribution and a size cumulative distribution. The cumulative distribution plot is particularly useful for assessing reproducibility during the method development phase of an analysis for example.
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Plot multiple measurements and compare the trend of parameters. The displayed parameters are userdefinable and cross-measurement statistics are calculated such as mean of means, standard deviation of means etc. This ability to plot trends enables data presentation in a form which allows immediate action to be taken by the operator as it avoids the need to export data for any further manipulation.
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