SYSMEX XE-5000, Инструкция по эксплуатации, Страница: 246 / 262

CHAPTER 11 Technical Information
11-28 Sysmex XE-5000 Instructions for Use
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Particle size distribution expression
The impression one receives of a particle size distribution can
vary greatly, depending on the way in which it is expressed.
The width of a particle size distribution requires particular
attention, because it can appear completely different,
depending on the expression used for the distribution.
The XE-5000 utilizes a conventional particle size distribution
expression (normal expression) and a particle size distribution
expression method that enables the user to obtain a large
amount of information from the particle size distribution
intuitively (normal cell size range expression).
Normal expression
With the peak of the particle size distribution set as “full scale”
(maximum height when the particle size distribution is
displayed), this method of expression normalizes and
expresses the distribution.
• Features:Patterns of particle size distributions whose counts
are different can be viewed on the same scale.
Widths of particle size distributions can be
compared intuitively.
• Displays supported: RBC and PLT particle size distributions
Normal cell size range expressions
With the peak of the normal cell size range found
experimentally set as full scale rather than the peak of the
particle size distribution set as full scale (maximum height
when the particle size distribution is displayed), this method of
expression normalizes and expresses the distribution. At the
same time, it repeatedly expresses the normal range of the
distribution.
If, however, the peak of the particle size distribution is higher
than the peak of the normal cell size range, the expression is
made with the distribution peak set as full scale. In this case,
the normal cell size range is proportionally smaller than the
height of the particle size distribution peak.
A normal cell size range can be obtained by superposing the
particle size distributions of a large normal population of blood
samples and then utilizing the region from the 10th percentile
to the 90th percentile.
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