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Spectradyne LLC, All rights reserved
30
Version 2.5.0 Revision 3, July 2020
Refine & Filter workflow step the multiple files are combined into a single entity for comparison
with other sample measurements.
The two main goals of this step in the workflow are:
1.
Refine diameter and concentration scaling as necessary.
2.
Filter the particle set to keep only high-confidence detection events and eliminate false
positives.
2.1
Refine the Diameter and Concentration Scaling of the CSD
Particles are detected and measured in an analysis cartridge that is cast from a master mold.
Different cartridges may be cast from different molds, and the analysis software automatically
compensates for variation between cartridges using a mold-specific calibration factor. This factor
establishes the correct scaling for the diameter axis of the CSD in standard measurement
conditions. Certain factors, (e.g., composition of the sample diluent), may cause slight deviations
from the default calibration, and the user may wish to refine the diameter scaling to align known
features of the CSD (e.g., a peak of calibration particles) with the appropriate diameter or
concentration.
Procedure for Refining and Scaling
➢
Select the Quantification tab in the Spectradyne Viewer
➢
In the Auto Scaling frame, use the Rescale Last Fit entries to scale the diameter and
concentration. The value of the entry multiplies the CSD; for example, a Diameter refine
factor value of 1.02 would
‘stretch’ the diameter scale by a factor of 1.02, and a
population
of particles originally centered at 100 nm would shift to a new center of 102 nm.
➢
Occasionally, more challenging samples may require adjustment of the concentration
scaling in an analogous way, or in rare cases the Linearizer Offset. The Linearizer Offset
adjusts the built-in, mold-specific linearizing factor in an additive way; e.g., a value of 2
increases the default value by 2 units.
Note: Treating multiple datasets as one for Refine and Filter
➢
In the QuickView Processed Data frame of the Spectradyne Viewer, use the
Combined plot mode to display data from all the loaded Stats files as a single
dataset.