Analyzing batches and multi-batches – Luminex IS Version 2.3 User Manual

Page 82

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Luminex IS Software Manual for Version 2.3

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MAP Technology

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PN 89-00002-00-110 Rev. B

After responding to the confirmation dialog boxes, regarding
standards or controls, a Save As dialog box opens.

4. Click the drop-down arrow to select the Save in: location where

you want to save the lot information.

5. Enter the lot file name into the File Name: box.

6. Click Save. The system saves the lot.

Analyzing Batches and
Multi-Batches

You can analyze an acquired batch using the analysis features of
Qualitative and Quantitative algorithms. The algorithm is determined
by the kit manufacturer during template creation.

A Qualitative analysis determines results as either positive or
negative, reactive or non-reactive, and so on. The system is flexible
in defining custom result ranges, such as negative, low positive, high
positive, and so on. Refer to the Luminex Developer Workbench
Guide Version 2.3 for additional information. All determinations are
based on a single standard.

A Quantitative analysis determines the sample concentrations from
standard curves using regression methods, such as 4P or 5P logistic
curve fitting.

There are two main assay types: non-competitive (such as a “capture
sandwich”) and competitive. In a non-competitive assay, the slope of
a concentration versus Mean Fluorescent Intensity (MFI) standard
curve is a positive number. That is, low concentrations result in low
MFIs and high concentrations result in high MFIs. Conversely,
competitive assays generate a standard curve with a negative slope,
the endpoints of which are high MFI/low concentration on the left,
and low MFI/high concentrations on the right.

You may direct the system to acquire samples in replicate regardless
of batch type. For qualitative batches, replicate values are averaged
and the reported interpretation is determined from this replicate
average.

Replicates in quantitative batches are based on a standard curve that
is generated by either the “Fit of all standards” or “Mean of
replicates”. The chosen curve fit is defined by the assay developer
when defining an assay template. The default is “Fit of all
standards”. Unknown samples are calculated from the standard
curve. Replicate samples are averaged to determine the reported
quantitative result denoted as “AVG”.

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