CONFOCOR
3
Carl Zeiss
Action Buttons
ConfoCor 3
98 M60-1-0025
e
02/2010
Reuse
With a click on the
Reuse
button, the configuration used to record the selected measurement will be
loaded.
Reload
With
Reload
the current active measurement will
be reopened. If raw data have been stored and
attached to the measurement the
Correlate
window will appear (Fig. 100).
You can redefine the following settings:
−
Automatic dust filter
−
Correlator settings
−
Count rate settings
−
Photon count histogram settings
Note that only those measurements will be
recalculated with the new settings which
have been selected in the original table. All
other measurements will open unchanged.
To select all measurements use the table
context menu opened with a right mouse
click in the table and choose the line
Select
all
.
Note if no raw data have been stored or are
associated with the .fcs file or the
measurement, an error message telling this
fact will be displayed (Fig. 101). No
manipulation of the data is possible. Click
Ok
to continue working with the unmodified
data set.
Automatic Dust Filter
If the
Automatic cut
box is checked, you can type in a threshold in % in the
Automatic cut ratio
display box. This sets the threshold intensity for an electronic dust filter. The value (0 … 100) will define
the threshold in percentage. A default value of
10 %
can be selected by pressing the button on the right.
If the integrated count rate over a certain count interval will exceed the average count rate by that
threshold, this special interval is discarded for correlation analysis. For example, if the system detects a
count rate in a certain time interval that exceeds the average count rate by over 30 % and the threshold
was set at 30, this interval will be discarded for correlation analysis. The time intervals before and after
the discarded region are separately correlated and the results averaged. These holds also true, if more
than one region is discarded. In this case all the single regions that are separated by cut our regions are
separately correlated and the resulting average will be displayed.
Fig. 100
Correlate window
Fig. 101
Correlate Error window
