Lonza CytoSMART 2, Системное руководство

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5.3 Image Analysis Settings
Depending on the size and morphology of your cells it may make
sense to change the image analysis settings. You can do so by
changing the tracking settings to a different grade. This will alter the
algorithm used to calculate confluency.
To edit the image analysis settings, select the “Edit” button (16)
in the graph under the time-lapse video. A dialog box that enables
changing the tracking settings will appear.
Tracking Settings
Select a new tracking grade in the drop down menu (17). After
selecting a grade, the system will provide a preview of your selected
snapshot. By selecting the checkbox “Tracking” (18) you can switch
between the tracking images and the original images.
Grade Selection
Choose the tracking grade that best fits your cells. You can select
a predefined tracking grade (20) by selecting the drop down menu
(17).
If none of these options fit your desired tracking grade, please select
“-Custom-“ in the drop down menu or select the “More” button (19).
You can use the sliders to create custom settings. The green markings
of recognized cells will adapt directly to any slider change.
The tracking grade consists of three parameters:
Block size (Number of Pixel) (21):
– The smallest element of the image that is individually
processed
– The smaller the block size is, the more detailed cell structures
are recognized as part of a cell
Threshold (22):
– Adjustment of cell recognition versus background
– Lower thresholds result in greater cell recognition
Cap level (23):
– Lower cap levels result in more structures being identified as
cells
With the slider (24) you can navigate to different project snapshots.
The tracking grade will be refreshed automatically. Cell coverage is
shown for the current snapshot (25).
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