Zeiss LSM 880, Руководство по эксплуатации

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CHAPTER 2 - MACROS AND VISUAL BASIC
LSM 880 Visual Macro Editor ZEISS
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Process Action Blocks
This block allows to do image calculation using the pixel intensities of the
image. The operators for the formulas that can be used are described in the
Ratio Dialogue within the Process Menu. The formulas set up in the Image
calculation window can be copied and pasted into the properties list of the
Visual Macro Editor.
For calculations using two different sources the Calculate block with two
possible inputs is used. The calculation starts when both inputs have arrived.
Within program loops the next calculation will start when the inputs have
arrived again in the same sequence as the first time. The operators for the
formulas that can be used are described in the Ratio Dialogue within the
Process Menu. The formulas set up in the Image calculation window can be
copied and pasted into the properties list of the Visual Macro Editor.
The input image will be copied to a new image format that can be defined by
changing the values of the listed properties.
Using this block enables to copy one image into another with the coordinates
and settings put into the properties list. The destination image is connected to
the left input; the source image is connected to the right input.
The subsequently arriving images will be concatenated according to the
coordinate setting and treated as one image. A subsequent image display will
be updated each time a new image arrives.
The second concatenate action block allows concatenating images from two
different acquisition blocks.
The block uses an input image (left input) and choses a region within that
image according to a mask (right input) that has been defined in the Mask
action block (see below). Within that mask region of a selected channel, one of
the following result values can be selected which is then assigned to the chosen
variable in the corresponding assignment action block:
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Mean intensity: Equals mean intensity within mask region
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Standard deviation: Equals standard deviation of intensity distribution
within mask region
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Number Pixels: Number of pixels that constitute the mask region
−
Area (µm x µm): Area of mask region
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Minimum: Minimum intensity value found within mask region
−
Maximum: Maximum intensity value found within mask region