26
LISST-
HOLO User’s Guide
If you wish, you can change the Reconstruction Parameters.
Min Depth
indicates where to start reconstructing images. A value of 0
mm will start reconstruction at the receiving window of the LISST-HOLO.
Max Depth
indicates where to stop reconstruction. A value of 50mm will
stop the reconstruction at the opposite window (transmit window) of the
LISST-HOLO.
Step Size
determines how many millimeters apart the
reconstructed images will be.
In the example to the left, the entire sampling volume will be
reconstructed (0-50mm), at an interval of 0.5mm. This will result in 101
reconstructed images.
Note that the processing time increases linearly with the number of
Steps. Upon processing, all particles in all intervals (slices) will be
combined into one focused image.
The next step is to select output options.
A csv file containing the size distribution for each hologram is written by
default, even if none of the check boxes or the right are selected.
During hologram reconstruction, an image containing both in focus and
out of focus particles is created at every step.
Check ‘Save
reconstructed slices’ if all slices are to be saved.
‘Save Dep/Mon Images’ saves depth and montage images of particles.
These are composite images that show all the detected particles in one
2D plane. Examples are show on page 32.
The ‘Save particle statistics (MAT)’ option creates a particle statistics file
in MATLAB .mat format for every image processed. It will contain
information about each particle detected in the image. See page 33 for
details.
The ‘Save particle statistics (CSV)’ option creates a particle statistics file
in Comma-separated values (ASCII) format for every image processed.
It will contain the bulk properties of the image. See page 32 for details.
The ‘Save generated background’ option saves the background image
used for processing
if
background files are selected (background
removal is discussed later in this section).
‘Show data visualization’ will show continually updated plots of total
volume concentration, number of particles per hologram, temperature,
and depth. This option is the fastest way to visualize data after it has
been collected.
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