
Help! There is a comet in my computer! 10
Figure 4. Information on an image is coded as grey values. An image of a comet is composed of
separate pixels (A), where each pixel has a grey value, as shown in B for the small image area
outlined in red in A. The model image is an 8-bit image with available grey values 0-255. The
relationship between the grey value of a pixel on the image and light intensity that a camera
element detects (emitted from DNA present in one small dot in the comet) is linear (C).
3.2 Segmentation
Next we need to determine which parts of the image represent the objects that we wish to
measure. This step of image analysis is called segmentation, and the regions of the image
that are measured are called regions of interest or ROI. With segmentation, our image is
divided into segments: objects (ROI) and background (all area outside ROIs).
For measurement of the comet parameters, we need to define two regions of interest in the
image: the head and the tail. There are several ways to define ROIs. We can draw boxes
around the regions, as shown in Figure 5A (box segmentation). Some comet software
packages can do a closer fitting of the head and the tail region using more sophisticated
(semi-)automatic detection of the head and the tail (Figure 5B; close-fitting segmentation).
0
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Grey values
C
Amount of DNA
Intensity of emitted light
A
240 221
221
221
46 41
41
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41
B
0
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Grey values
C
Amount of DNA
Intensity of emitted light
A
240 221
221
221
46 41
41
41
41
B
AA
240 221
221
221
46 41
41
41
41
B
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