135
Dragonfly 2
camera connection
2 5 .2 0 m m
7.00 mm
3.00 mm
Light
source
connection
Objective
mm
28.00
11.78 mm
Edmund
49275-J lens
Edmund 32600-J
cube beam splitter
Edmund
47871-J lens
Edmund
47694-J lens
Automatic Single-Cell Transfer Module
FIGURE 7.5
Compact vision system.
• Start the first camera and detect the position of single cells in the
cell container.
• Align the glass microtube to the cell position and begin suction
(ISMATech rotary pump).
• Toggle to the second camera and count the number of cells that pass
the cross section in the PDMS chip.
• If the desired number of cells passes the cross point, switch valves
and let the cells flow to the next module.
• Switch valves and cameras if a second group of cells is required.
A background subtraction algorithm was employed throughout the
detection phase in order to eliminate redundant artifacts and to surpass
optics-based aberrations. The background subtraction method was essentially applied to moving regions, and the object positions were automatically found after input images were compared with a background image.
In this way, it is also possible to detect and track multiple objects. After the
edge is identified, the algorithm makes a circular approximation to the edge
of the object and draws a circle around it, which is taken as the diameter of
the object.
Dragonfly 2
camera connection
2 5 .2 0 m m
7.00 mm
3.00 mm
Light
source
connection
Objective
mm
28.00
11.78 mm
Edmund
49275-J lens
Edmund 32600-J
cube beam splitter
Edmund
47871-J lens
Edmund
47694-J lens
Automatic Single-Cell Transfer Module
FIGURE 7.5
Compact vision system.
• Start the first camera and detect the position of single cells in the
cell container.
• Align the glass microtube to the cell position and begin suction
(ISMATech rotary pump).
• Toggle to the second camera and count the number of cells that pass
the cross section in the PDMS chip.
• If the desired number of cells passes the cross point, switch valves
and let the cells flow to the next module.
• Switch valves and cameras if a second group of cells is required.
A background subtraction algorithm was employed throughout the
detection phase in order to eliminate redundant artifacts and to surpass
optics-based aberrations. The background subtraction method was essentially applied to moving regions, and the object positions were automatically found after input images were compared with a background image.
In this way, it is also possible to detect and track multiple objects. After the
edge is identified, the algorithm makes a circular approximation to the edge
of the object and draws a circle around it, which is taken as the diameter of
the object.