Downloads :
image0.bmp
image1.bmp
centers_list_img.m
two_frame_mapping.m
contract_mapping.m
velocity_plot.m
T1_event.m
T1_display.m
Particle Tracking
Once the positions of the centers of the cells(particles) in two successive images are known, the function two_frame_mapping.m
(download) creates a mapping between the numeric
labels of the particles between the two frames based on proximity and relative size.In addition, multiple
mappings may be contracted to find displacements over a large sequence of data through the program contract_mapping.m
(download):
> new_mapping=contract_mapping(mapping_1,mapping_2)
Displacement vectors, velocities
The displacement between particles mapped to each other
may be used to compute the velocities(by dividing the displacement with the time between two frames) of the particles. All these steps are
consolidated in the program velocity_plot.m(download).
> velocity_plot
T1 events
The T1-events are marked by regions where neighbor switching occurs. The program T1_event.m(download)
computes regions where the nearest-neighbors (described by 'N_f') are replaced by next nearest neighbors ('NN_i'). T1_display(download)
uses the sample images(image0.bmp, image1.bmp), and T1_event.m to display the neighbor switching before and after the T1_event.
> nbr_slp=T1_event(N_f,NN_i);
> T1_display
Conventionally, a T1-event is characterized by neighbor switching between 4 cells. The images used only display two of the cells participating in the event.
Extracting the other two cells is done by instead computing:
> nbr_slp=T1_event(N_i,NN_f);
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