Tracking cell using DP. A. 5 frames extracted from an image sequence showing the results of the preprocessing step (Laplacian of Gaussian filter) and the reduced version of the images. Cells appear as particles consisting of a few pixels. The red line represents an example of a trajectory. B. Schematic representation of the admissible range for the dynamic programming (DP) algorithm. An example of a possible trajectory inside the admissible range is shown in blue. In this simplified diagram only one of the spatial dimensions (X) is shown; in the real implementation there exist two spatial dimensions X and Y, which define the admissible range as a volume. The slope of the dotted boundaries of the admissible range corresponds to the maximum velocity of the particles computed from the maximum displacement value Δ. C. Example of a cell trajectory overlaid over the first frame of the sequence. The trajectory is staircase due to reduction of image.