Reconstruction of cellular variability from spatiotemporal patterns of Dictyostelium discoideum

Variability in cell properties can be an important driving mechanism behind spatiotemporal patterns in biological systems, as the degree of cell-to-cell differences determines the capacity of cells to locally synchronize and, consequently, form patterns on a larger spatial scale. In principle, certain features of spatial patterns emerging with time may be regulated by variability or, more specifically, by certain constellations of cell-to-cell differences. Similarly, measuring variability in a system (i.e. the spatial distribution of cell-cell differences) may help predict properties of later-stage patterns

Snapshots of experimental data sets analyzed on their spatial distribution in cell-cell differences (bar size 2 mm)

<p><b>Copyright information:</b></p><p>Taken from "Reconstruction of cellular variability from spatiotemporal patterns of "</p><p>http://www.nonlinearbiomedphys.com/content/1/1/10</p><p>Nonlinear Biomedical Physics 2007;1():10-10.</p><p>Published online 30 Aug 2007</p><p>PMCID:PMC2034575.</p><p></p> Time points are indicated above the array of snapshots. In addition the spatial size the experimental data differ in their resolution: (A) and (B) 22.6 pixels/mm, (C) 68.2 pixels/mm, (D) 68.0 pixels/mm, (E) 38.6 pixels/mm, (F) 53.3 pixels/mm. As a rule of thumb at a cell density of 6.172·10cells/one can expect that 1 pixel contains approximately 12 cells in (A) and (B), 1 cell in (C) and (D), 4 cells in (E) and 2 cells in (F)

Same as Figure 4, but for the spatiotemporal patterns under the influence of noise, as shown in Figure 5

<p><b>Copyright information:</b></p><p>Taken from "Reconstruction of cellular variability from spatiotemporal patterns of "</p><p>http://www.nonlinearbiomedphys.com/content/1/1/10</p><p>Nonlinear Biomedical Physics 2007;1():10-10.</p><p>Published online 30 Aug 2007</p><p>PMCID:PMC2034575.</p><p></p

Correlation coefficients of Ωand , respectively, between the different intervals of experimental data

<p><b>Copyright information:</b></p><p>Taken from "Reconstruction of cellular variability from spatiotemporal patterns of "</p><p>http://www.nonlinearbiomedphys.com/content/1/1/10</p><p>Nonlinear Biomedical Physics 2007;1():10-10.</p><p>Published online 30 Aug 2007</p><p>PMCID:PMC2034575.</p><p></p> On the left-hand side of each image segment one can see the absolute values of correlation coefficients between intervals one and two (Corr(1,2), cf. Figure 10). The columns on the right-hand image parts show correlation coefficients between the intervals normalized to Corr(1,2). The notation (A) to (F) corresponds to that of Figure 9