<p>Red dots represent virulent data, blue dots represent attenuated data. The black line corresponds to the fixed burst model (<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.0040349#s4" target="_blank">Methods</a>, <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.0040349#pbio-0040349-e003" target="_blank">Equation 2 </a>) with large burst size <i>N</i>. The red line is the best fit to the virulent data and the blue line is the best fit to the attenuated data (density-dependent fission model, parameter values in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.0040349#pbio-0040349-t002" target="_blank">Table 2</a>).</p
<p>(A) Distributions of bacterial charges, <i>Q<sub>n</sub>,</i> during the course of infection. Dat...
<p>(A) shows the distribution of distance between consecutive foci along the track for a set of 197 ...
<p>A: the bacterial density joint probability distribution determined by solving the Fokker-Planck e...
<p>Inferred from stationary distribution of bacterial charges, assuming a gamma distribution of burs...
<p>The observed number of cells with bacteria (blue) compared with 95% credibility intervals (red) ...
(a) Experimental data and model fit for bacterial population over time, resulting from constant dosi...
<p>Comparison of the predictions of our models (gray-shaded areas, showing 95% CIs of model realizat...
<p><i>ϕ</i><sub><i>red</i></sub> corresponds to the ratio of red bacteria over the total number of b...
<p>The observed number of cells with bacteria (blue) compared with 95% credibility intervals (red) ...
<p>The observed number of cells with bacteria (blue) compared with 95% credibility intervals (red) ...
<p>The discs mark the experimental mean, while the shaded region shows the standard error of the mea...
<p>Dashed lines: burst model. Solid lines: continuous production model. Black dashed (solid) lines: ...
<p>Model fits are shown by the dashed (DT) and dotted (MTE) lines. The DT model does not make predic...
<p>The observed number of cells with bacteria (blue) compared with 95% credibility intervals (red) ...
<p>Si The vertical line indicates <i>K</i><sub><i>Dcrit</i></sub> = 6003 nM. The ranges of y axes we...
<p>(A) Distributions of bacterial charges, <i>Q<sub>n</sub>,</i> during the course of infection. Dat...
<p>(A) shows the distribution of distance between consecutive foci along the track for a set of 197 ...
<p>A: the bacterial density joint probability distribution determined by solving the Fokker-Planck e...
<p>Inferred from stationary distribution of bacterial charges, assuming a gamma distribution of burs...
<p>The observed number of cells with bacteria (blue) compared with 95% credibility intervals (red) ...
(a) Experimental data and model fit for bacterial population over time, resulting from constant dosi...
<p>Comparison of the predictions of our models (gray-shaded areas, showing 95% CIs of model realizat...
<p><i>ϕ</i><sub><i>red</i></sub> corresponds to the ratio of red bacteria over the total number of b...
<p>The observed number of cells with bacteria (blue) compared with 95% credibility intervals (red) ...
<p>The observed number of cells with bacteria (blue) compared with 95% credibility intervals (red) ...
<p>The discs mark the experimental mean, while the shaded region shows the standard error of the mea...
<p>Dashed lines: burst model. Solid lines: continuous production model. Black dashed (solid) lines: ...
<p>Model fits are shown by the dashed (DT) and dotted (MTE) lines. The DT model does not make predic...
<p>The observed number of cells with bacteria (blue) compared with 95% credibility intervals (red) ...
<p>Si The vertical line indicates <i>K</i><sub><i>Dcrit</i></sub> = 6003 nM. The ranges of y axes we...
<p>(A) Distributions of bacterial charges, <i>Q<sub>n</sub>,</i> during the course of infection. Dat...
<p>(A) shows the distribution of distance between consecutive foci along the track for a set of 197 ...
<p>A: the bacterial density joint probability distribution determined by solving the Fokker-Planck e...