Shear Induced Diffusion of Platelets revisited

<p>* Dataset and python files (Python3) to reproduce all figures and simulations&nbsp;presented in the manuscript.</p> <ul> <li><em>&nbsp;ANALYSIS of NPFEM DATA:</em> <ol> <li><strong>FILES:</strong> Data_npFEM.zip (separate files of platelets trajectory); analysis_npFEM.py (python code to reproduce the figures presented in the manuscript); module_npFEM.py (python module with functions used in analysis_npFEM.py</li> <li><strong>EXECUTION:</strong> python3 analysis_npFEM.py arg1 arg2 arg3</li> <li><strong>ARGUMENTS:</strong> arg1 (path to the data); arg2 (0 or 1 ; &quot;1&quot; means that the figure is reproduced); arg3 (0 or 1 ; &quot;1&quot; means that the figure is reproduced);</li> <li><strong>EXEMPLE:</strong> To execute the code with the second figure reproduced only; python3 analysis_npFEM.py Data_npFEM/ 0 1</li> <li><strong>REQUIREMENTS: </strong>pandas,<strong>&nbsp;</strong> numpy, scipy, os, powerlaw (<a href="https://doi.org/10.1371/journal.pone.0085777">https://doi.org/10.1371/journal.pone.0085777)</a></li> </ol> </li> </ul> <p>&nbsp;</p> <ul> <li>ANALYSIS of STOCHASTIC MODEL: <ol> <li><strong>FILES:</strong> Data_stochastic_model.zip (contains data from npFEM used in the analysis of the stochastic model); analysis_stochastic_model.py (python code to reproduce the figures presented in the manuscript); module_stochastic_model.py (python module with functions used in analysis_stochastic_model.py</li> <li><strong>EXECUTION:</strong> python3 analysis_npFEM.py arg1 arg2 arg3 arg4 arg5 arg6</li> <li><strong>ARGUMENTS:</strong> arg1 (path to the data); arg2 (0 or 1 ; &quot;1&quot; means that the figure is reproduced); same for arg3, arg4, arg5 and arg6</li> <li><strong>EXEMPLE:</strong> To execute the code with the fourth figure reproduced only; python3 analysis_stochastic_model.py Data_stochastic_model/ 0 0 0 1 0</li> <li><strong>REQUIREMENTS: </strong>numpy, scipy, random, powerlaw (<a href="https://doi.org/10.1371/journal.pone.0085777">https://doi.org/10.1371/journal.pone.0085777)</a></li> </ol> </li> </ul>