Stochastic simulation of cell populations proliferation
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README.md Update README.md Feb 8, 2019
cell.py
cells_population.py Add files via upload Jan 26, 2018
create_stack.py
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procell.py New version with GUI Feb 8, 2019
simulator.py

README.md

ProCell

ProCell is a modeling and simulation framework to investigate cell proliferation dynamics that, differently from other approaches, takes into account the inherent stochasticity of cell division events.

ProCell uses as input:

  • a histogram of initial cell fluorescences (e.g., GFP signal in the population);
  • the number of different sub-populations, along with their proportions;
  • the mean and standard deviation of division time for each population;
  • a fluorescence minimum threshold;
  • a maximum simulation time T, expressed in hours.

The output produced by ProCell is a histogram of GFP fluorescence after time T.

Installing and using ProCell

This part is still under development. I am setting up the GITHUB repository and currently creating a PyPI package to simplify the installation process.

Meanwhile, you can just download the source code and launch ProCell's GUI (python gui/gui.py). A tutorial about modeling, calibration and simulation will be published soon.

More info about ProCell

If you need additional information about ProCell please write to: nobile@disco.unimib.it.