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saspt

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saspt is a tool for analyzing single particle tracking (SPT) experiments. It relies on state arrays, a class of variational Bayesian models that identifies diffusing subpopulations in the presence of large measurement error. It is particularly useful for complex samples with many subpopulations with distinct dynamics.

See the Documentation for more info.

See the examples directory for usage examples.

Install

Method 1 (recommended): install from PyPI:

  pip install saspt

Method 2: install from source

  git clone https://github.com/alecheckert/saspt
  cd saspt
  pip install -e .