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.
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 .