pycelegans-2.0
PyCelegans
Parallel image processing code that identifies C. elegans in images.
Includes generative statistical algorithm for complex postures.
Includes example scripts for post-processing.
Contact
David Biron Assistant Professor Department of Physics dbiron@uchicago.edu
Note
This code is an ongoing research project. You are encouraged to contact us before installing it.
The requirements to run the code are a Python 2.7 environment and the addons NumPy, SciPy, PyMorph, Scikits-Image, and Cython. MPI4Py is required for multi-node parallelism.