A software which implements the generalized framework of extracting parameters (e.g. locations and properties of objects in an image) by full reconstruction of experimental images. The general framework is built on combining components (e.g. illumination field, background, particles, point-spread function) into a model which is then optimized given data.
Very straightforward, simply use distutils' setup.py:
python setup.py install
Testing is done through nose, and can be performed with:
nosetests
Currently, the documentation is hosted at https://peri-source.github.io/peri-docs/