A fast and cross-platform image analysis framework for fluorescence time-lapse microscopy and bioimage informatics.
Copyright (c) 2006 - 2018 Gerlich Lab, IMBA Vienna, Austria
The software is released under the terms of LGPL.
:warning: This project is orphaned and not actively developed anymore. Windows binaries might not work on Win10
The Extension depends on libtiff and libvigra. Adopt the library/include paths in the setup.cfg accordingly. On Unix (including OSX) like systems type:
python setup.py build_ext --inplace
There's also am make file:
make inplace- install the C++-extenstion inplace ad builds *.rc and help files
make dmg- Binary installer for MacOSX
python setup.py install --prefix=<path-to-prefix>
Note: If you are using Windows an can not use the make fils, removethe build- and dist directories and also the file ./cecog/ccore/_cecog.pyd
The demo data contains:
The demo data allows to try out image image segmentation, feature extraction, classifcation. To try ou also tracking, event selection and error correction, you need to download the full data set (206 frames, ~900Mb) from the cellcogition website