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version 2.5.2
Release Notes
- Fixed issues with demo3D04 to demo3D07 due to nonexistent field.
- Centrosome model class and type has been update to reflect refactoring.
- Adjusted directory path for demo3D20.
- Updated 2D and 3D demos to match documentation.
- Fixed error in demo3D15 where synthetic images were empty.
Downloads
Documentation
- To read the documentation online, click here.
Requirements
- Matlab 2014b or newer
- Image Processing Toolbox for Matlab
- Statistics and Machine Learning Toolbox/Statistics Toolbox
- SymBiology Toolbox
- Curve Fitting Toolbox
Validating Suite
CellOrganizer releases for the 2.0 family are continuously tested using a set of
- public tests using the Matlab Unit Testing Framework
- private tests for compatibility with old releases of Matlab
Compatibility
CellOrganizer releases for the 2.0 family have been tested on
- Matlab 2015a/Ubuntu 12.04
- Matlab 2014a/Ubuntu 12.04
- Matlab 2016a/MacOSX El Capitan
version 2.5.1
Release Notes
- Models have been retrained and reflect CellOrganizer updated model structure.
- Demos have been updated to have consistent documentation.
- Issues in 3D diffeomorphic training have been resolved.
- Outputs corrected in demos.
- Some demos were refactored.
Downloads
Documentation
- To read the documentation online, click here.
Requirements
- Matlab 2014b or newer
- Image Processing Toolbox for Matlab
- Statistics and Machine Learning Toolbox/Statistics Toolbox
- SymBiology Toolbox
- Curve Fitting Toolbox
Validating Suite
CellOrganizer releases for the 2.0 family are continuously tested using a set of
- public tests using the Matlab Unit Testing Framework
- private tests for compatibility with old releases of Matlab
Compatibility
CellOrganizer releases for the 2.0 family have been tested on
- Matlab 2015a/Ubuntu 12.04
- Matlab 2014a/Ubuntu 12.04
- Matlab 2016a/MacOSX El Capitan
version 2.5
Release Notes
- Refactored the process by which images are converted to parameterizations to improve performance and
facilitate
adding new models.
- Refactored and simplified demos to make it easier to use as templates for user scripts.
- Included methods to download Murphy Lab 2D/3D HeLa and 3D 3T3 image collections rather than downloading them
each
time demos run.
- Faster training and synthesis for 3D diffeomorphic models.
- Miscellaneous bug fixes and performance improvements.
Downloads
Documentation
- To read the documentation online, click here.
Requirements
- Matlab 2014b or newer
- Image Processing Toolbox for Matlab
- Statistics and Machine Learning Toolbox/Statistics Toolbox
- SymBiology Toolbox
- Curve Fitting Toolbox
Validating Suite
CellOrganizer releases for the 2.0 family are continuously tested using a set of
- public tests using the Matlab Unit Testing Framework
- private tests for compatibility with old releases of Matlab
Compatibility
CellOrganizer releases for the 2.0 family have been tested on
- Matlab 2015a/Ubuntu 12.04
- Matlab 2014a/Ubuntu 12.04
- Matlab 2016a/MacOSX El Capitan
Support for CellOrganizer has been provided by grants GM075205 and GM090033 from the
National Institute of General Medical Sciences,
by a Forschungspreis from the Alexander von Humboldt Foundation,
and by the School of Life Sciences of the Freiburg Institute for Advanced Studies.
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