Version 1.9

This version of CellOrganizer can be used through a few simple Matlab scripts or via a graphical user interface. CellOrganizer has been tested in Linux using Matlab 2011b/2012b and in MacOSX using 2012a.

• Version 1.9.1
1. Updated template files.
2. Updated methods so that if it fails to synthesize a framework on an iteration, it will report to the user and will try to synthesize more images without exiting CellOrganizer. This feature is useful for individuals running CellOrganizer in a cluster.
• Version 1.9
1. Uses Bio-Formats to read images, thus supporting multiple image file formats.
2. Supports use of wildcards when defining the path to image files.
3. Better handling of edge cases, improved logging as well providing more feedback on training or synthesis failure.
4. No longer supports 3D images as a list of single tiff files.
5. Users can use the training flag when learning a 2D generative model, that is they can decide whether they want to train a nuclear shape model, a framework model or framework model with a protein pattern model.