1.31.0, SlideRunner has support for the DICOM WSI image format (thanks, pydicom team, for your support!).
#Mtg slide runner mac os#
and uncountable small fixes and improvementsįor Windows 10 and Mac OS X, we provide a binary file, that you can download here: Operating System. WSI co-registration using the method of Jun Jiang. Support for non-clickable annotations (to aid some annotation tasks) (new in 2.0.0). Support for z Stacks as well as time series. Much enhanced polygon annotation support, including modifying and simplification. NII files (thanks to nibabel package, new in 2.0.0). 
TIFF stacks (previously was only for 2D images, new in 1.99beta6). CellVizio MKT (Confocal Laser Endomicroscopy, new in 1.99beta4). DICOM supprt (including DICOM WSI, through pydicom, new in 1.99beta4). But for a good reason: Following requests by our pathologists, SlideRunner now has support for a much broader range of image formats. While we initially wanted to declare the version on this years BVM, it has all been delayed a bit. With so many new features, it is time to declare Version 2. Please find the authors webpage at: Version 2.0.0 Springer Vieweg, Berlin, Heidelberg, 2018. In: Bildverarbeitung für die Medizin 2018. Maier (2018) SlideRunner - A Tool for Massive Cell Annotations in Whole Slide Images. 
If you use the software for research purposes, please cite our paper: Development is continued now at Technische Hochschule Ingolstadt.
It has been created in close cooperation between the Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg and the Institute of Veterenary Pathology, Freie Universität Berlin. SlideRunner is a tool for massive cell annotations in whole slide images.
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