We are happy to announce that we just released version 3.60 of Orbit Image Analysis, a cross-platform research tool for Whole Slide Image Analysis. For details of research applications, see the recently published article. Downloads for Windows, Mac and Linux can be found here.
Version 3.60 includes a new tool for semi-automating annotations of TMA type slides, and support for object segmentation using deep learning models.
We updated the OMERO server support, so now it is possible to connect to version 5.6.x. We strongly urge you to follow the instructions here to upgrade OMERO to this version or newer. If you need to use an older version of OMERO server, then you will need to use an older version of Orbit Image Analysis. Thanks to the OMERO team for their help and advice with making the upgrade.
Furthermore, we updated to version 6.4.0 of Bioformats, for the latest file format support. In addition we updated to version 2.0.23 of the native NDPI reader libraries from Hamamatsu.
We made some technical changes that are documented here. As an end user you should only notice that the icons look nicer on monitors with resolution greater than 1920×1080. If you are a developer looking to contribute to Orbit Image Analysis development, we hope that our improvements to the build.gradle scripts will help you.
We’d love to hear your feedback on this release, what you love, what kind of analysis you’d love to be able to do. In case you have any issues please open an issue on the Github page, or add a comment in the orbit channel on forum.image.sc.
Thanks,
Manuel and Jon