The new Orbit version 2.8 comes with a brand new masking functionality. It allows you to define ‘active region’ classes within a classification model or use a segmentation model to define the segmented objects as ‘active’ and then do another classification or segmentation inside these active regions. This functionality unveils the power of Orbit for[…]


Native NDPI(s) reader

Orbit 2.7 has build-in support for native NDPI(s) reading out of the box (Win and Linux distributions). This leads to a tremendous speed improvement for reading NDPI and NDPIS files from local file system. We want to thank Hamamatsu for the great support and for providing the native library.  

Mumford-Shah Segmentation

Cell Cluster Segmentation

Segmenting cells in cell clusters is very challenging because they cannot be separated easily from the background – thus classical segmentation algorithms fail. Unfortunately in WSI (whole slide imaging) you will have to deal with these situations – especially if you don’t have a single cell layer, like e.g. in tumor tissue. A collaboration with[…]


Open Local Images

Today the new Orbit version 2.41 is released. The main achievement of this major version is the ability to work with whole slide images images in standalone mode, even without using an image server. In addition, many speed improvements (faster rendering) and bug-fixes are included. Orbit is designed to work with an image server, e.g.[…]

maven central

Maven Central artifacts available

Orbit Image Analysis and all its dependencies are now available via Maven Central. If you want to use the Orbit API, just add <dependency>   <groupId>com.actelion.research</groupId>   <artifactId>orbit-image-analysis</artifactId>   <version>2.30</version> </dependency> in your POM or compile ‘com.actelion.research:orbit-image-analysis:2.30’ for Gradle. See the Orbit API page for details.