arivis presents the new Vision4D 3.1 release for working with multi-dimensional big image data

Intelligent image analysis with fully integrated Machine Learning, connection to Open Source combined with 3D Measurements and Tracking & Lineage

Munich, June 5, 2019 – arivis presents the new 3.1 version of its image analysis solution, Vision4D. Researchers will now be able to conduct their analysis efforts supported by Machine Learning more easily. With the new features of arivis Vision4D they will be able to deliver reliable analysis results in less time.

Christian Götze, Vice President Imaging at arivis AG, highlights the unique features of the new Vision4D 3.1: “We are proud to present our easy to use integrated Machine Learning workflow as well as our new capabilities to interface with Open Source and other software. Further to this, we keep adding functionality from our renowned Vision4D product to our VR solution. Clearly, with our new platform on the horizon we are confident to help scientists even better in scientific and medical breakthroughs in the future.”

arivis Vision4D 3.1-tracking & lineage
Image courtesy of Celia Smits, Stanislav Y. Shvartsman, Department of Molecular Biology, Princeton University

Integrated Machine Learning for easy and reliable image analysis

Our new Machine Learning capabilities facilitate the transfer of scientific expert knowledge in image analysis. Simplified segmentation by drawing / labelling the structures of interest allows quick sample generation for training the Machine Learning algorithms to analyze your image data. The subsequent automatic training uses this information to automatically create the algorithms utilized to find the structures of interest all over these and other images. Thus, researchers can now create robust and reliable analysis results in less time without the necessity to be an image analysis expert.

Exchange of 3D objects with Open Source

With the new module “Exchange objects from Open Source”, imaging facilities and principal investigators can exchange 3D objects with open-source and any other software currently used in their workflows. This integrated approach allows researcher to import and export results generated with Open Source software in a single commercial software package without the need for programming knowledge.

Interactive tracking and lineage of complex biological data

Capturing cells or subcellular particles in microscopic data can be challenging. Using our Tracking module on time series of 2D or 3D data sets over time, researchers learn more about the motion of 3D objects and have full control and interactivity at all steps. The Lineage functionality adds further information about proliferating cells in cancer research and developmental biology. Virtual Reality can be used to track, proof read and correct automatically created results in a much more efficient way than ever before.