arivis partner strategy

Customer Success by Collaboration

For arivis, collaboration is not just another corporate buzzword, it's part of an integral and successful business model. arivis takes collaboration to the next level and makes it part of partnerships and the overarching strategy. Every partner contributes their expertise for the benefit of a shared objective, project, or mission. Whether its scientific hardware or digital signal processing, they come to life as part of business processes and workplace integration. With strategic partnerships arivis joins the forces and commits to larger scale, completeness of solutions and successful customer projects in the life sciences industry.

Scientific Hardware ZEISS
ZEISS and arivis AG partner to provide leading 3D imaging systems ZEISS and arivis AG partner to provide leading 3D imaging systems New microscopy technologies, such as light sheet fluorescence microscopy (LSFM) or clearing methods, allow the imaging of large samples at high resolution or high frame rates.
arivis Vision4D is a modular software for handling multidimensional (3D+) images of nearly unlimited size. Users can easily import images generated with microscope systems such as ZEISS Lightsheet Z.1, and comfortably stitch and align single images into large comprehensive image stacks. This enables easy assessment and efficient analysis of, for example, high resolution brain mapping experiments or long-term observation of developmental processes in embryos. ZEISS is offering an integrated package worldwide, consisting of arivis Vision4D software and certified high performance computer hardware.
Moreover, arivis and ZEISS have developed 3Dxl Viewer, an integrated rendering module for the imaging software ZEISS ZEN (blue edition). It allows the handling of large 6D data sets acquired on ZEISS LSM 800 with Airyscan.
Current publications reflect how actively the scientific community has been tackling the challenge of big image data. Two recent review articles authored by Jeff Lichtman, Hanspeter Pfister, Nir Shavit, and Doug Richardson of Harvard University and the Massachusetts Institute of Technology (Lichtman et al., Nature Neuroscience, 2014; Richardson and Lichtman, Cell, 2015) explain the monumental task currently facing neuroscientists and other biologists attempting to image large intact tissues at micrometer resolution.
Medical Technology GE Healthcare

As a leading global medical technology and digital solutions innovator, GE Healthcare enables clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications and services, supported by its Edison intelligence platform.

Intelligent Computing for Healthcare NVIDIA Healthcare & Life Sciences

Today, GPUs are found in almost all imaging modalities, including CT, MRI, x-ray, and ultrasound - bringing compute capabilities to the edge devices. With the boom of deep learning research in medical imaging, more efficient and improved approaches are being developed to enable AI-assisted workflows.

To develop these AI capable applications, the data needs to be made AI-ready. NVIDIA Accelerated computing and AI are supercharging the next generation of medical devices and biomedical research. With one platform for imaging, genomics, and patient monitoring—deployed anywhere, from embedded to edge to every cloud—NVIDIA Clara is enabling the healthcare industry to innovate and accelerate the journey to precision medicine.

Clara’s AI-Assisted Annotation does so by providing APIs and a toolkit to bring AI-assisted annotation capabilities to any medical viewer. Post annotation, data scientists and researchers need to build a robust AI model. To enable this, NVIDIA Clara Train includes techniques like AutoML, privacy-preserving federated learning and Transfer Learning. One trained AI model is available in Clara Deploy and provides a reference framework to take an AI model and write an application workflow around it to enable interfacing in a hospital like environment. Clara Deploy includes platform capabilities required to support multi-AI, multi-domain workflows in a seamless manner.

ECM Windream

Chosing a suitable enterprise content management system usually is a real challenge for most companies. Firstly, the range of functions of modern ECM systems is so huge that on first sight, it cannot yet be clearly seen. Secondly, companies needs to define really precisely which requirements should be fulfilled by the new ECM system to fullfill the company’s needs.

A huge number of decision criteria needs to be considered during that process, may it be how long the training period for the new system or the displaying of special company-specific business structures and processes which shall be displayed as detailed as possible by the new system.