For research organizations that leverage imaging science these are exciting times. The benefits of new image-based assays are driving the invention of new instruments that produce amazing 3D content at incredible speeds. As production accelerates, the size and amount of 3D images overburden infrastructure and impede image exploration and information flow. Blending isolated computational solutions (commercial and open source) into smooth workflows that can produce valid results requires a fulltime army of experts. Imaging datasets are often stored in inconvenient places or in impenetrable silos, which hinders progress and costs unmeasured sums. When data are accessible, leveraging state-of-the-art processing techniques or running computations at scale requires substantial additional considerations in staffing and hardware.
The arivis Imaging Platform is a flexible computing universe for Imaging Science that scales, parallelizes, integrates and connects all imaging workflows, sparking organization-wide image data proficiency and efficiency at all levels. The integrated toolsets take care of everything from the file storage format > to user and project-specific computations > to reporting. The computational and management hubs that comprise the platform connect your datasets and take care of your central imaging databases and can expose data assets - including raw data and specified portions of raw data - to AI routines.
Modular software toolkit for extracting results from scientific images. Adjusts to hardware for maximum power and smooth interactivity on image datasets of unlimited size. Brings diverse tools into one environment and enables users to connect them into productive workflows. Highly interactive for optimization and quality at every step. Extendible directly via Python and connectable to other applications via libraries.
Display real image data in Virtual Reality by utilizing patent pending direct volume rendering techniques with no need to convert data or make surface models. Directly use your hands to move, rotate, scale, and shape your digital image data. Interactively proofread, edit, track or segment multi-dimensional images from nearly any source instrument.
A nucleus of computational activity and collaboration at scale. VisionHub enables design and execution of large-scale experiments that produce results from images, whether datasets are already stored or are actively being produced. Mass quantities of Imagery are onboarded and processed by a virtual team of computational workers. Smartly utilize processing cores in servers or workstations with the maximum speeds possible.
arivis offers a variety of different services to help our customers with many aspects of the drug development process and document organization.
Full support for building and improving your organization’s imaging competency. We help you improve any part of the process from acquisition to image management.
Process design and improvement for screening that runs with optimal efficiency. We can integrate AI and ML into your arivis imaging science workflows or help you implement them as effective process steps within other imaging infrastructures.
Extraction of results from images of any kind. We use our years of experience in image computing to help you get the best results as quickly as possible.
High-content screening (HCS), also known as high-content analysis (HCA) or cellomics, is a method that is used in early development stages and drug discovery to typically identify substances such as small molecules, peptides, or relevant RNAi that can lead into development candidates for future medicines.
With the development of diagnostic imaging devices, large amounts of digital high-res and 3D images are generated every day. The requirements of effective indexing and searching image are growing rapidly. Image annotation is an effective way for content-based image retrieval.
The last few years have seen tremendous consolidation in both the pharmaceutical and contract research industries. The impact among pharma companies has created a heightened demand for productivity.
Post implementation training services relate often to process changes. With training services implementations are ready for success. The Learning Management System (LMS) typically handles the processes related to ramp-up and adoption planning after larger implementations.