Distance Measurements are now included in arivis Vision4D. These measurements can be based on surface-surface or centroid-centroid calculations and included directly into arivis Analysis Pipeline to filter and categorize objects based on proximity. The distance filter also differentiates between positive and negative distances for objects outside or inside other objects respectively.Talk with an Expert
Image courtesy of Carl Zeiss Microscopy, ZEISS Celldiscoverer 7 and ZEN Deconvolution
LLC-PK1 cells, nuclear objects labeled by distance to nuclear surface. Image data courtesy of Carl Zeiss Microscopy, ZEISS Celldiscoverer 7 and ZEN Deconvolution
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 Machine Learning and AI routines.
Your modular software platform for extracting results from scientific images. Adjusts to your hardware for maximum power and smooth interactivity even with large image datasets of virtually unlimited size. Bring diverse tools into one environment and enable your users to connect them into productive workflows. Highly interactive for optimization and quality at every step. Extend Vision4D directly via Python and connect it to other applications via libraries.Read More VisionVR Display real image data in Virtual Reality by utilizing patent-pending direct volume rendering techniques with no need to convert data or create 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. Discuss your findings and results worldwide in a collaborative connected environment. Read More