Neuron Tracing in microscopy volume imaging data can be challenging and laborious. The Automatic Neuron Tracing module allows analysis of even complex structural networks in both 2D or 3D multichannel image sets of virtually any size (tested with 100s of GBs). The integration of two modern, published methods and state-of-the-art algorithms offers an easy-to-use approach with full flexibility and interactivity at all steps.
The novel software architecture and algorithms of the arivis Scientific Image Analysis Platform deliver top performance in tracing applications for various imaging modalities in light microscopy. Combined with our best-in-class Machine Learning segmentation, automatic tracing and trace editing of multidimensional data sets becomes an easy task, without the need to be an expert in bioinformatics. arivis Vision4D allows you to create expert results and meaningful output data for any kind of tracing data sets. The new semi-automatic trace editing tool creates a neuron trace or branch interactively by drawing in the viewer with automatic detection of the path. And the unique arivis VisionVR virtual reality solution gives you superior productivity when proofreading and correcting your automatically created results.
Several parameters and state-of-the-art algorithms allow fast and reproducible tracing:
"Forest of Neurons": Automated 3D neuron tracing of neuronal tissue (mouse brain) with Vision4D 4.0 and ZEISS LSM 980 confocal microscope. Original 3D tissue volume dataset (45GB CZI, confocal fluorescence microscopy, single channel) kindly provided by Dr. Steffen Burgold, ZEISS RMS Customer Center Oberkochen, Germany.
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.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.