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This is the private confluence area for the SLASH project.
Advanced instrumentation and cellular imaging techniques using high-throughput 3D electron microscopy are driving a new revolution in the exploration of complex biological systems by providing near seamless views across multiple scales of resolution. These datasets provide the necessary breadth and depth to analyze multicellular, cellular, and subcellular structure across large swathes of tissue. While these new imaging procedures are generating extremely large datasets of enormous value, the quantities are such that no single user or even laboratory team can possibly analyze the full content of these data through traditional means. To address this challenge, researchers from the National Center for Microscopy and Imaging Research at UC San Diego have teamed with software visualization experts from the Scientific Computing and Imaging Institute at the University of Utah to build SLASH, a System for Large-scale Automatic Segmentation utilizing High-performance computing techniques.
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SLASH is a project spawned from the "NeuroSeg" group, and we still use a "neuroseg" e-mail list (neuralseg@sci.utah.edu), so it's easy to get the two terms confused.
SLASH is funded by a grant from the National Institutes of Health, National Institute of Neurological Disorders and Stroke (NINDS) (5R01NS075314).
PUBLIC SITE:
To access SLASH's public site go to: https://slashsegmentation.com
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