Scientists Can Now Teach the Computer to Quantitatively Analyze Microscope Images
SVision LLC to launch SVCell™, ‘teachable’ recognition software for versatile microscopy image analysis
Scientists can now teach the computer to automatically detect, segment, measure, classify, analyze and discover cellular and subcellular phenotypes and events in their unique microscopy imaging experiments with a simple “teach by example” interface — guided by their biological knowledge rather than image processing expertise.
The new microscopy image recognition software, SVCell, will be launched on October 15, 2006 at the Society for Neuroscience Conference in Atlanta, GA by SVision LLC, an emerging leader in learning technologies for image recognition applications.
Prior to SVCell, the creation of image recognition software for a microscopy imaging experiment required significant image processing and pattern recognition expertise. It was performed by application specific programming or through the often lengthy optimization of preconfigured software by imaging specialists. This suffered from long lead times for software creation and update, and unpredictable outcomes.
SVCell enables scientists to create “recipes” for high performance image segmentation, optimized measurement and accurate pattern classification. The teaching is fast, easy and intuitive, and the taught recipe can be easily updated to match evolving experimental protocols. The validated recipe can then be executed in a high throughput imaging assay with fast, accurate and robust performance comparable to custom written algorithms or “turnkey” systems.
SVCell is backed by SVision’s application and technical support to get scientists up and running quickly. SVision’s experienced team of application engineers and imaging scientists will provide training classes, custom recipe development services, and share existing recipes.
In connection with the product launch, SVision announces the SVCell Easy Deployment (SEED) program. Under this program, qualified labs are eligible to receive a full–featured trial of the software as well as complimentary application and technical support.
SVision also announces the SVCell Commercial Partnership program to address the diverse requirements of microscopy imaging experiments including cell-based assay reagents, microscope control and image acquisition, database management, etc. The program covers co-marketing, OEM and solution partnerships that could provide a total solution for a wide range of microscopy imaging assays. Commercial partners may also use SVCell as a robust and versatile development platform for their target applications in basic research, drug discovery, toxicology, bioproduction, disease diagnosis and emerging fields. Enabled by SVision’s comprehensive intellectual properties and SVCell’s learning technologies, partners could quickly create and demonstrate optimal solutions for their new applications using SVCell.
For more information about SVCell, the SVCell SEED and partner programs visit SVCell.com.
About SVision LLC
SVision is a technological innovator with 22 issued, 5 allowed and 17 pending US patents in high-speed image processing, pattern recognition, machine vision, automatic learning, spatial reasoning and data mining. Since 1999, SVision has been pioneering the use of learning technology in a broad range of practical image recognition applications. SVCell development is partially funded by the National Institute of Health (NIH) under multiple Small Business Innovative Research (SBIR) programs. For more information visit www.svisionllc.com, or email Sam Alworth, Business & Product Manager, samalworth.