SVision LLC announces SVCell™-Live Early Adopter Program
Early access to next generation, time-lapse microscopy image analysis software now available to scientists
SVision LLC, an emerging leader in learning technologies for image recognition applications, has begun enrollment of the Early Adopter Program for its SVCell-Live software. The live cell module extends the capability of the ‘teachable’ SVCell software to address time-lapse microscopy applications. The SVCell-Live software automatically detects and tracks cells or subcellular objects in time-lapse images. It can define an accurate boundary for the object over time for kinetic shape analysis, and also model the kinetic gain or loss of fluorescence. It provides kinetic detection, tracking, measurements, modeling, and classifications within a powerful image and data analysis interface that links overlays, images, data charts and tables together in a single frame to facilitate data review and knowledge discovery. The software achieves accurate and robust performance enabled by SVision’s next generation kinetic recognition technologies, partially developed under three NIH SBIR programs.
SVCell-Live can be used for the quantitative characterization of dynamic events and phenotypes in time-lapse multi-channel fluorescence, phase contrast and brightfield images. The software is suitable for a broad range of applications including kinetics studies, tracking of subcellular organelles or particles, and label free applications such as cell motility studies, cell morphology studies, wound assays, proliferation and apoptosis assays, and cell culture observation including cell differentiation and phenotype analyses.
The SVCell-Live Early Adopter enrollment period will begin on December 10, and run through May 31, 2007. The qualified enrollees will receive a complimentary license of the SVCell-Live pre-product software and application support for applications of their interest.
Two posters on SVision’s kinetic recognition technologies will be presented at the American Society for Cell Biology conference in San Diego on December 10th, and SVision staff will also be available at booth 1446 to discuss the program and the SVCell software. The posters can also be downloaded from the SVCell website at SVCell.com.
To enroll in the program, the applicant must submit a SVCell Early Adopter form. Interested applicants should contact Sam Alworth, SVision Business & Product Manager at 425-450-1014, samalworth, and also visit SVCell.com for more information.
About SVision LLC
SVision develops and markets the next generation microscopy image analysis software, SVCell. SVCell enables scientists to create “recipes” for high performance image segmentation, optimized measurement and accurate pattern classification using a simple “teach by example” interface – guided by their biological knowledge rather than image processing expertise. 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. SVision is a technological innovator with 26 issued and 20 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