DRVision Launches SVCell Phase Analyzer Suite
December 14th, 2010Next generation tool for scientists who need quantitative image analysis in their label-free, time-lapse imaging experiments.
DRVision Technologies LLC, a leader in the application of learning and recognition technologies for microscopy pattern analysis, today announced SVCell Phase Analyzer suite for comprehensive phase contrast image pattern analysis. The suite consists of the SVCell software and Phase Analyzer recipes for automated pattern analysis on applications such as cell proliferation, cell counting, wound healing and cell motility quantification from phase contrast movies.
SVCell is a next generation microscopy image analysis software powered by DRVision’s unique Soft Learning™ technologies enabling fast and intuitive machine learning for accurate image recognition. SVCell provides exceptional phase contrast movie pattern analysis capability in a stand-alone package, which enables your to assemble a best-in-class solution for your label free imaging experiments.
Phase Analyzer standard recipes for common experiments are well validated and ready to use right out of the box. Recipe modification can be done through an easy to use wizard interface. The phase Analyzer suite is extendible through Soft Learning technologies. New applications can be easily created that allow you to grow the pattern analysis tool with your scientific horizon.
Cell Phase Analyzer suite is immediately available and will be demonstrated in the DRVision booth at the American Society of Cell Biology 50th Annual meeting in Philadelphia on December 12-14, 2010.
About DRVision Technologies LLCDRVision develops and markets the teachable microscopy image analysis software SVCell, a revolutionary solution platform for broad, high content and live cell image analysis. Powered by recipes, it can address an unprecedented range of applications. Its Soft Learning™ technologies and teach-by-example interfaces make it possible for non-experts to quickly create scalable and novel image analytics.
DRVision is a technological innovator with 39 issued US patents in high-speed image processing, pattern recognition, machine vision, automatic learning, spatial reasoning and data mining. Since 1999, DRVision 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 Institutes of Health (NIH) under multiple Small Business Innovative Research (SBIR) programs worth over $6M. For more information, visit www.drvtechnologies.com.