Columbus™ is a universal image data storage and analysis system that enables access to stored images via a regular internet browser. The Columbus system lets scientists remotely access, view, annotate and analyze images. Columbus is based on OMERO server and therefore supports a variety of existing microscope file formats. Integrated image analysis tools are intuitive and efficient. PhenoLOGIC™ machine learning technology provides an easy way to classify cells or subcellular regions within a given data-set.
MATLAB® is a high-level language and interactive environment for numerical computation, visualization, and programming. MATLAB allows analyzing numerical data (including images) and further developing algorithms for simple as well advanced applications. The language, tools, built-in math functions as well as scripts written by end-users enable efficient solutions to any specific task.
IN Cell Investigator is a highly adaptable image analysis software tool that requires no specialist programming knowledge, with flexibility linked not only to the analysis, but also to the experience of the user. In combination with Spotfire™ DecisionSite™analytics software, IN Cell Investigator contains a comprehensive set of tools for analyzing and visualizing data from high-content assays. When used in conjunction with IN Cell Miner data management software, IN Cell Investigator offers an integrated solution for analysis, management, and visualization.
Volocity® provides all the tools you need to visualize, analyze and validate 3D fluorescence images from a wide range of confocal microscopy, widefield and high content screening systems and is fully integrated for a seamless user experience.
