How to manage data?
Image based screening poses specific challenges to data storage and management. Users are routinely collecting Terabytes (TB) of data and need to be able to effectively store, recall and analyse the data coming from various High Content Screening instruments as well as research microscopes and other image creating instruments. An industry standard image data management system scalable and cross-platform compatible is required for High Content Screening. Columbus database products from PerkinElmer address the major issues of High Content data management. Complex HCS multi-channel images can be stored and accessed by multiple users and a very wide range of file formats from different sources is accepted. Columbus utilizes the OMERO server, developed by the Open Microscopy Environment, a multi-site collaborative effort among academic laboratories and a number of commercial entities creating open tools to support data management for biological light microscopy. As such, it is the ideal int
