Collaboration with DeNovo Software Gives Cell Biologists New Tools for Analyzing High-Content Data

Thermo Fisher Scientific Inc., the world leader in serving science, today announced that it will jointly demonstrate new capabilities for high-content data analysis with DeNovo Software at the Ninth Annual Cambridge Healthtech Meeting. The two companies are enabling a seamless connection between DeNovo’s FCS Express 4 Image Cytometry software and the high-content data in Thermo Scientific Cellomics* Store, which is integrated with all of Thermo Fisher’s high-content platforms and acts as a central hub of images and data for analysis, data mining and reporting from any desktop personal computer in a user’s global network.

By connecting Cellomics Store to FCS Express through the Cellomics Store open-standard web-services interface, researchers can quickly retrieve data and images from an experiment performed on any Thermo Scientific ArrayScan VTI HCS Reader or Thermo Scientific CellInsight Personal image Cytometer. FCS Express users can then interact with data at the single-cell level in real-time, perform flow-style analyses, generate single-cell dose-response curves and access rich statistical and visual tools to maximize the knowledge from their high-content experiment.

With the increasing adoption of high-content/image cytometry from basic cell biology through drug discovery, toxicology and systems biology researchers are generating massive amounts of data on cellular processes. In addition to images, a typical high-content experiment can produce millions of data points on individual cells, and hidden in this data could be the next anti-cancer drug or environmental toxicant. Data analysis and data mining software, which can extract this kind of knowledge from “big data,” is therefore key to the benefits of high-content research.

Demonstrations of the compatibility between FCS Express software and the Thermo Scientific platforms will take place within booth #31 at the Cambridge Healthtech Institute High Content Analysis Meeting, Jan. 10-13, 2012, in San Francisco.