PerkinElmer is set to launch the Columbus 2.3 image data storage and analysis system at the High Content Analysis Conference in San Francisco, US.

The Columbus 2.3 platform allows researchers to perform high content analysis on a single powerful platform, from image analysis through to secondary analysis, regardless of which high content screening (HCS) instrument they have.

The Columbus system can enable scientists to select small interfering RNA (siRNA) or compounds with desirable inhibition or activation effects, shortening high content analysis workflow and ultimately accelerate research in disease, biology and drug discovery.

The latest version of the Columbus system features a further improved version of PerkinElmer’s unique machine-learning technology, PhenoLOGIC, which makes cell classification as easy as point-and-click.

PerkinElmer In-vitro solutions vice president and general manager Achim Von Leoprechting said the Columbus system provides researchers with a single solution for high content analysis allow analysis of data from all major HCS systems in a consistent way and compare the cellular parameters, leading to better quality and more statistically relevant results.

The improved morphology analysis capability of the software will provide scientists a more complete understanding of the effects different treatments have on cell samples.