Discussion

There is an increasing need for very high throughput methods to analyze and gate single-cell data, both for object-level data from HCS assays, and for working with results from new automated plate-based flow cytometry platforms. Existing software solutions are typically not capable of handling data in amounts greater than a single plate and lack methods that support basic screening concepts such as normalization, replicate analysis, and quality metrics.

With Genedata Screener, multi-featured measurements at single-cell resolution are imported for all plates of a complete screen. Results per well are calculated from individual cell populations based on user-defined criteria and functions that aggregate individual cell values to a population result. Cell population visualizations aid in definition, optimization and validation of such processing; interactive changes trigger re-calculation on the fly. Analysis workflows specific to flow cytometry are supported, in particular definition, review, and analysis of cell populations and sub-populations, defined with graphically-drawn gates or with n-dimensional rule bases.