Progenesis QI

Unlock complex data with powerful visualization

One of the key features of Progenesis QI is its highly graphical and attractive data displays which allow you to fully visualize and understand your data, giving added confidence in the measurements made. Ion-intensity maps showing the 2D-representation of chromatographic retention time, m/z and feature intensity, as well as MS and chromatographic data views, provide quality assurance of automatic alignment, peak picking and compound adduct deconvolution for every sample.

Highly accurate quantification of compounds

Progenesis QI provides both accurate and precise measurements of compounds based on their summed ion intensities. All compound adducts are automatically deconvoluted to provide accurate quantification from all available data. Following quantification, it is possible to identify compounds having statistically significant abundance changes across groups. Large numbers of samples from multiple groups can be explored, along with multiple comparison designs within a single experiment. The result is a list of compounds of interest for further characterization.

Confident compound identification with multiple search parameters

Progenesis QI allows you to search for compound identifications based not only on neutral mass, isotopic distribution and chromatographic retention time, but also using MS/MS fragment data and collision cross section (CCS) measurements. This is made possible using our novel Metascope search engine. Database searching using multiple parameters greatly improves the specificity of the search and increases the chance of correct compound identification.

Guided data processing workflow

The menu-guided workflow in Progenesis QI helps guide you through the experimental steps in the software. If required, automation routines allow you to seamlessly move through multiple stages to maximize opportunities for unsupervised overnight and weekend data processing (v2.0 feature).

• Automatic reference run selection and alignment
• Automatic peak picking and normalization
• Automated experimental design from .CSV and .SPL files
• All stages automatable up to the point of compound identification

Statistical analysis

Find compounds of interest using statistical tools included in Progenesis QI, including:

• ANOVA
• Principal component analysis (PCA)
• Hierarchical clustering

Or additionally, take advantage of advanced statistics via seamless integration with EZInfo 3.0 (Umetrics, v2.0 feature) giving access to functions such as supervised analysis and s-plots.