Life science and data technology innovator, Aigenpulse, is launching its CytoML Experiment Suite – an automated, end-to-end, machine learning solution specifically aimed at streamlining and automating cytometry analysis at scale and replacing manual gating processes. With it, users will benefit from a single point-of-truth about all cytometry data across any organisation.
Image Credit: Aigenpulse
CytoML automates every stage of the flow cytometry data lifecycle, from data acquisition to insight generation. It can help increase throughput of data processing and analytics by as much as 600%, simultaneously increasing the accuracy, reproducibility, and quality of flow cytometry data.
The Experiment Suite makes it possible to leverage machine learning to scale-up and automate gating using both unsupervised and guided population identification, clearly visualising populations and having full control over gating parameters in the Decision Space. All algorithm parameters are retained for fully transparent and reproducible cytometry gating.
CytoML has been