Differences in how users gate populations within experiments are major sources of variability in flow cytometry data analysis. Incorporating automated image analysis can substantially reduce user bias ...
Before setting a gating strategy, it is vital to know the properties of cells to be analyzed, such as cell size, the relative expression of markers and whether artifacts are likely to have been ...
Researchers have validated an AI-assisted flow cytometry system that can analyze complex immunological data in under five minutes per case, matching expert accuracy. The DeepFlow™ platform ...
A new research article published in SLAS Discovery from the Genomics Institute of the Novartis Research Foundation (GNF) highlights a diversity of approaches that automated high-throughput flow ...
Clinical trials and high-throughput flow cytometry produce large amounts of data, leading to an analysis bottleneck unaddressed by commercially available cytometry analysis software. As the throughput ...
Despite significant improvement in data acquisition capabilities of flow cytometers, data analysis still remains a challenge. 7 At present, data analysis is typically based in two-dimensional plots, ...
FRANKLIN LAKES, N.J., March 26, 2019 /PRNewswire/ -- BD (Becton, Dickinson and Company) (NYSE: BDX), a leading global medical technology company, today announced the CE-IVD certification for the BD ...
As the incidence of cancer rises around the world, the demand for faster, more precise diagnoses is also on the rise. This demand will only intensify over time, as the worldwide incidence of cancer is ...
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