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 ...

Subjectivity in flow-cytometry data analysis has long been a challenge. Recent advancements in high-speed camera capabilities have led to the integration of morphological features with traditional ...

Advances in flow cytometry increasingly rely on computational tools for discovery. However, workflows for cell sorting remain unchanged, using manual gating and subjective combinations of one- and two ...

PARIS & PHILADELPHIA--(BUSINESS WIRE)--METAFORA biosystems, a company that’s leveraging its AI-powered flow cytometry platform to generate improved IVDs and more effective cell therapies, today ...

Immunophenotyping is the identification and quantitation of heterogeneous populations of cells by multi-parameter flow cytometry using a panel of fluorescently-labelled antibodies that recognize ...

The quality of reference controls is critical for generating accurate compensation or unmixing matrices and correctly interpreting conventional or spectral flow cytometry data, respectively. Follow ...

With flow cytometry, as with many technologies that enjoy continuous use, we can see an evolution of capabilities. Spectral analysis, image capture, and artificial intelligence are just a few of the ...

Flow cytometry remains a critical technology for the high-throughput analysis of single cells in complex populations. Attention to good analysis practices is more important than ever due to the recent ...

Investigators sought to show how individual cases could be clarified through the use of flow cytometry analysis. Corresponding author Theresia M. Westers, PhD, of Amsterdam University Medical Centers ...