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 ...

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 ...

Beckman Coulter Life Sciences, a global leader in laboratory automation and innovation, introduces an automated solution for the grueling and time-consuming process of manual gating flow cytometry ...

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 ...

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 ...

How do we “name” a cell and assign its identity? How do we know that we are all talking about the same cells? How do we agree on what it takes to confidently correlate previous with current research ...

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 ...

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 ...

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 ...

We offer some of the latest and most cutting-edge technologies in conventional flow, spectral, and mass cytometry. Our users include researchers in Fred Hutch/University of Washington Cancer ...