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 ...

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 ...

Around the same time, Mack Fulwyler, an engineer working at Los Alamos National Laboratory, needed to separate particles, so he drew on existing techniques to create droplets to separate cells from a ...

PARIS & CHICAGO--(BUSINESS WIRE)--METAFORA biosystems, today announces the launch of METAflow, its digital flow cytometry platform, into the RUO market. METAflow offers the power of a highly advanced ...

After five decades of use, flow cytometry is entrenched in biomedical science. Besides enabling the quick processing of cells in suspension, flow cytometry provides quantitative results across ...

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 ...

While flow cytometry has become a prominent technology in both research and clinical laboratories, the sample preparation workflow is often still highly manual. Variabiability in this workflow, as ...

What are cell and gene therapies? Cell and gene therapies are utilized to treat diseases and, in some cases, cure diseases by targeting the underlying proteins or genes. Overlaps between these ...

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 is not just a technique. It has matured into a scientific field, one that has become virtually indispensable for most areas of biomedical research. Some of its more well-known ...