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 ...

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 ...

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 ...

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 ...

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 ...

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 ...