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 ...

Many common flow cytometry mistakes share a common feature—simply following procedures instead of cultivating conceptual ...

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 ...

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 ...

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 ...

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 ...

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 ...