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 & 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 ...

To schedule time for flow analysis, call 977-8877. Leave a message if you are unable to reach us immediately and we will return your call as soon as possible. Users are also welcome to stop by the ...

A research team from George R Brown School of Engineering and Computing (Rice University; TX, USA), led by Peter Lillehoj and Kevin Mchugh, have developed an innovative AI-enabled microfluidic ...

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 ...

Flow-based methods allow researchers to collect multiparameter data from individual cells in their samples, but the fate of samples depends on the instrument. In addition to cell analysis, cell ...

Optimizing RNA encapsulation is vital for formulation development and maximizing delivery to target cells to ensure the success of therapeutics and vaccines. However, assessing the efficiency of the ...

Flow cytometry detects and measures the chemical and physical properties and characteristics of particles or cells within a population. Samples are suspended in a liquid, held in a tube, and counted ...