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 ...

Artificial intelligence-supported cell imaging could help laboratories to set defensible quality thresholds for living ...

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 ...

The life science group Sartorius has released its second edition of the “High-Throughput Screening (HTS) by Cytometry” handbook, tailored to support new and experienced researchers who use flow ...

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 ...