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 ...

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 ...

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 ...

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 ...

Flow cytometry is a widely used analytical technique that distinguishes between cell populations depending on the presence or absence of chosen markers. However, the number of markers that can be ...

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 cytometry is a strong analytical method that is utilized to determine, measure, and examine cells and particles in a heterogeneous mixture. The standard instrument comprises three primary ...

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 ...