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 ...

The generation of durable CD8+ T cell memory following infection or vaccination is essential for protection against future encounters with the same or related pathogens. This process has traditionally ...

Researchers have validated an AI-assisted flow cytometry system that can analyze complex immunological data in under five minutes per case, matching expert accuracy. The DeepFlow™ platform ...

A team of researchers at the George R. Brown School of Engineering and Computing at Rice University has developed an innovative artificial intelligence (AI)-enabled, low-cost device that will make ...

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 ...

Larry Sklar (left) is a Distinguished Professor Emeritus at the University of New Mexico (UNM; NM, USA) whose interest in flow cytometry as a tool for drug discovery led to the development of ...

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 ...

Flow cytometry is a way to look closely at the features of cells or particles. A sample of blood or tissue goes into a machine called a cytometer. In less than a minute, a computer can analyze ...

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 ...