Flow cytometry is a key diagnostic technique in hematology that provides protein information at a single-cell level. Traditionally interpreted manually in a sequence of two-dimensional plots, ...

In the near future, clinical trials will use machine learning routinely to analyze data. Today, however, machine learning is still at an adoption midpoint—no longer pioneering, but not yet ubiquitous.

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 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 ...

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 ...