The quality of reference controls is critical for generating accurate compensation or unmixing matrices and correctly interpreting conventional or spectral flow cytometry data, respectively. Follow ...

Flow cytometry detects cells or particles in suspension by separating them in a narrow, rapidly flowing stream of liquid. The sample is passed through a laser, which detects properties such as size, ...

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 ...

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 ...

Although established more than 30 years ago, the field of flow cytometry continues to grow and advance. It remains an indispensable tool for clinicians and researchers. The “Northwest Regional ...

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 ...

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 ...

Much of what biologists know about the human immune system has been — quite literally — illuminated by flow cytometry. For more than 70 years, this technology has evolved to become one of immunology’s ...

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 ...