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 ...

Although workflow is pretty much similar to conventional Flow Cytometry is good to get acquainted with how to prepare for spectral Flow Cytometry For set up, it is always advisable to have an ...

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 ...

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 ...

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 ...

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 not just a technique. It has matured into a scientific field, one that has become virtually indispensable for most areas of biomedical research. Some of its more well-known ...

INDIANAPOLIS – (March 5, 2024) – Beckman Coulter Life Sciences, a global leader in laboratory automation and innovation, has received 510(k) clearance from the Food and Drug Administration (FDA) to ...

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 ...