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 powerful analytical tool employed in several industries. This article will provide an overview of its use in the field of botany. Flow cytometry measures the chemical and physical ...

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 ...

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 ...

Flow cytometry is a single-cell analytical technique that uses fluorophore-labeled cell structures or biomarkers to differentiate between cell populations. Through this method, researchers detect the ...

A flow cytometry-based approach to isolate extracellular vesicles is evaluated and its impact on microRNA cargo is revealed, showing reduced molecular diversity while preserving core functional ...

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 ...

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 ...

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 ...

The Invitrogen™ Attune™ CytPix Flow Cytometer can simultaneously collect fluorescence data and high-resolution brightfield images of individual cells. This allows to better understand the morphology ...

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 ...