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 ...

This technology has vast potential to help patients but remains underutilized and underappreciated. The tools are there. What’s lacking are harmonized controls, regulatory guidelines and database ...

After five decades of use, flow cytometry is entrenched in biomedical science. Besides enabling the quick processing of cells in suspension, flow cytometry provides quantitative results across ...

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 an invaluable method for biomedical research. Since its development over 50 years ago, technology for flow cytometry has progressed rapidly, allowing for the detection of more and ...

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 ...

Flow cytometers are becoming the instrument of choice in a growing number of applications, including marine biology, cancer biology, drug screening, cell-cycle analysis, intracellular analysis, rare ...

Flow cytometry detects and measures the chemical, fluorescent, and physical characteristics of cells and particles passing in a fluid stream. This technique analyzes cells by passing them through ...

Flow cytometry remains a critical technology for the high-throughput analysis of single cells in complex populations. Attention to good analysis practices is more important than ever due to the recent ...

Flow cytometry is a powerful analytical tool used for high throughput particle or cell analysis, wherein the sample is passed in a single file through the incident light of a laser detector, allowing ...

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 ...