For example, flow cytometry can distinguish different cellular properties from morphology to cell cycle stage. Furthermore, the information provided by a flow cytometer reflects the individual cells ...
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 ...
The last few decades have completely transformed veterinary sciences; for example, the life expectancy of both cats and dogs has increased to a higher level than ever before. Veterinary science not ...
Technological change is often driven by the needs of people. Flow cytometry is no different. The designs of instruments and processing techniques are evolving to meet the needs of researchers and drug ...
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 ...
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 ...
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 ...
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 ...
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 ...