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 ...

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 ...

Flow cytometry is widely used in areas of research that require analysis or isolation of cells from suspension. This technology makes use of fluorescent probes targeted to specific cell-associated ...

Over the past decade, flow cytometry has undergone transformative advancements, notably with the adoption of spectral flow cytometry and the emergence of next-generation imaging cytometers. These ...

Flow cytometry effectively detects CTCs in melanoma patients, offering a rapid, cost-effective alternative to molecular biology. CTCs are present across all melanoma stages, with a significant ...

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 ...

Flow cytometry experiments are measuring more variables than ever, pushing the technical limits of conventional flow cytometry. Spectral flow cytometry enables multicolor panels with more parameters ...

Flow cytometry has become a key analytical technique in clinical trials. Through its multiparametric analysis, single-cell resolution, and high-throughput evaluation capabilities, flow cytometry can ...

Flow-based methods allow researchers to collect multiparameter data from individual cells in their samples, but the fate of samples depends on the instrument. In addition to cell analysis, cell ...

Beckman Coulter Life Sciences, a global leader in laboratory automation and innovation, in partnership with Rarity Bioscience AB offers a new approach to oncology research by extending the ...

How do we “name” a cell and assign its identity? How do we know that we are all talking about the same cells? How do we agree on what it takes to confidently correlate previous with current research ...