Flow cytometry has been an essential technique in modern biological research. It was originally used almost exclusively for fluorescence-based analysis and sorting of cells labeled with fluorescent ...

Flow cytometry uses fluorescent probes to identify and characterize cells or particles in suspension (e.g. cells, nuclei or chromosomes) by virtue of size, granularity and fluorescence ...

Flow cytometry is an invaluable tool which is routinely used across diverse fields including immunology, oncology, metabolomics, marine biology, and extracellular vesicles. Cytek’s Full Spectrum ...

Conventional flow cytometry has relatively limited sensitivity, meaning that heterogeneous cell samples often have to be purified through lysis and wash steps prior to analysis. These steps leave ...

Science can be colorful, fast and fantastic - just ask some aspiring FlowJos. Read on to learn how to go with the flow in this introductory guide on flow cytometry! Flow cytometry (Flow = fluidics, ...

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 ...

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 ...

A new platform established by researchers at the Single-Cell Center, Qingdao Institute of Bioenergy and Bioprocess Technology of the Chinese Academy of Sciences (QIBEBT/CAS) improves accuracy, ...

The Cytometry and Cell Sorting Core at Baylor College of Medicine is heavily subsidized by the College and by several NIH-funded Centers. It is an NIH requirement that any publication using equipment ...

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 ...