The quality of reference controls is critical for generating accurate compensation or unmixing matrices and correctly interpreting conventional or spectral flow cytometry data, respectively. Follow ...

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

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 ...

Immunophenotyping is the identification and quantitation of heterogeneous populations of cells by multi-parameter flow cytometry using a panel of fluorescently-labelled antibodies that recognize ...

This article and associated images are based on a poster originally authored by R. Mendoza, M. Santos, E. Dreskin, V. Kortisova-Descamps and R. J. Cuthbert and presented at ELRIG Drug Discovery 2025 ...

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 cytometry, invented in the 1950s, uses antibodies linked to fluorescent probes to detect cell surface and intracellular proteins. Although able to achieve single-cell sensitivity, the method is ...