In this webinar, Jorge López, MSc, Flow Cytometry and Hematology Specialist, will discuss the implementation of PIDOT within a Next Generation Flow™ cytometry framework as a sta ...

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 ...

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 ...

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 ...

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 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 ...

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, 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 ...

Flow cytometry offers practical advantages for real-time monitoring of CAR T cell expansion, persistence, and toxicity risk in aggressive large B-cell lymphoma patients. Early CAR T cell expansion is ...