Differences in how users gate populations within experiments are major sources of variability in flow cytometry data analysis. Incorporating automated image analysis can substantially reduce user bias ...

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 ...

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 ...

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 ...

Beckman Coulter Life Sciences says its IR820 and IR870 infrared dye antibody conjugates make high-parameter flow cytometry ...

Many advances in medicine and drug development were possible owing to flow cytometry, a single-cell analysis technique that ...

What are cell and gene therapies? Cell and gene therapies are utilized to treat diseases and, in some cases, cure diseases by targeting the underlying proteins or genes. Overlaps between these ...

Flow cytometry is not just a technique. It has matured into a scientific field, one that has become virtually indispensable for most areas of biomedical research. Some of its more well-known ...

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 ...