In a recent paper, scientists from the Fred Hutchinson Cancer Center, ETH Zurich, and BD Biosciences described an experiment in which a flow cytometry system was used to analyze blood samples and ...

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 able to measure the expressions of multiple proteins simultaneously at the single-cell level. A flow cytometry experiment on one biological sample provides measurements of several ...

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 ...

Figure 1 Analysis model of neoplastic cell research in cerebrospinal fluid (CSF) samples using flow cytometry. The case illustrated refers to a diagnosis of B-ALL from our series, with the ...

Flow cytometry remains a critical technology for the high-throughput analysis of single cells in complex populations. Attention to good analysis practices is more important than ever due to the recent ...

Flow cytometry is a way to look closely at the features of cells or particles. A sample of blood or tissue goes into a machine called a cytometer. In less than a minute, a computer can analyze ...

Cytobank Automatic gating allows lab staff to set up their own gating strategy on a set of files, train a model and then reproducibly analyze more samples using the trained model. The trained model ...

Inconsistencies among operators have been identified as one of the top contributors to variability in flow cytometry data analysis. Cytobank Automatic gating can address this issue and reduce ...