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 ...

Subjectivity in flow-cytometry data analysis has long been a challenge. Recent advancements in high-speed camera capabilities have led to the integration of morphological features with traditional ...

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 ...

The UAB Flow Cytometry Lab is home to a staff of medical laboratory professionals who perform complex testing using state-of-the-art flow cytometry equipment. This testing, through research, education ...

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 ...

The Flow Cytometry shared resource stays at the leading edge of technology. Close ties to industry allow us to offer users early access to new reagents and instrumentation. We help users realize a ...

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 ...