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 ...

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 ...

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 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 ...

Cell processes are complex and are controlled through dynamic intracellular signaling. To better understand these processes, flow cytometry is used to phenotype cells by taking their dimensions and ...

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 ...

Flow cytometry detects and measures the chemical and physical properties and characteristics of particles or cells within a population. Samples are suspended in a liquid, held in a tube, and counted ...