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 ...

How do we “name” a cell and assign its identity? How do we know that we are all talking about the same cells? How do we agree on what it takes to confidently correlate previous with current research ...

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 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 ...

A flow cytometric score developed in 2012, which uses 4 parameters to distinguish low-grade myelodysplastic syndromes (MDS) from nonclonal cytopenias, is simple and practical for screening patients ...

Flow cytometry is a high-throughput method of cell analysis, where cells are passed by an array of lasers and detectors in a single file to quickly determine a range of cellular characteristics and ...

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 ...

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 ...