This guide examines the core principles that underpin robust flow cytometry workflows, connecting established best practices ...

Flow-based methods allow researchers to collect multiparameter data from individual cells in their samples, but the fate of samples depends on the instrument. In addition to cell analysis, cell ...

To isolate specific cell populations, researchers frequently employ fluorescence-activated cell sorting (FACS). While this flow cytometry-based technique analyzes the cells’ fluorescence, it cannot ...

Single-cell transcriptomics is valuable for uncovering individual cell properties, particularly in heterogeneous systems. However, this technique often results in the reanalysis of many ...

The field of genomic research has undergone a remarkable transformation with the rapid expansion of high-quality genome databases, the discovery of epigenetic factors and the advent of CRISPR–Cas ...

The capability to sort single cells of interest and to deeply characterize them has greatly added to our understanding of biology and disease states. Indeed, cell sorting has become an indispensable ...