Flow cytometry articles from across Nature Portfolio

Optimized methods and protocols for single cell and single nucleus RNA sequencing of preserved skeletal muscle provide an important resource for obtaining high-quality single cell genomic material from archived tissue.

Existing image-activated cell sorting tools suffer from the challenges of 3D information loss and processing latency in real-time sorting operations. Here, the authors propose a neuromorphic-enabled video-activated cell sorter (NEVACS) framework, which achieves high-dimensional spatiotemporal characterization content and high-throughput sorting of particles.

Flow cytometry is often hindered by undesired fluctuations in fluorescence intensity. Here, the authors propose high-throughput fluorescence lifetime imaging flow cytometry, which enables imaging at a rate of over 10,000 cells per second and, therefore, enhances the capabilities of cellular analysis.

Detection of scattered light pulse shapes with angular resolutions enables flow-cytometric sorting of cells in different cell cycle phases and the identification of PBMC subsets without the need for staining.

The authors present a workflow integrating imaging mass cytometry and imaging mass spectrometry to deconvolute metabolic heterogeneity at the single-cell level.

A new study combining experimental treatments of human blood cells from thousands of individuals with flow-cytometry-based phenotyping and then genome-wide association analyses identifies genetic loci associated with non-resting cell states. Integrating the results with disease association signals yields insights into the underlying biology.

Barcoding cells with microparticles that emit near-infrared laser light enables the use of flow cytometry to track the dynamics of single cells by using more markers and fewer colours.

High-dimensional cytometry experiments measuring 20–50 cellular markers have become routine in many laboratories. The increased complexity of these datasets requires added rigor during the experimental planning and the subsequent manual and computational data analysis to avoid artefacts and misinterpretation of results. Here we discuss pitfalls frequently encountered during high-dimensional cytometry data analysis and aim to provide a basic framework and recommendations for reporting and analyzing these datasets.

For genome-wide screens and other applications that require the processing of a large number of cells, the immunomagnetic sorting of cells on a microfluidic chip is a scalable, rapid and cost-efficient alternative to fluorescence-activated cell sorting.