High-dimensional flow cytometry generates a wealth of data. Computational approaches can help to simplify the complexity of large datasets; however these methods must be carefully optimized, and it is ...

They display data obtained by flow cytometry, a method for analyzing hundreds of thousands of individual cells based on their shape, consistency and other features. Once the domain of ...

Find out how brightfield images can take your flow cytometry data to the next level. Join Dr. Cora Chadick, Technical Director of flow cytometry from Amsterdam UMC, as she demonstrates how easy it is ...

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 ...

Integrating AI with flow cytometry revolutionizes drug discovery and oncology, offering precise cell analysis and real-time ...

The Flow Cytometry Shared Core is a user-friendly facility serving ... assistance with fluorophore selection to best optimize experimental design and reproducibility and help with data analysis. We ...

and FCAP Array (BD Biosciences), are also available for use in data analysis. The core staff is here to help all researchers, whether novice or expert in flow cytometry, understand how this powerful ...

RALEIGH-DURHAM-CHAPEL HILL AREA, NC, UNITED STATES, January 10, 2025 /EINPresswire / -- Xraised, the <a target=_blank href= ...

“High-parameter flow cytometry is going to enrich our understanding of biology,” says Balderas, who notes that more data is always what researchers need to understand biology at a deeper leve ...

If your publication used data generated with the BioSorter ... training, methods, and resources. Flow cytometry uses fluorescent probes to identify and characterize cells or particles. Cells or ...

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 ...