We are delighted to share our commentary on “cytometry in the high-dimensional era”, out now in with Nature Immunology. There are a number of common challenges in creating and analysing high-dimensional cytometry data, including issues relating to spreading error, data transformaton, summary statistics, heatmap visualisations, clustering, dimensionality reduction, and batch effects/alignment. Here we discuss these challenges and provide guidelines and best practices for how best to tackle these issues.

This paper is a product of a wonderful collaboration with Thomas Liechti, Lukas Weber, Natalie Stanley, Martin Prlic, Sofie Van Gassen, and Florian Mair.

Check out:

• Our paper: An updated guide for the perplexed: cytometry in the high-dimensional era. 2021. T Liechti , L Weber , TM Ashhurst , N Stanley , M Prlic , S Van Gassen, F Mair. Nature Immunology (2021) Nature Immunology.

• Some associated tutorials and protocols on high-dimensional analysis.