Co-authored review presents ten practical tips for spatial transcriptomics analysis

A co-authored review on the spatial transcriptomics workflow has been published in PLOS Computational Biology.

Spatial transcriptomics measures gene expression while retaining information about where it occurs in a tissue. The review presents ten practical tips, from choosing a platform that fits the research question to data processing, visualization, integration with other data and interpretation. It provides a guide for researchers planning to introduce this approach into their work.

• Paper: Ten quick tips for spatial transcriptomics analysis
• Journal: PLOS Computational Biology 22(9): e1014757
• Publication date: 15 September 2026

Read the paper (open access)