Learning Center – Spatial Analysis
Spatial transcriptomics analysis turns gene expression data into tissue-level context, showing not just what’s active, but where. This Learning Center track covers spatial biology workflows, from spatial context mapping to mechanism-level interpretation, using guided methods your team can validate and reproduce. Explore the articles below to see how iSCanGuide™ takes spatial data from raw matrix to mechanistic insight, in minutes, not weeks.
Imaging-Based vs. Sequencing-Based Spatial Transcriptomics: Choosing the Right Platform
Imaging-based platforms like Xenium® and MERFISH® visualize transcripts directly in cells using in situ hybridization for single-cell resolution, while sequencing-based platforms like Visium® capture RNA from barcoded spots and computationally map it back to tissue, trading some resolution for [...]
What Is Spatial Transcriptomics and When Do You Need It?
While single-cell RNA sequencing tells you what cell types are present in a tissue, spatial transcriptomics tells you where cells are relative to one another in a tissue. This distinction can change the interpretation of biological data. Key [...]