Dataset summary

Original publication DOI: https://doi.org/10.1101/2022.10.25.513696
Specific data link: https://data.mendeley.com/datasets/nrbsxrk9mp/1
Original abstract: Capture array-based spatial transcriptomics methods have been widely used to resolve gene expression in diverse tissue contexts, however, their spatial resolution is limited by array density. We present Expansion Spatial Transcriptomics (Ex-ST) to overcome this limitation by clearing and expanding tissue prior to capturing the entire transcriptome. This approach allows us to achieve near cellular resolution and higher capture efficiency of lowly-expressed genes, which we demonstrate using mouse brain samples.

Summary statistics

Slides: 2
Patients: 1
Spots: 9132

How to use

                    
                        # Import spared library
                        import spared 
                        from spared import datasets
                        # Dataset
                        dataset = datasets.get_dataset("fan_mouse_brain_coronal", visualize=True)