Seungho Cook

IAMSAM is a web-based tool for analyzing spatial transcriptomics data, enabling tissue segmentation and downstream analysis like differential expression and cell type prediction.

This paper introduces SuperST, a deep learning method that reconstructs high-resolution spatial gene expression images from low-resolution barcode-based spatial transcriptomics data, improving alignment with immunofluorescence images.