A new deep-learning-based analysis toolkit for spatial transcriptomics

Biology and medical researchers use spatial transcriptomics (ST) technologies to detect transcription levels in cells, predict cell types and build a tissue's three-dimensional (3D) structure. However, this analysis can be difficult when there are multiple tissue slices that need to be analyzed jointly using state-of-the-art toolkits. It is challenging for researchers to assemble the slices and build the 3D structure manually.