Ning Feng

The paper fills a gap in 3D spatial transcriptomics by providing data from E9.5 and E11.5 mouse embryos, enabling detailed analysis of organogenesis with a new open-access database.

The paper creates a high-resolution spatial transcriptomic atlas of the mouse brain using snRNA-seq and Stereo-seq, identifying new cell clusters, region-specific genes, and transcription factor regulons.

CellBin processes high-resolution spatial transcriptomics data to generate accurate single-cell gene expression profiles, improving accuracy and efficiency in mouse brain tissue analysis.