Can Shi

The paper presents a unified spatial transcriptomic dataset of 10 mouse organs, providing high-resolution expression matrices paired with histological images for method development and benchmarking.

CSRefiner improves cell segmentation accuracy with small datasets by fine-tuning existing models for spatial transcriptomics.

CellBin processes spatial omics data to create cell-level matrices, outperforming existing methods across multiple platforms and omics types.

CellBinDB provides a large-scale multimodal annotated dataset for cell segmentation and benchmarks seven state-of-the-art methods.