The Hangzhou Huada Institute of Life Sciences, in collaboration with universities and research institutions such as Stanford University in the United States and Wuhan University in China, has developed the high-precision life panoramic spatiotemporal algorithm tool "Spateo", which enables spatial transcriptomics technology to finely reconstruct the three-dimensional structure of organs and systematically quantify the spatiotemporal dynamic processes of genes and cells. The relevant paper was published on November 12th in the international academic journal Cell. One of the corresponding authors of the paper, Dr. Bai Yinqi from Hangzhou Huada Institute of Life Sciences, introduced that spatial transcriptomics technology can accurately reflect the spatial arrangement of cells and the in situ expression of RNA, which is a major technological innovation in life science research. However, the large amount of raw data generated by using this technology still needs to be processed and analyzed with algorithmic tools in order to find meaningful cell and gene expression in spatial distribution. Previous algorithmic tools mostly focused on visualizing spatial in-situ signals, but lacked systematic methods for analyzing data. This is the reason why we are conducting research and development on new tools Bai Yinqi said. It is reported that the algorithm tool developed by the research team adopts a mathematical modeling approach and has functions such as 3D reconstruction, regional digitization, inference of intercellular interactions, macroscopic tissue and microscopic gene associations, and a visual interface for interactive operations. To verify performance, the research team used the development of mouse embryos and fruit flies as examples to explore the mechanism of organ ecology formation that changes over time in three-dimensional space, and constructed a "3D molecular hologram" of mouse embryo development. The new tool will significantly improve researchers' understanding of organ formation during development, helping them further understand genes and cells from the dimensions of time and space, and providing support for advancing research in multiple fields such as embryonic development, neuroscience, and diseases Bai Yinqi said. (New Society)