This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

Researchers have developed two innovative tools to help us delve deeper into cell communication, offering spatial insight ...

Single-cell RNA transcriptomics allows researchers to broadly profile the gene expression of individual cells in a particular tissue. This technique has allowed researchers to identify new subsets of ...

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when ...

Researchers have demonstrated the feasibility of a morphological-based approach to interpreting spatial transcriptomic (ST) data, helping to improve understanding of the lesions that occur in chronic ...

Technological development is key to improving the way hematologic cancer is diagnosed and treated. With this vision, the Josep Carreras Leukemia Research Institute is committed to the creation and ...

Multi-omics refers to an integrated approach that combines data from multiple "omics" technologies to provide a holistic ...

Disease microbiology is a vast field of research, especially encompassing the recent and rapid advancements of omics science ...

In the rapidly developing field of spatial biology, researchers are working to expand our understanding of biological processes within their spatial context. Scientists are taking a holistic approach ...