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.

Scientists at Northwestern University have developed the largest open-access resource of its kind to help researchers shave off months of early-stage drug development time by allowing them to better ...

Fei Chen and Chenlei Hu at the Broad Institute of MIT and Harvard have developed a new imaging-free spatial transcriptomics technology that tracks the diffusion of DNA barcodes between beads in an ...

Transcriptomic phenotyping offers mechanistic insight into adipocyte biology and metabolic disease. A signature of adipocyte ...

Knowing the location of a gene within intact tissue or a single cell allows scientists to unlock unknown cellular functions. This information is often lost in most genetic sequencing techniques, but ...

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 ...

Spatial transcriptomics is revolutionizing the study of tissue architecture, cellular states, and tumor-immune interactions in clinical specimens. This presentation introduces the principles and ...

Strapped with an extra APP, people with Down’s syndrome are all but destined to develop Alzheimer’s dementia if they live past middle age. Compared with sporadic forms of the disease, DSAD starts ...