Identifying and characterizing the multitude of cell types that make up the brain is fundamental to understanding their function in health and disease. Single-cell RNA sequencing (scRNA-seq) ...

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.

In a recent study published in the journal Nature, researchers developed spatial aging clocks using single-cell transcriptomics to explore cell-type-specific interactions and their impact on brain ...

High-resolution spatial transcriptomics and imaging-based technologies are now generating large-scale, multi-dimensional datasets that are beginning to reshape how we understand tissue organisation, ...

The breakthrough equips scientists with state-of-the-art tools to study complex tissue structures and cellular interaction. Credit: CI Photos via Shutterstock. · Medical Device Network · CI Photos via ...

Certain cells in the brain create a nurturing environment, enhancing the health and resilience of their neighbors, while others promote stress and damage. Using spatial transcriptomics and AI, ...

Spatial transcriptomics provides a unique perspective on the genes that cells express and where those cells are located. However, the rapid growth of the technology has come at the cost of ...

Salk researchers used spatial transcriptomics to map where different cell types reside in the mouse brain. Shown are excitatory neurons (left, blue), inhibitory neurons (middle, red), and non-neuronal ...