The field of spatial transcriptomics utilizes technologies that map gene expression data to specific cellular locations within tissues. While traditional RNA sequencing methods generate quantitative ...

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.

Integrated mass spectrometry imaging and spatial transcriptomics reveal that amyloid-β plaques differ in composition and local tissue responses, offering insight into Alzheimer’s disease heterogeneity ...

In this session, Dr. Ray will show how single-cell spatial transcriptomics with MERFISH 2.0™ chemistry enables detailed mapping of the brain and deeper insight into the cellular and molecular changes ...

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 ...

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 ...

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 ...

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 ...