A novel spatial transcriptomics atlas developed by Northwestern Medicine scientists may improve the understanding of niche ...

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.

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-biology tools are collecting more comprehensive data, and companies that want to model cells in silico are hoovering ...

Breakthrough research details how distinct tissue niches and cell communication contribute to chronic active lesions in MS. Study: Cell type mapping reveals tissue niches and interactions in ...

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

Key opportunities in the Global Spatial Genomics and Transcriptomics Market include technological advancements in spatial ...

Spatial transcriptomics data from osteosarcoma cells. Left) A spatial map of the transcriptome segmented into individual cells using machine learning, with each dot representing a RNA transcript and ...

In this session you will learn how spatial transcriptomics with single-cell resolution enable detailed cellular mapping of ...

A team led by Cedars-Sinai Health Sciences University investigators has created a faster, cheaper way to determine the genes ...