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 ...

This article explores how researchers are using spatially resolved methods to explore diverse biological processes from development and tumorigenesis to fibrosis, neurodegeneration, infection and ...

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.

Stem cells in most organisms typically take cues from adjacent cells. But new research from the Stowers Institute for Medical Research reveals planarian stem cells ignore their nearest neighbors and ...

Biological systems are inherently three-dimensional—tissues form intricate layers, networks, and architectures where cells interact in ways that extend far beyond a flat plane. To capture the true ...

Illumina has announced the development of an advanced spatial transcriptomics technology, with commercial availability expected in 2026. This next-generation solution is designed to enhance ...

In multicellular organisms, each cell is influenced by the others in its surrounding environment, and the maintenance of cellular and tissue spatiality – or lack thereof – carries significant ...

Scientists at Duke-NUS Medical School have developed two powerful computational tools that could transform how researchers ...

Dublin, Nov. 20, 2024 (GLOBE NEWSWIRE) -- The "Spatial Genomics and Transcriptomics - Global Strategic Business Report" report has been added to ResearchAndMarkets.com's offering. The global market ...