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 transcriptomics is a technique that provides information about gene expression patterns within intact tissues. This technology employs various methodologies, including in situ sequencing (ISS) ...

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 ...

PALO ALTO, Calif.--(BUSINESS WIRE)--Curio Bioscience today announced it has commenced commercial operations with the launch of Curio Seeker, the world’s first high-resolution, whole-transcriptome ...

Applying single-cell RNA sequencing has led researchers to be able to profile the entire transcriptome of cells. However, these transcriptomes prove difficult to link back to their original location ...

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 ...

Nova-ST, a new spatial transcriptomics technique, has been introduced by researchers based at Vlaams Instituut voor Biotechnologie (VIB), Katholieke Universiteit (KU) Leuven. According to the ...