Researchers have demonstrated the feasibility of a morphological-based approach to interpreting spatial transcriptomic (ST) data, helping to improve understanding of the lesions that occur in chronic ...

Explore how to use a highly multiplexed and sensitive spatial analysis tool to decipher the molecular landscape of complex neurodegenerative disease This webcast will explore how to use a highly ...

A new multiplex immunofluorescence workflow using standard laboratory equipment and open-source software enables detailed ...

The researchers have developed a novel deep learning framework that integrates high-resolution pathology images with spatial transcriptomics and proteomics to reveal the complex intra-tumor ...

A novel study has found that obesity is associated with a distinct molecular program driving the transition from early-stage, ...

Plant immunity research has undergone a transformative shift with the advent of spatial and single-cell technologies, ...

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 ...

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 ...

Illumina's spatial transcriptomics offering is slated to provide analyses of millions of cells per experiment across a 50 mm by 15 mm imaging area. (Pixabay) Illumina is raising the curtain on its ...

A study in The American Journal of Pathology introduces a method to combine traditional histopathology with spatial transcriptomic data, paving the way for the future of molecular microscopy and ...