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 ...
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 ...
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 ...
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 ...
The heart and brain are among the earliest and most metabolically demanding organs in human development. Though historically studied in isolation, both ...
Knowing the location of a gene within intact tissue or a single cell allows scientists to unlock unknown cellular functions. This information is often lost in most genetic sequencing techniques, but ...
Announcing a new article publication for BIO Integration journal. Alzheimer's disease (AD) is a neurodegenerative disorder and the leading cause of dementia worldwide. Microglia, as central nervous ...
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 ...
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