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

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 ...

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 ...

This review, led by a team of prominent researchers from Zhejiang University (Guoji Guo, Hongshan Guo, Yijun Ruan, Yongcheng Wang), Peking University (Zemin Zhang, Dong Xing), and BGI Research (Xun Xu ...

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 ...

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 ...

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 ...

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 ...