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

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

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 ...

Discover how the computational analysis of high-plex imaging can enhance spatial resolution and reproducibility to advance biological insights. In this webinar, Hideki Furuya, Associate Professor at ...

Single-cell RNA transcriptomics allows researchers to broadly profile the gene expression of individual cells in a particular tissue. This technique has allowed researchers to identify new subsets of ...

For spatial biology to deliver on its potential, foundational aspects of the spatial analysis workflow need to be executed with precision. Here, Kalins Banerjee and Evan Keller explain the importance ...

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 ...

Abstract: Spatial transcriptomics has emerged as a transformative technology for mapping gene expression within tissue contexts, offering unprecedented insights into disease mechanisms. However, ...

Formalin-fixed, paraffin-embedded (FFPE) tissues represent the predominant sample conservation method in clinical practice, yet degraded and crosslinked RNA has long limited whole-transcriptome ...