Researchers have developed REBOSEP, a computational workflow that maps gene expression as a continuous signal across tissue ...

A new computational framework called CellART unifies cell segmentation and cell-type annotation across high-resolution ...

Spatial transcriptomics can reveal where thousands of genes are active across a tissue, creating molecular maps at ...

Researchers at the University of Liège have used imaging-based spatial single-cell transcriptomics to map the cellular ...

Spatial transcriptomics (ST) shows which genes are being expressed and where within a tissue. Spatial metabolomics (SM), on ...

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 ...

Kelly Parliament, staff application scientist at Beckman Coulter Life Sciences, discusses how automation is improving the efficiency of single-cell transcriptomic workflows. Single-cell ...

Technological development is key to improving the way hematologic cancer is diagnosed and treated. With this vision, the Josep Carreras Leukemia Research Institute is committed to the creation and ...

Transcriptomics is the study of the transcriptome—the complete set of RNA transcripts that are produced by the genome, under specific circumstances or in a specific cell—using high-throughput methods, ...

Scientists can now detect molecular features in place at single-cell resolution, but existing spatial transcriptomics technologies remain expensive and difficult for many laboratories to adopt.

Spatial transcriptomics now spans two fundamentally different measurement strategies, and the choice between them shapes every downstream result a lab will generate. Sequencing-based platforms capture ...