A new spatial transcriptomic technology captures RNA patterns without requiring expensive imaging ...
Before the development of efficient single-cell technologies such as single-cell RNA sequencing, researchers studied genes, gene expression and proteins in bulk. These methods report the molecular ...
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 ...
A new software tool, ovrlpy, improves quality control in spatial transcriptomics, a key technology in biomedical research. Developed by the Berlin Institute of Health at Charité (BIH) in international ...
The Enable Atlas comprises over 100 million single cells, spanning 8,500+ samples and 15+ cancer types, with rich cellular features, including up to 60 protein biomarkers, accompanying H&E images and ...
In a recent study published in the journal Nature, researchers developed spatial aging clocks using single-cell transcriptomics to explore cell-type-specific interactions and their impact on brain ...
Dr. Xuyu Qian in his current laboratory, standing beside a collection of external hard drives containing raw spatial transcriptomics data from his groundbreaking human brain development research. The ...
This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.
Complete Genomics will share details of various multi-omics and spatial transcriptomics applications based on its sequencing technology at the 2024 American Society of Human Genetics (ASHG) Meeting.
A newly installed 3D spatial multi-omics system enables intact tissue analysis up to 100 microns thick, helping researchers build detailed atlases of the human eye and sensory tissues, and uncover ...
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