Spatial transcriptomics data analysis increasingly depends on artificial intelligence (AI) to convert raw, location-tagged gene expression readings into a usable map of tissue biology. Unlike ...

Spatial transcriptomics technologies opened the door for new kinds of biological measurements, allowing scientists to generate detailed maps of where genes are expressed in tissue. But most methods ...

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 ...

New simulator and computational tools generate realistic ‘virtual tissues’ and map cell-to-cell ‘conversations’ from spatial transcriptomics data, potentially accelerating AI-driven discoveries in ...

Conventional transcriptomic techniques have revealed much about gene expression at the population and single-cell level—but they overlook one crucial factor: spatial context. In musculoskeletal ...

Tumors contain many different types of cells organized in complex spatial patterns that can influence how the disease progresses. Because of this, it is hard to predict how a tumor will develop and ...

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 ...

Up to half of patients with Crohn's disease, an inflammatory bowel disease, develop a complication called fibrosis, where the gut becomes scarred and obstructed, causing pain and bloating. Currently, ...

Company plans to showcase new volumetric MERFISH datasets in mouse brain and human neurodegenerative brain tissue, generated on the existing MERSCOPE Ultra™ Platform Vizgen, Inc., a leader in spatial ...

Complete the form below to receive the poster. Spatial transcriptomics has transformed our ability to map gene expression within intact tissues, yet most existing approaches require specialized ...