Prioritize recurring consumables, AI analytics, FFPE-compatible automation and end-to-end workflows; target oncology, research institutes and CRO partnerships.Dublin, Oct. 08, 2026 (GLOBE NEWSWIRE) -- ...
A new computational framework called STARIT converts the spatial positions of mRNA molecules inside cells into image tensors, ...
A new computational framework called CellART unifies cell segmentation and cell-type annotation across high-resolution ...
8don MSN
New algorithm makes maps of gene activity easier to compare while preserving cell-level detail
Spatial transcriptomics can reveal where thousands of genes are active across a tissue, creating molecular maps at ...
Precision medicine, drug discovery and cell/gene therapies are driving adoption, creating opportunities in automation, spatial multi-omics, AI bioinformatics and clinical diagnostics.Dublin, Sept. 24, ...
Capturing spatial information is essential to elucidate how cells function and interact within their native tissue environment. However, the initial spatial transcriptomics techniques have several ...
Since its inception, spatial biology has proven a revolutionary frontier in life science research. However, there is still plenty of room for growth in the systems we use to conduct spatial biology ...
For the first time, scientists have created a single-cell and spatial transcriptomics framework to investigate damage to individual cells. The method is based on a computer-assisted approach that ...
Researchers increasingly turn to single-cell sequencing to answer a range of biological questions, with published single-cell data increasing year over year. As its popularity rises, so does the need ...
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