LinkedIn·Thursday, 13 August 2026·13d ago

🤔 "Does cell A interact with cell B in my samples?" "What characterizes responders vs. non-responders?" These are the questions driving…

Aspect Analytics

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🤔 "Does cell A interact with cell B in my samples?" "What characterizes responders vs. non-responders?" These are the questions driving spatial biology forward. But most analysis pipelines were built for single-cell data — looking mainly at the molecular profile of cells, with spatial context bolted on as an afterthought. That works fine for simple questions like: "What are tumor cells, and where are they?" It breaks down fast for harder ones like: "Where does my tumor exhibit heterogeneity?" "What's the difference between these tumor regions?" 𝗧𝗵𝗶𝘀 𝗶𝘀 𝘁𝗵𝗲 𝗴𝗮𝗽 𝗖𝗲𝗹𝗹𝘂𝗹𝗮𝗿 𝗡𝗲𝗶𝗴𝗵𝗯𝗼𝗿𝗵𝗼𝗼𝗱 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗶𝗻 𝗪𝗲𝗮𝘃𝗲® 𝘄𝗮𝘀 𝗯𝘂𝗶𝗹𝘁 𝘁𝗼 𝗰𝗹𝗼𝘀𝗲. By combining powerful molecular signatures with trusted tissue architecture, Cellular Neighborhoods are a new class of spatio-molecular biomarkers to help researchers answer questions about tissues in health and disease. ✅ Weave provides tools to analyze and interpret cellular neighborhoods, all at the click of a button. ✅From simply looking at which cell types are found in different neighborhoods, to statistical tests that turn a spatial pattern into a biological story. 𝗜𝗻 𝘀𝗵𝗼𝗿𝘁: this is where molecular biology and histology finally meet — in one quantitative framework. Want to learn more or talk specifics? Contact us now! #Weave #CellularNeighborhoods #spatialbiology #spatialmultiomics #histology #bioinformatics #neuroscience #cancerresearch #targetdiscovery #drugdevelopment #ai4smox Lung cancer sample from https://lnkd.in/dr2jaPki. Thanks to poh sheng JOE YEONG, A*STAR - Agency for Science, Technology and Research for the sample.