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The questions that matter most in spatial biology are rarely the simple ones. Intricate cellular interactions. Phenotype distributions across complex tissue architecture. Microenvironmental dynamics that only emerge when you look at the neighbourhood, not just the cells. Glint Lab chose Phenoplex to enable them to reveal spatial relationships in ways comparable tools can't. It offers answers to complex questions their clients need to advance their scientific progress. See how they work.

Multiplex data keeps getting richer, but analysis isn’t keeping up. Most teams: • Use fragmented tools • Cannot easily relate results to biology • Settle for shallow analysis Read the whitepaper to see how much biological insight you can extract from a single image.

What does it take to turn spatial biology into findings you can actually act on? In her lab, Prof. Heather Stevenson-Lerner’s team: • Runs spatial analysis in-house with reproducible workflows • Validated results with an independent bioinformatics group • Generated outputs linked to druggable targets See how they extract data from the liver microenvironment with Phenoplex.

The real cost isn't generating the data but what you fail to extract from it. See how many questions can be addressed through a streamlined analysis workflow.

Most image analysis tools weren’t built for the questions spatial biology is now asking. See how Glint Lab found a solution that was.

Learn how Prof. Stenson-Lerner's team leveraged validated spatial analysis to uncover unique human biological insights.