We are building what was once impossible—uniting cellular and tissue architecture with multiplexed molecular information to power breakthroughs in drug discovery, diagnostics, and systems biology.
Our Vision
Our team is developing an AI-powered technology platform that combines innovations in chemistry, physics, and artificial intelligence to provide biologists with the detail, specificity, spatial context, and scale needed to map and digitally replicate biological systems.
Our Capabilities
A radical 10,000x volumetric expansion of biological tissues
pan-ExM expands biological tissue 20x linearly (or 10,000x volumetrically) while preserving molecular integrity and spatial relationships at the nanoscale.
This process reaches 15-nanometer effective resolution, producing molecular separation and optical transparency that reveal each protein within its intact structural environment.
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pan-staining reveals ultrastructure with light
Developed as the first optical analog to electron microscopy’s heavy-metal stains, our patented pan-staining contrast renders the ultrastructural landscape of cells directly visible under fluorescence microscopy—bridging the gap between molecular biochemistry and cellular architecture.
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FLASH-plex enables protein multiplexing in 3D
Our patented FLASH-plex chemistry introduces a barcoded, wash-free method to rapid multiplexed labeling.
Instead of the slow hybridization cycles and harsh washes of current techniques, FLASH-plex uses transient DNA adapters and erasers to exchange fluorescent tags within minutes.
The result is fast, gentle, and full compatibility with expanded samples, making 3D proteomic mapping finally practical and scalable.
Teaching AI to see structure through molecular labeling
We are developing machine learning pipelines that use molecular channels as built-in annotations to train segmentation models directly on the structural signal.
In electron microscopy, human experts must manually label grayscale images to teach algorithms what they see. In our system, molecular channels serve as intrinsic ground truth—automatically guiding AI to recognize and reconstruct structure from protein contrast itself.
Technology Pipeline
panluminate currently offers phase one technology, with phase two in active development. Phase three, an integrated platform, is planned for launch after 2030.