Prisma Bioinnovations (@PrismaBio) profile picture

Physics-aware AI, optical metrology, and computer vision for real-world science.

Joined January 2020
DIVERGENT Scientific Intelligence platform! Built a working prototype that uses OpenAI and Grok to independently analyze scientific literature, highlight disagreements and evidence gaps, and support human-directed research decisions.
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From Plastic Surface Chemistry to the Z-Model: Surface Area, Interfacial Reactivity, and the Evolution of a Cross-Domain Research Framework (2024–2026) doi.org/10.5281/zenodo.23425…
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New PCT filed: System and Methods for Generating Reproducible Digital Twins For lab assays and extending to manufacturing outputs for many other industries. 1/2
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New Technical Paper which demonstrates Spatiotextural Approach is not limited to microplastics / nanoplastics. Assay Design for Computer Vision: From Chemical Reactions to Spatiotextural Measurement in Water and Other Liquids doi.org/10.5281/zenodo.22729…
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Introducing the Spatiotextural Computer Vision Approach to Optical Assays The framework analyzes assay-generated spatial patterns, texture, gradients, and intensity distributions, even when individual particles cannot be directly seen or counted. doi.org/10.5281/zenodo.22721…
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PCT application filed describing Adaptive Matrix Conditioning: a generalized framework for improving analytical performance by first defining desired analytical performance, determining matrix / liquid constraints, and applying targeted conditioning prior to analysis.
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In particulate systems, under-dosed reagent may underestimate concentration due to incomplete Z-site occupancy. Correct or over-dosed? All Z-sites are occupied excess reagent simply settles while central optical analysis stays accurate. Spontaneous observation.
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New Technical Paper: The Z-Model: A Unified Accessible Surface Area Framework for Predicting Particulate Behavior Across Environmental, Biological, and Material Systems doi.org/10.5281/zenodo.19659… 1/2
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Most lab protocols still rely on fixed times: 60 min. Overnight. But even simple factors like temp matter. Reactions run faster when warm, slower when cold. yet protocols rarely adjust. Our Adaptive Endpoint framework is based on system kinetics, not just a ⏰. NP submitted.
🤖 Made with AI
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Traditional optics reduces complex systems to single numbers (e.g. turbidity or color) at 1 time point. Real materials: liquids, gels, aerosols, aren’t scalar. Our Generalized Optical Metrology framework measures how optical fields evolves over time. Nonprovisional submitted
🤖 Made with AI
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