Innovating Science Through Advanced AI and
Materials Science Technologies
Empowering scientific discovery and innovation
We develop foundational technologies in AI, optical metrology, computer vision, data systems, materials science, advanced particulate & powder systems, powder & colloid science, and cross-industry sensing platforms available for
collaboration, licensing, and strategic partnerships.
Selected Technical Papers Below at Bottom
Technology Platforms / Potential Licensing Areas Optical Metrology Generalized imaging systems for liquids, gels, particles, air, and dynamic materials. Computer Vision + AI Image-based classification, quantification, anomaly detection, pattern recognition. Environmental Intelligence Distributed sensing, geospatial mapping, citizen science data networks, real-time monitoring. Adaptive Analytics Dynamic endpoint detection, process control, real-time workflow optimization. Particle Science Platforms Z-Model, surface-area frameworks, aggregation systems, particulate detection. Digital Infrastructure Data flywheels, dashboards, APIs, scalable analytics platforms. Example Industries Water & Environment Pharma / Biotech Food & Beverage Manufacturing QA Agriculture Consumer Diagnostics Smart Cities / Infrastructure Research Tools Defense / Field Systems
Technology Platforms / Potential Licensing Areas Optical Metrology Generalized imaging systems for liquids, gels, particles, air, and dynamic materials. Computer Vision + AI Image-based classification, quantification, anomaly detection, pattern recognition. Environmental Intelligence Distributed sensing, geospatial mapping, citizen science data networks, real-time monitoring. Adaptive Analytics Dynamic endpoint detection, process control, real-time workflow optimization. Particle Science Platforms Z-Model, surface-area frameworks, aggregation systems, particulate detection. Digital Infrastructure Data flywheels, dashboards, APIs, scalable analytics platforms. Example Industries Water & Environment Pharma / Biotech Food & Beverage Manufacturing QA Agriculture Consumer Diagnostics Smart Cities / Infrastructure Research Tools Defense / Field Systems
Selected Technical Papers
From Cameras to Chemical Sensors: The Rise of Computational Assayshttps://doi.org/10.5281/zenodo.19801210
The Z-Model: A Unified Accessible Surface Area Framework for Predicting Particulate Behavior Across Environmental, Biological, and Material Systemshttps://doi.org/10.5281/zenodo.19659126 Introducing the Spatiotextural Computer Vision Approach to Optical Assays: A Framework for Quantitative Analysis of Assay-Generated Spatial Patterns and Texture. https://doi.org/10.5281/zenodo.22721277 Beyond Object Detection: AI for Optical Assays and Real-World Diagnostic Intelligence. https://doi.org/10.5281/zenodo.19873271 Signal Generation and Pattern-Based Detection: Microplastics-Nanoplastics, PCR, and ELISA.https://doi.org/10.5281/zenodo.19521084 Assay Design for Computer Vision: From Chemical Reactions to Spatiotextural Measurement in Water and Other Liquids. https://doi.org/10.5281/zenodo.22729884 Computer-Vision Measurement of Suspended Solids: A Preliminary Kaolin Model. https://doi.org/10.5281/zenodo.22732054 Spatiotemporal Computer-Vision Measurement of Flocculation and Settling: A Preliminary Kaolin–Polymer Model. https://doi.org/10.5281/zenodo.22733016.
Computer-Vision Measurement of Turbidity in Large-Volume Liquid Samples: Background Selection, Imaging Geometry, and Preliminary Evaluation Against NTU
From Cameras to Chemical Sensors: The Rise of Computational Assayshttps://doi.org/10.5281/zenodo.19801210
The Z-Model: A Unified Accessible Surface Area Framework for Predicting Particulate Behavior Across Environmental, Biological, and Material Systemshttps://doi.org/10.5281/zenodo.19659126 Introducing the Spatiotextural Computer Vision Approach to Optical Assays: A Framework for Quantitative Analysis of Assay-Generated Spatial Patterns and Texture. https://doi.org/10.5281/zenodo.22721277 Beyond Object Detection: AI for Optical Assays and Real-World Diagnostic Intelligence. https://doi.org/10.5281/zenodo.19873271 Signal Generation and Pattern-Based Detection: Microplastics-Nanoplastics, PCR, and ELISA.https://doi.org/10.5281/zenodo.19521084 Assay Design for Computer Vision: From Chemical Reactions to Spatiotextural Measurement in Water and Other Liquids. https://doi.org/10.5281/zenodo.22729884 Computer-Vision Measurement of Suspended Solids: A Preliminary Kaolin Model. https://doi.org/10.5281/zenodo.22732054 Spatiotemporal Computer-Vision Measurement of Flocculation and Settling: A Preliminary Kaolin–Polymer Model. https://doi.org/10.5281/zenodo.22733016.
Computer-Vision Measurement of Turbidity in Large-Volume Liquid Samples: Background Selection, Imaging Geometry, and Preliminary Evaluation Against NTU
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Pioneering advancements in AI, Computer Vision and Materials Science solutions.
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