New PCT Filing: Standardized Optical Imaging for Computer Vision
Computer vision begins long before artificial intelligence analyzes an image.
During field testing, we observed that identical samples often produced noticeably different photographs…
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normalization, image quality assessment, and related approaches applicable to environmental monitoring, diagnostics, industrial testing, and other image-based analytical workflows.
As AI continues to transform scientific measurement, standardized image acquisition will…
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Different matrices (mineralized vs DOM-rich waters) respond differently to conditioning strategies — supporting matrix-aware approaches for better optical 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.
New Technical Paper:
"Conceptual Z-Site Occupancy and Optical Analysis Behaviors Across Under-Dosed and Over-Dosed Reagent Conditions"
https://t.co/4V5Vo6mqOI
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Check out our new Technical Paper:
Workflow-Induced Shear as a Hidden Source of Variability in Particulate Systems: Introduction of Substantially Zero-Shear Protocols
https://t.co/NismbhPCID
Public Disclosure Nonprovisional 19/672,559)
Nonprovisional patent filed.
Authorized disclosure under Averitas Holdings LLC → Prisma Bioinnovations sublicense.
Original inventor and owner: Dr. Melinda B. Chu.
Priority claims trace to Nov 2023.
Documented in the Human Conception Ledger™
New Technical Paper:
The Z-Model: A Unified Accessible Surface Area Framework for Predicting Particulate Behavior Across Environmental, Biological, and Material Systems
https://t.co/coZeH46Wtz
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The Z-Model shows that real behavior (optical, chemical, biological) is governed by accessible surface area and its quantized interaction units (Z-sites), not just particle count or size.
Shape-invariant. Matrix-invariant. Predictive across multiple fields / industries.
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Data flywheels can turn decentralized environmental testing into real-time intelligence. Camera or field tools + geospatial analytics + quality controls + can generate dense, longitudinal data for environmental contaminants like MPs or PFAS. water quality &.evidence-based policy.
New Technical Paper: Toward a Policy-Driven Data Flywheel for Scalable Real-Time Water Intelligence: A Framework for Decentralized Environmental Monitoring
https://t.co/RbcEFNuiTn
Provisional patent filed.
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Published: Version 1 framework for optical metrology-based field detection, with microplastics as an initial use case toward scalable environmental sensing.
https://t.co/4BVgkq55ov