Prisma Bioinnovations (@PrismaBio) profile picture

Prisma Bioinnovations

@PrismaBio

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

Joined January 2020
  • Tweets8.9K
  • Following1.3K
  • Followers426
1.7KMedia
Photo by Prisma Bioinnovations (@PrismaBio)Photo by Prisma Bioinnovations (@PrismaBio)Photo by Prisma Bioinnovations (@PrismaBio)Photo by Prisma Bioinnovations (@PrismaBio)Photo by Prisma Bioinnovations (@PrismaBio)Photo by Prisma Bioinnovations (@PrismaBio)Photo by Prisma Bioinnovations (@PrismaBio)Photo by Prisma Bioinnovations (@PrismaBio)Photo by Prisma Bioinnovations (@PrismaBio)Photo by Prisma Bioinnovations (@PrismaBio)
New technical paper to support recent PCT: The Z-Model Framework: Geometric and Functional Surface Analysis in Heterogeneous Interaction Systems doi.org/10.5281/zenodo.23411…

The Z-Model Framework: Geometric and Functional Surface Analysis in Heterogeneous Interaction...

Surface area can help describe how particles, cells, and other structures may interact, but total area alone does not capture whether a particular partner can reach or use that surface. The Z-Model...

zenodo.org
1
1
3
800
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.
1
1
4
863
DIVERGENT Scientific Intelligence builds on previously filed patent applications covering independent multi-model AI reasoning, divergence analysis, and human-governed decision-making. Patent Pending.
1
23
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…
Image from Prisma Bioinnovations (@PrismaBio)
1
78
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
Image from Prisma Bioinnovations (@PrismaBio)
1
1
3
1,741
It’s focused on whether results are the correct previous or desired result rather than matching exact human or robotic movement.​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​ 2/2
2
29
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…
Image from Prisma Bioinnovations (@PrismaBio)
1
4
1,110
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…
Image from Prisma Bioinnovations (@PrismaBio)
1
4
1,173
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… 1/
2
1
33
PCT filed by: Melinda B. Chu Solo Inventor
1
10
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… 4/
1
12
become an increasingly important component of reliable computer vision systems. 5/
14
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.
Image from Prisma Bioinnovations (@PrismaBio)
1
1
2
149
Adaptive Matrix Conditioning PCT files by: Melinda B. Chu Solo Inventor
1
12
New Technical Note: Standardized Image Acquisition Using Portable Controlled Optical Imaging Environments. Reducing lighting, geometry & background variability for more reproducible smartphone-based fluid analysis. Accompanies provisional filing.
doi.org/10.5281/zenodo.20606…

Standardized Image Acquisition Using Portable Controlled Optical Imaging Environments for Fluid...

Image-based analysis of fluids is highly sensitive to variability in lighting, camera position, viewing angle, background, and sample presentation. These factors can reduce reproducibility and...

zenodo.org
19
New Technical Note: Adaptive Matrix Conditioning for Environmental & Biological Samples. Accompanies recent provisional filing.
doi.org/10.5281/zenodo.20605… 1/2

Adaptive Matrix Conditioning for Environmental and Biological Samples Prior to Optical Analysis

Optical analysis of environmental and biological samples is often limited by matrix-specific interferences such as dissolved organic matter (DOM), mineral hardness, turbidity, and biological consti...

zenodo.org
1
18
Different matrices (mineralized vs DOM-rich waters) respond differently to conditioning strategies — supporting matrix-aware approaches for better optical analysis. 2/2
12
New Technical Paper: "Conceptual Z-Site Occupancy and Optical Analysis Behaviors Across Under-Dosed and Over-Dosed Reagent Conditions" doi.org/10.5281/zenodo.20252… 1/
1
1
29
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.
Image from Prisma Bioinnovations (@PrismaBio)
1
37
Load more