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Computational Design of Experiment Framework for Processing of Metal Alloys
TS-067792 — A software tool for optimizing the manufacturing process for metal alloys.
Metallic alloys are composed of a homogeneous mixture of two or more metals or of metals and nonmetal or metalloid elements to provide specific characteristics or structural properties. Alloys are used in many applications, such as aircraft, offshore drilling, automobiles, and others. Obtaining t…
  • College: College of Engineering (COE)
  • Inventors: Alexandrov, Boian; Forquer, Matthew; Jang, Eun; Luo, Yuxiang; Stewart, Jeffrey
  • Licensing Officer: Zinn, Ryan

Optimal and Pure Leaf Classification Trees for Machine Learning (ML) Decision-Making
TS-067550 — A method to improve the performance and accuracy of ML-based decision trees.
Decision trees are popular machine learning (ML) methods used in classification and regression problems, and they have numerous applications in the real world. Various industries use decision trees to help decide strategies, investments, and operations. In addition, they are used in healthcare to he…
  • College: College of Engineering (COE)
  • Inventors: Allen, Theodore; Arrey, Evelyn; Booth, Matthew; Liu, Enhao; Mashayekhi, Medhi
  • Licensing Officer: Zinn, Ryan

Unlocking Hidden Opportunities: The Power of Multi-Solution Spatial Aggregation
TS-067434 — The Need Spatial aggregation is crucial in numerous industries where data from low-level spatial units, such as census blocks, must be grouped into larger, meaningful regions. Traditional approaches often struggle with the computational complexity of these tasks and tend to focus on finding a singl…
  • College: College of Arts & Sciences
  • Inventors: Xiao, Ningchuan
  • Licensing Officer: Dahlman, Jason "Jay"

FARMS: Streamlining Farm Transition Planning for a Secure Future
TS-067290 — Farm transition planning is a critical yet complex process for producers, often hindered by the challenge of collecting and organizing asset information. Without a clear understanding of what assets are owned, their value, and how they are titled, farm transition planning becomes a guessing game r…
  • College: College of Food, Agricultural, and Environmental Sciences (CFAES)
  • Inventors: Moore, Robert; Marrison, David
  • Licensing Officer: Panic, Ana

AIDRIN (AI Data Readiness Inspector)
TS-067116 — AIDRIN (AI Data Readiness INspector) is a system designed to comprehensively evaluate datasets through a diverse range of metrics, giving an overall perspective on their readiness for AI applications.
In the contemporary digital landscape, the explosive growth in data generation has created a pressing need for efficient and scalable database systems. Traditional databases struggle with the increasing volume, variety, and velocity of data, leading to performance bottlenecks, high operational cos…
  • College: College of Engineering (COE)
  • Inventors: Byna, Suren; Hiniduma, Kaveen
  • Licensing Officer: Zinn, Ryan

Dust Analysis: A Novel Approach to Monitoring Viral Spread
TS-066962 — The Need Viral disease surveillance (e.g. influenza, SARS-CoV-2) in high-risk settings faces several challenges, such as asymptomatic carriers, incomplete reporting, resource limitations, and delayed diagnosis of traditional swab test methods. These challenges could allow a virus to silently spread…
  • College: College of Engineering (COE)
  • Inventors: Dannemiller, Karen; Faith, Seth; Hull, Natalie; Nastasi, Nick; Renninger, Nicole
  • Licensing Officer: Ashouripashaki, Mandana

Smartphone Detection Kit for Airborne Formaldehyde and Allergens
TS-066960 — The Need Indoor air can be polluted by various sources, including building materials, furniture, cleaning products, and even people. Exposure to these resulting contaminants and allergens can lead to a variety of health problems, such as respiratory irritation, allergies, and even cancer. It is cur…
  • College: College of Engineering (COE)
  • Inventors: Dannemiller, Karen; Parquette, Jonathan; Qin, Rongjun
  • Licensing Officer: Ashouripashaki, Mandana

Unveiling the Nanoscale: Breakthrough Analytical Speed of Real-Time Super-Resolution Microscopy and Beyond
TS-066926 — This Ohio State University software innovation offers groundbreaking analytical speed and automation of Single-Molecule Localization Microscopy (SMLM) as well as analysis of 3D data and images extending beyond the field of microscopy. Our technology offers real-time spatial analysis in continuous and discrete space, enabling unprecedented speed and efficiency in data processing that translates into faster decision-making, high-throughput screening capabilities, and broad applicability beyond traditional microscopy.
Single-molecule localization microscopy (SMLM) describes a family of fast-evolving, powerful imaging techniques that dramatically improve spatial resolution over standard, diffraction-limited microscopy techniques and can image biological structures at the molecular scale. SMLM can now be performe…
  • College: College of Engineering (COE)
  • Inventors: Soltisz, Andrew; Veeraraghavan, Rengasayee
  • Licensing Officer: Zinn, Ryan

BDAMPER: Advanced Application Software for Dynamic Analysis and Design of Friction Damper Structures
TS-066234 — In the realm of rotating machinery and structural engineering, the need to manage and mitigate vibrations is paramount. Excessive vibrations can lead to material fatigue, operational inefficiency, and catastrophic failures. Industries require a sophisticated, accurate, and versatile tool to design…
  • College: College of Engineering (COE)
  • Inventors: Menq, Chia-Hsiang; Yang, Been-Der
  • Licensing Officer: Zinn, Ryan

3D Object-based Segmentation-based Quantification of Spatial Protein Organization (OBS3D)
TS-066233 — Protein analysis is foundational to understanding human physiology and is helpful for basic research, diagnosis, guiding treatment, and monitoring of human disease. There are several widely used platforms for evaluating protein function. The primary tools used in protein analysis on cells and tissues include antibody/aptamer, fluorescent detection systems, and mass spectrometry.
Colocalization analysis is the current standard technique for assessing spatial association of co‐labeled proteins in cells using multicolor immunofluorescence images. However, these tools are limited because multiple antigens nearby exhibit overlapping staining, which leads to inaccurate analys…
  • College: College of Engineering (COE)
  • Inventors: Veeraraghavan, Rengasayee
  • Licensing Officer: Zinn, Ryan

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