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
Mass Casualty Incident Virtual Reality Training Simulation
TS-062343 — The Need:
In the face of mass casualty incidents, first responders play a critical role in saving lives and minimizing the impact of disasters. However, traditional training methods using mock patients or mannequin simulators for mass casualty triage are costly, challenging to replicate, and requir…
- College: College of Arts & Sciences
- Inventors: Price, Alan; Berezina-Blackburn, Vitalya; Oliszewski, Alex; Swearingen, Scott; Winegardner, Zachary
- Licensing Officer: Dahlman, Jason "Jay"
Correcting Signal Inhomogeneity in Magnetic Resonance Imaging (MRI)
TS-062309 — The Need: Signal intensity inhomogeneity in Magnetic Resonance (MR) imaging presents a significant challenge, leading to degradation in image quality, obstructed diagnoses, reduced accuracy in quantitative analyses, and increased inter-scanner variability. The lack of effective inhomogeneity correct…
- College: College of Arts & Sciences
- Inventors: Wang, Jinghua; Constable, Robert; Lu, Zhong-Lin
- Licensing Officer: Dahlman, Jason "Jay"
Accurate Characterization of Signal Coil Receive Sensitivity in Magnetic Resonance Imaging (MRI)
TS-062307 — The Need: Accurate characterization of receiver sensitivity is crucial for magnetic resonance imaging (MRI) techniques, particularly fast MRI using multi-channel coils. Different coils sample various parts of the k-space simultaneously during parallel MRI, and the final image's accuracy depends …
- College: College of Arts & Sciences
- Inventors: Wang, Jinghua; Lu, Zhong-Lin
- Licensing Officer: Dahlman, Jason "Jay"
Virtual image generation of immunohistochemical stained tissue sections using an artificial neural network
TS-039781 — Realistic immunohistochemical stained tissue section databases for training, certification, and machine standards.
Immunohistochemistry (IHC) is used to determine antigen distribution in a tissue and is widely used for diagnosis of cancers and other diseases. Diagnostic and research laboratories in the United States use locally devised IHC tissue slide preparation and scanning protocols to check scanner perfor…
- College: College of Medicine (COM)
- Inventors: Gurcan, Metin; Lozanski, Gerard; Senaras, Caglar
- Licensing Officer: Hampton, Andrew