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Automated Detection of Tumor Budding in Colorectal Cancer
TS-039267 — A non-invasive and automated tumor budding image analysis system for colorectal cancer. This program can detect tumor buds in traditional H&E stained sections without the need for manual assessment.
Colorectal cancer is the third most commonly diagnosed cancer in the United States. With a survival rate of less than 65%, early detection and treatment are key factors in survival. Tumor budding, associated with higher tumor stage, lymph node metastasis, and decreased disease-free survival, has e…
  • College: College of Medicine (COM)
  • Inventors: Gurcan, Metin; Ahmad Fauzi, Mohammad Faizal; Chen, Wei "Wei"; Frankel, Wendy
  • Licensing Officer: Norris, Francis "Frank"

Cantilever Design for Measurement of Multi-Physical Properties using Atomic Force Microscopy
TS-036987 — A robust solution that helps researchers increase image and signal accuracy of Atomic Force Microscopy.
Atomic Force Microscopy (AFM) was first used to characterize properties of a sample, including physical, material, electromechanical and chemical properties. For most of these multi-physical characterization schemes, an AFM tip scans over a sample while the tip is in contact with the surface. At t…
  • College: College of Engineering (COE)
  • Inventors: Cho, Han Na "Hanna"; Bergman, Lawrence A; Dharmasena, Sajith; Kim, Seok; Vakakis, Alexander F.
  • Licensing Officer: Zinn, Ryan

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