This inventor holds 1 USPTO granted patent. Top assignee: The State University of New York. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Innovations of Saeed Boorboor in Brain Imaging Technology
Introduction
Saeed Boorboor is an accomplished inventor based in Lake Grove, NY (US). He has made significant contributions to the field of brain imaging technology. His innovative work focuses on processing brain images and extracting neuronal structures, which has important implications for biological research and medical applications.
Latest Patents
Saeed Boorboor holds a patent for a system, method, and computer-accessible medium for processing brain images and extracting neuronal structures. This exemplary patent outlines a method for generating images of anatomical structures in biological samples. The process involves receiving wide field microscopy imaging information and applying various techniques, such as gradient-based distance transforms and anisotropic diffusion procedures, to enhance the imaging results. The patent emphasizes the importance of accurately generating second imaging information to improve the visualization of neuronal structures.
Career Highlights
Saeed Boorboor is affiliated with the State University of New York, where he contributes to research and development in the field of imaging technology. His work has garnered attention for its innovative approach to analyzing complex biological samples.
Collaborations
Saeed Boorboor collaborates with Arie E Kaufman, a fellow researcher in the field. Their partnership enhances the research capabilities and fosters innovation in brain imaging technology.
Conclusion
Saeed Boorboor's contributions to brain imaging technology through his patent and collaboration with esteemed colleagues highlight his role as a significant inventor in this field. His work continues to pave the way for advancements in understanding neuronal structures and their implications in biological research.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
