Company Filing History:
Years Active: 2017-2022
Title: Matthew Kupinski: Innovator in Multi-Layer Structures and Motion Artifact Correction
Introduction
Matthew Kupinski is a prominent inventor based in Tucson, AZ. He has made significant contributions to the fields of multi-layer structures and motion artifact correction. With a total of 3 patents, his work has advanced the understanding and application of these technologies.
Latest Patents
Kupinski's latest patents include innovative systems and methods for assessing multi-layer structures. His first patent focuses on the measurement of multi-layer structures, utilizing low coherence interferometry to generate a spectrum array. This spectrum is then input into a statistical estimator that determines the thickness and layer number based on various factors, including source intensity noise, Poisson noise, and dark noise.
Another notable patent addresses motion artifact correction. This invention provides methods and devices designed to correct imaging artifacts related to motion. The methods involve positioning a device to detect motion at a specific region of interest, simultaneously obtaining both image data and motion data. An algorithm is then employed to identify periods of motion and correct the corresponding image data.
Career Highlights
Matthew Kupinski has worked at esteemed institutions such as the University of Arizona and the University of Rochester. His experience in these academic environments has allowed him to collaborate with leading researchers and contribute to groundbreaking projects.
Collaborations
Some of his notable coworkers include Jinxin Huang and Jannick P Rolland. Their collaborative efforts have further enhanced the impact of Kupinski's inventions.
Conclusion
Matthew Kupinski's innovative work in multi-layer structures and motion artifact correction showcases his expertise and dedication to advancing technology. His contributions continue to influence the fields he is involved in, making him a significant figure in the realm of invention.