This inventor holds 1 USPTO granted patent. Top assignee: Hinalea Imaging Corp.. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Innovations of Jai Hebel in Biological Cell Typing
Introduction
Jai Hebel is an innovative inventor based in Emeryville, CA (US). He has made significant contributions to the field of biological imaging and cell analysis. His work focuses on developing advanced systems for typing biological cells, which can have profound implications in medical diagnostics and research.
Latest Patents
Jai Hebel holds a patent for a system designed for typing biological cells. This system includes a tunable Fabry-Perot etalon, an imaging sensor, and a processor. The imaging sensor captures images of biological cells by utilizing light transmitted through the tunable Fabry-Perot etalon. Each image reflects signals associated with various wavelengths. The processor is equipped to determine the type of each biological cell using a machine learning algorithm. This determination process incorporates techniques such as image segmentation, patch extraction, feature extraction, feature compression, deep feature extraction, feature fusion, feature classification, and prediction map reconstruction. He has 1 patent to his name.
Career Highlights
Jai Hebel has established himself as a key figure in the field of biological imaging. His innovative approach to cell typing has garnered attention and recognition within the scientific community. His work is instrumental in advancing the capabilities of biological analysis.
Collaborations
Jai collaborates with talented individuals such as Alexandre Fong and Guocai Shu. Their combined expertise contributes to the development of cutting-edge technologies in biological imaging.
Conclusion
Jai Hebel's contributions to the field of biological cell typing exemplify the impact of innovation in science and technology. His work not only enhances our understanding of biological systems but also paves the way for future advancements in medical diagnostics.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile