Saanichton, Canada

James Fujimoto

USPTO Granted Patents = 2 

Average Co-Inventor Count = 3.4

ph-index = 1


Company Filing History:


Years Active: 2025

Loading Chart...
2 patents (USPTO):Explore Patents

Title: Innovations by James Fujimoto

Introduction

James Fujimoto is an accomplished inventor based in Saanichton, CA. He has made significant contributions to the field of radiation detection technology. With a total of 2 patents, his work focuses on enhancing the capabilities and efficiency of X-ray detection systems.

Latest Patents

Fujimoto's latest patents include a "Radiation detector module with local processing unit." This invention features an X-ray detector module equipped with a local processing unit that allows for real-time control and computational capabilities. By integrating these features directly into the detector module, Fujimoto's design offers immediate cost reductions and improved performance opportunities that are not feasible in traditional X-ray imaging systems.

Another notable patent is the "Radiation detector unit with three-side buttable read-out integrated circuit and method of making thereof." This invention comprises a read-out integrated circuit (ROIC) with multiple core circuit blocks on a continuous substrate. Each radiation sensor is bonded to a respective core circuit block, allowing for the assembly of detector modules and arrays, along with methods for their operation and manufacturing.

Career Highlights

Fujimoto is currently employed at Redlen Technologies, Inc., where he continues to innovate in the field of radiation detection. His work has been instrumental in advancing the technology used in medical imaging and other applications.

Collaborations

Fujimoto collaborates with talented individuals such as Michael Ayukawa and Glenn Bindley, contributing to a dynamic team focused on cutting-edge technology.

Conclusion

James Fujimoto's contributions to radiation detection technology exemplify the impact of innovative thinking in the field. His patents reflect a commitment to improving the efficiency and capabilities of X-ray detection systems.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…