Salt Lake City, UT, United States of America

Aditya K Kaza


 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 92(Granted Patents)


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: Aditya K Kaza: Innovator in Fluorescence Imaging Technology

Introduction

Aditya K Kaza is a notable inventor based in Salt Lake City, UT (US). He has made significant contributions to the field of medical imaging, particularly through his innovative work in fluorescence imaging technology. His research focuses on developing systems that enhance the diagnosis of diseases at a cellular level.

Latest Patents

Aditya Kaza holds a patent for "Devices and systems for fluorescence imaging of tissue." This patent describes a system and method for fluorescence imaging of tissue in vivo and in situ, which is particularly useful for minimally invasive diagnosis of patients. The fluorescent imaging system includes a dye carrier that is coupled to the distal end of a probe containing a fiber optics bundle. This design allows for the introduction of at least one fluorescent dye into a portion of the tissue of interest when the dye carrier is selectively brought into contact with that tissue. The resulting fluorescence images provide valuable diagnostic information regarding the progression of diseases at the cellular and tissue level.

Career Highlights

Aditya Kaza is affiliated with the University of Utah Research Foundation, where he continues to advance his research in medical imaging technologies. His work has the potential to significantly improve diagnostic procedures and patient outcomes.

Collaborations

Some of his notable coworkers include Frank B Sachse and Robert W Hitchcock, who have collaborated with him on various projects related to fluorescence imaging.

Conclusion

Aditya K Kaza's contributions to fluorescence imaging technology represent a significant advancement in the field of medical diagnostics. His innovative approach has the potential to enhance the accuracy and effectiveness of disease diagnosis, ultimately benefiting patient care.

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