Company Filing History:
Years Active: 2018-2025
Title: Byron J. Cheatham: Innovator in Hyperspectral Imaging
Introduction
Byron J. Cheatham is a notable inventor based in Auburn, Alabama, recognized for his contributions to the field of hyperspectral imaging. With a total of three patents to his name, Cheatham has made significant advancements in imaging technologies that have applications in both biological and nonbiological media.
Latest Patents
Cheatham's latest patents include innovative methods and systems for hyperspectral imaging. One of his patents focuses on hyperspectral imaging of moving microscopic sample elements. This method involves acquiring a series of optical images and corresponding hyperspectral data of a sample. The process compiles a movie comprising frames that include optical images and a slit line indicating the location for data acquisition. The analysis of this data generates valuable hyperspectral information about the sample elements.
Another significant patent involves three-dimensional image processing to locate nanoparticles in various media. This patent describes methods for obtaining a three-dimensional volume image of a sample and determining the 3D location of subject particles. It also includes methods for displaying particle locations and enhancing the dynamic range of 3D images, which is crucial for accurately visualizing samples with varying light sources.
Career Highlights
Byron J. Cheatham is currently associated with Cytoviva, Inc., where he continues to develop and refine imaging technologies. His work has positioned him as a key figure in the advancement of hyperspectral imaging techniques.
Collaborations
Cheatham collaborates with notable colleagues, including James Melvin Beach and Samuel M. Lawrence, contributing to a dynamic research environment that fosters innovation.
Conclusion
Byron J. Cheatham's work in hyperspectral imaging exemplifies the intersection of technology and scientific research. His patents reflect a commitment to advancing imaging methodologies that enhance our understanding of complex samples.